"Sascha Becker, Warwick University";"Department of Economics";"2025-09-10";"TBA";"2025-09-10";"TBA";"TBA";"""TBA"". Department seminar arranged by the Department of Economics";"""TBA"" Contact person: Pablo Selaya" "SODAS Lecture with Elliot Ash";"SODAS";"2025-01-31";"11:00";"2025-01-31";"12:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"More information TBA";"More information TBA" "Mathilde Godard, Paris Dauphine University";"CoLab seminar arranged by the Department of Economics";"2024-12-17";"13:15";"2024-12-17";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""TBA"". CoLab Seminar arranged by Department of Economics.";"""TBA"" For more information about Mathilde Godard and her interesting work - link to her website. Contact person: Daphné Skandalis" "SODAS Lecture with Arthur Spirling";"SODAS";"2024-12-13";"11:00";"2024-12-13";"12:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"SODAS Lecture with Professor Arthur Spirling from Princeton University";"Title: Model Complexity for Supervised Learning: Why Simple Models Almost Always Work Best, And Why It Matters for Applied Research Abstract: Inspired by other fields, political scientists have embraced the use of supervised learning for prediction, inference, measurement and description. In doing so, they typically use flexible models of considerable complexity that have proved successful in non-social science settings. Yet there appear to be profound limits to the payoff of such approaches, at least relative to the alternative of using very simple (generalized linear) models for such tasks. We explain why this is, how to identify the problems for which this will be true, and what to do about it. We show that the intrinsic dimension of political science data is low, and this means returns to complexity are muted or non-existent. We provide a theory of “data curation” to explain this state of affairs. Our approach allows us to diagnose when simple models are optimal, and to provide advice for practitioners seeking to use machine learning. Arthur Spirling is the Class of 1987 Professor of Politics and the Director of Graduate Studies. He received a bachelor's and master's degree from the London School of Economics, and a master's degree and PhD from the University of Rochester. Previously, he served on the faculties of Harvard University and New York University. Spirling's research centers on quantitative methods for analyzing political behavior, especially institutional development and the use of text-as-data. His work on these subjects has appeared in outlets such as the American Political Science Review, the American Journal of Political Science and the Journal of the American Statistical Association. Currently he is active on problems at the intersection of data science and social science, including those related to machine learning, and large language models. He previously won teaching and mentoring awards at Harvard and NYU, along with the ""Emerging Scholar"" prize from the Society for Political Methodology." "STEG-CEPR workshop ";"STEG-CEPR workshop arranged by Department of Economics";"2024-12-12";"09:00";"2024-12-13";"17:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"";"The workshop The workshop “Agriculture, Economic Growth, and Structural Transformation” will be held on 12-13. December 2024 at the University of Copenhagen (Denmark) and is planned as an in-person event. The overall theme of the workshop is the interaction between the agricultural sector and major trends in the global economy. The workshop calls for papers covering, but not limited to: Causes and (macroeconomic) consequences of agricultural innovation Effects of climate change and weather shocks on agriculture and the wider economy How changes in global demand for agricultural products affect land use, economic activity, and trade Misallocation of inputs in agriculture Structural transformation in developing countries Call for papers More info on: https://steg.cepr.org/events/agriculture-economic-growth-and-structural-transformation-workshop-call-papers " "Martin Watzinger, University of Münster";"Macroeconomics seminar arranged by the Department of Economics";"2024-12-09";"14:15";"2024-12-09";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“TBA”. Macroeconomics Seminar arranged by Department of Economics.";"""TBA"" For more information about Martin Watzinger and his interesting work - link to his website. Contact person: Morten G. Olsen" "Emily Nix, University of Southern California";"CoLab seminar arranged by the Department of Economics";"2024-12-03";"13:15";"2024-12-03";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""TBA"". CoLab Seminar arranged by Department of Economics.";"""TBA"" For more information about Emily Nix and her interesting work - link to her website. Contact person: Daphné Skandalis" "Liliana Varela, London School of Economics";"Macroeconomics seminar arranged by the Department of Economics";"2024-12-02";"14:15";"2024-12-02";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“TBA”. Macroeconomics Seminar arranged by Department of Economics.";"""TBA"" For more information about Liliana Varela and her interesting work - link to his website. Contact person: Søren Hove Ravn" "SODAS Data Discussion #4 (Fall 2024)";"SODAS";"2024-11-29";"11:15";"2024-11-29";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Hjalmar Bang Carlsen and Yevgeniy Golovchenko for our SODAS Data Discussions fall 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspires to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just loose ideas that relate to the subject of social data science. Two researchers will present their work. The rules are simple: Short presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Hjalmar Bang Carlsen Title: The Performance Accountability Tradeoff in AI Interviews - Comparing Open Source, Open Weight and Proprietary LLMs for Chat Based Qualitative Interviews Abstract: TBA Discussion 2 Presenter: Yevgeniy Golovchenko Title: Sanction Evasion and Covert Maritime Networks Abstract: TBA" "Lukas Freund, Columbia University's Business School";"Macroeconomics seminar arranged by the Department of Economics";"2024-11-25";"14:15";"2024-11-25";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“TBA”. Macroeconomics Seminar arranged by Department of Economics.";"""TBA"" For more information about Lukas Freund and his interesting work - link to his website. Contact person: John Kramer" "Dylan Glover, INSEAD";"CoLab seminar arranged by the Department of Economics";"2024-11-19";"12:45";"2024-11-19";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""TBA"". CoLab Seminar arranged by Department of Economics.";"""TBA"" For more information about Dylan Glover and his interesting work - link to his website. Contact person: Mette Rasmussen" "Peter Reinhard Hansen, University of North Carolina at Chapel Hill";"ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"2024-11-08";"14:00";"2024-11-08";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""TBA"". Seminar arranged by ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"""Option Pricing with Time-Varying Volatility Risk Aversion"" Abstract We introduce a pricing kernel with time-varying volatility risk aversion that can explain the observed time variation in the shape of the pricing kernel. Dynamic volatility risk aversion, combined with the Heston-Nandi GARCH model, leads to a convenient option pricing model, denoted DHNG. The variance risk ratio emerges as a fundamental variable, and we show that it is closely related to economic fundamentals and common measures of sentiment and uncertainty. DHNG yields a closed-form pricing formula for the VIX, and we propose a novel approximation method that provides analytical expressions for option prices. We estimate the model using S&P 500 returns, the VIX, and option prices, and find that dynamic volatility risk aversion leads to a substantial reduction in VIX and option pricing errors. Contact person: Rasmus Søndergaard Pedersen" "Rustam Jamilov, University of Oxford";"Macroeconomics seminar arranged by the Department of Economics";"2024-11-04";"14:15";"2024-11-04";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“TBA”. Macroeconomics Seminar arranged by Department of Economics.";"""TBA"" For more information about Rustam Jamilov and his interesting work - link to his website. Contact person: John Kramer" "SODAS Data Discussion #3 (Fall 2024)";"SODAS";"2024-11-01";"11:15";"2024-11-01";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Marten Appel and Zoe Horlacher for our SODAS Data Discussions fall 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspires to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just loose ideas that relate to the subject of social data science. Two researchers will present their work. The rules are simple: Short presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Marten Appel Title: Secrets of a Good Life Abstract: TBA Discussion 2 Presenter: Zoe Horlacher Title: Multilingual Sustainability Semantics - Perceptions of Sustainability Around the World Abstract: TBA" "Jonas Striaukas, CBS";"ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"2024-10-31";"14:00";"2024-10-31";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Testing for sparse idiosyncratic components in factor-augmented regression models"". ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics.";"""Testing for sparse idiosyncratic components in factor-augmented regression models"" Abstract We propose a novel bootstrap test of a dense model, namely factor regression, against a sparse plus dense alternative augmenting model with sparse idiosyncratic components. The asymptotic properties of the test are established under time series dependence and polynomial tails. We outline a data-driven rule to select the tuning parameter and prove its theoretical validity. In simulation experiments, our procedure exhibits high power against sparse alternatives and low power against dense deviations from the null. Moreover, we apply our test to various datasets in macroeconomics and finance and often reject the null. This suggests the presence of sparsity — on top of a dense model — in commonly studied economic applications. The R package 'FAS' implements our approach. Contact person: Rasmus Søndergaard Pedersen" "Jinglun Yao, Stockholm University";"Macroeconomics seminar arranged by the Department of Economics";"2024-10-28";"14:15";"2024-10-28";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“Knowledge is (Market) Power”. Macroeconomics Seminar arranged by Department of Economics.";"""Knowledge is (Market) Power"" Abstract US corporate concentration has been persistently rising over the past century and productivity growth has been concurrently declining. This paper builds a continuous-time Schumpeterian growth model in which a uniform decline in research efficiency increases the relative growth of leading firms compared to laggards and endogenously thickens the Pareto tail of firms' productivity distribution. With a demand system featuring realistic variable demand elasticities, the model explains a large part of the dynamics of firms' productivity, corporate concentration, markup, labor share, R&D cost, entry and exit rates, as well as job creation and destruction rates in the US since the 1980s. The model can also accommodate increasing concentration with a stable markup and labor share in the pre-1980 period by accounting for the role of economic integration. The social planning problem which maximizes discounted consumer welfare is prima facie equivalent to a problem which maximizes discounted firm outputs. For more information about Jinglun Yao and his interesting work - link to his website. Contact person: John Kramer" "SODAS Lecture with Stephan Lewandowsky";"SODAS";"2024-10-25";"11:00";"2024-10-25";"12:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"SODAS Lecture with Professor Stephan Lewandowsky from the University of Bristol.";"Title: Climate Change Fake News: The Challenges to Science in a ""Post-Truth"" World Abstract: I examine both the “supply side” and “demand side” of climate denial and the associated “fake news”. On the supply side I report the evidence for the organized dissemination of disinformation by political operatives and vested interests, and how the media respond to these distortions of the information landscape. On the demand side, I explore the variables that drive people’s rejection of climate science and lead them to accept denialist talking points, with a particular focus on the issue of political symmetry. The evidence seems to suggest that denial of science is primarily focused on the political right, across a number of domains, even though there is cognitive symmetry between left and right in many other situations. Why is there little evidence to date of any association between left-wing political views and rejection of scientific evidence or expertise. I focus on Merton’s (1942) analysis of the norms of science, such as communism and universalism, which continue to be internalized by the scientific community, but which are not readily reconciled with conservative values. Two large-scale studies (N>2,000 altogether) show that people’s political and cultural worldviews are associated with their attitudes towards those scientific norms, and that those attitudes in turn predict people’s acceptance of scientific. The norms of science may thus be in latent conflict with a substantial segment of the public. Finally, I survey the options that are available to respond to this fraught information and attitude landscape, focusing on consensus communication and psychological inoculation. Professor Stephan Lewandowsky is a cognitive scientist at the University of Bristol whose main interest is in the pressure points between the architecture of online information technologies and human cognition, and the consequences for democracy that arise from those pressure points. He is the recipient of numerous awards and honours, including a Discovery Outstanding Researcher Award from the Australian Research Council, a Wolfson Research Merit Fellowship from the Royal Society, and a Humboldt Research Award from the Humboldt Foundation in Germany. He is a Fellow of the Academy of Social Science (UK) and a Fellow of the Association of Psychological Science. He was appointed a fellow of the Committee for Skeptical Inquiry for his commitment to science, rational inquiry and public education. He was elected to the Leopoldina (the German national academy of sciences) in 2022. Professor Lewandowsky also holds a Guest Professorship at the University of Potsdam in Germany. He was identified as a highly cited researcher in 2022 and in 2023 by Clarivate, a distinction that is awarded to fewer than 0.1% of researchers worldwide. His research examines the consequences of the clash between social media architectures and human cognition, for example by researching countermeasures to the persistence of misinformation and spread of “fake news” in society, including conspiracy theories, and how platform algorithms may contribute to the prevalence of misinformation. He is also interested in the variables that determine whether or not people accept scientific evidence, for example surrounding vaccinations or climate science. He has published hundreds of scholarly articles, chapters, and books, with more than 200 peer-reviewed articles alone since 2000. His research regularly appears in journals such as Nature Human Behaviour, Nature Communications, and Psychological Review. (See www.lewan.uk for a complete list of scientific publications.) His research is currently funded by the European Research Council, the EU’s Horizon 2020 programme, the UK research agency (UKRI, through Centre of Excellence REPHRAIN), the Volkswagen Foundation, the John Templeton Foundation (via Wake Forest University’s “Honesty Project”), Google’s Jigsaw, and by the Social Sciences Research Council (SSRC) Mercury Project. Professor Lewandowsky also frequently appears in print and broadcast media and has contributed around 100 opinion pieces to the global media. He has been working with policy makers at the European level for many years, and he was first author of a report on Technology and Democracy that has helped shape EU digital legislation." "Stelios Michalopoulos, Brown University";"Department of Economics";"2024-10-23";"14:00";"2024-10-23";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""TBA"". Department seminar.";"""TBA"" Contact person: Pablo Selaya" "Thomas Krause, Danmarks Nationalbank";"Macroeconomics seminar arranged by the Department of Economics";"2024-10-07";"14:15";"2024-10-07";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“Do Women Political Leaders Reduce Government Borrowing Costs? Evidence from U.S. Cities”. Macroeconomics Seminar arranged by Department of Economics.";"""Do Women Political Leaders Reduce Government Borrowing Costs? Evidence from U.S. Cities"" Abstract This paper examines the impact of electing female mayors on the financing costs of municipal bonds. Using a regression-discontinuity-design on close mayoral elections in U.S. cities, we find that electing a female mayor results in a reduction of the bond spread by 16-39 basis points compared to electing a male mayor. This effect is not attributable to gender-based differences in fiscal policies or financial disclosures but rather to investors’ perceptions of female mayors. Female mayors receive increased media attention, and this gender effect is more pronounced in cities with a high concentration of individual municipal bond investors and lower levels of gender bias. A joint paper with Iftekhar Hasan and Yaxuan Qi. For more information about Thomas Krause and his interesting work - link to his website. Contact person: Søren Hove Ravn" "SODAS Lecture with Hilke Schellmann";"SODAS";"2024-10-04";"11:00";"2024-10-04";"12:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"SODAS Lecture with investigative reporter and assistant professor of journalism at New York University, Hilke Schellmann.";"Title: How to use non-traditional and interdisciplinary methods to hold AI accountable Abstract: I am an investigative reporter dedicated to uncovering systemic wrongdoing and its impact on vulnerable populations. My recent work has focused on holding artificial intelligence (AI) and algorithms accountable, while also telling the stories of those affected by this profound technological shift. Through exclusive testimony from whistleblowers, numerous Freedom of Information Act (FOIA) requests to obtain internal company documents, interviews with over 200 stakeholders, and my own real-world testing, I have discovered that some of these algorithms, which are responsible for making high-stakes decisions, often cause more harm than good. In my academic practice, I critically examine AI to determine if systematic wrongdoing is embedded within these software tools and whether they effectively address the problems they are designed to solve. To achieve this, I have led unconventional, systematic, and comprehensive research to understand how, when, and for whom these tools function - or fail to function. My work also investigates how to make the assumptions built into these tools explicit and explores the broad societal consequences of their shortcomings. In this lecture, I aim to demonstrate how ""nontraditional"" and interdisciplinary methods, often rooted in my investigative journalism practice, can be employed to hold AI tools accountable. Hilke Schellmann (she/her) is an Emmy award winning investigative reporter and assistant professor of journalism at New York University. As a contributor to The Wall Street Journal and The Guardian, Schellmann writes about holding artificial intelligence (AI) accountable. In her book, The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired, And Why We Need To Fight Back (Hachette), she investigates the rise of AI in the world of work. Drawing on exclusive information from whistleblowers, internal documents and real‑world tests, Schellmann discovers that many of the algorithms making high‑stakes decisions are biased, racist, and do more harm than good. The book is longlisted for the Financial Times’ Best Business Book of the year award. Her eight-part investigative podcast and print series on AI and hiring for MIT Technology Review was a finalist for a Webby Award. Her documentary Outlawed in Pakistan, which played at Sundance and aired on PBS FRONTLINE, was recognized with an Emmy, an Overseas Press Club, and a Cinema for Peace Award amongst others. In her investigation into student loans for VICE on HBO, she uncovered how a spigot of easy money from the federal government is driving up the cost of higher education in the U.S. and is even threatening the country’s international competitiveness. The documentary was named a 2017 finalist for the Peabody Awards." "Brian Higgins, Stockholm University";"Macroeconomics seminar arranged by the Department of Economics";"2024-09-30";"14:15";"2024-09-30";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“Racial Segmentation in the US Housing Market”. Macroeconomics Seminar arranged by Department of Economics.";"""Racial Segmentation in the US Housing Market"" Abstract This paper studies racial segmentation in the US housing market since 1960. I document large differences in housing outcomes for Black and White households. In 1960, Black households on average are 20 percentage points less likely to own a house (relative to White households with the same income); if they owned, their house values are lower by the equivalent of almost one year of annual income; and even when renting they spend less by the equivalent of one month of rental expenditures. By 2019, the rent and price gaps have declined by about half, whereas the gap in ownership rates has not changed. To interpret these facts, I use a dynamic housing assignment model with a choice to buy or rent housing. I estimate the degree of market segmentation by inferring differences in the quality of housing available to Black and White households, and the resulting differences in rents, prices, and the cost of owning a home. The model infers that Black households pay higher quality-adjusted rents and prices, especially at higher qualities, and thus sort into lower quality homes. In terms of lifetime consumption-equivalent welfare, relative to an integrated market, the average Black household is five percent worse off in 1960 and remains one percent worse off in 2019. For more information about Brian Higgins and his interesting work - link to his website. Contact person: John Kramer" "NCBEE";"The Department of Economics";"2024-09-26";"08:00";"2024-09-27";"";"Øster Farimagsgade 5, 1353 København K";"Nordic Conference in Behavioral and Experimental Economics is the 16th edition of the conference, happening on Thursday the 26th to Friday the 27th of September, 2024.";"This yearly conference serves as a meeting point for behavioral and experimental economists active in the Nordic countries, but is also targeted more generally to academic researchers in Europe and beyond. The 16th edition of the conference, happening on Thursday the 26th to Friday the 27th of September, 2024 at the Department of Economics at the University of Copenhagen, will be co-organized by the Department of Economics at CBS and the Department of Technology, Management and Economics at DTU. The organizer team are Christina Gravert (KU), Thomas Markussen (KU), Jimmy Martinez-Correa (CBS), Toke Fosgaard (DTU). We are honored to have as keynote speakers Michel Maréchal from University of Zurich and UCSD and Barbara Fasolo from LSE. The conference is supported financially by the Carlsberg Foundation and the University of Copenhagen. Call for papers Registration is closed. Notification of acceptance will be 17th of June and the registration deadline is 1st of August. Questions about the conference can be sent to Kamma Lind Halvorsen email: klh@econ.ku.dk Practicalities Conference package and travel The conference fee is DKK 700 (including VAT). The fee will cover two lunches and dinner on the 26th. Participants need to cover their own travel and accommodation. The University of Copenhagen has made arrangements with Wakeup Copenhagen, Borgergade. They offer reduced rates for participants in NCBEE 2024. Wakeup Copenhagen is located in the centre of Copenhagen nearby Kongens Nytorv Metro Station. One stop by metro from the conference venue or a 15-minute walk. We highly recommend participants to book their stay as soon as possible.Book your room through this link. The conference dinner will be held at Restaurant Vækst the 26th of September. Conference venue NCBEE will take place at the Department of Economics, University of Copenhagen, Øster Farimagsgade 5. Keynotes Professor Michel Maréchal, University of Zürich and Rady School of Management Michel is a Visiting Professor of Economics at the Rady School of Management, UC San Diego and a Professor at the University of Zurich. His research is highly interdisciplinary, blending economics with social psychology, criminology, political science, and biology, and employs both field and lab experimental methods in collaboration with various organizations. Michel's work covers a wide range of topics including unethical behavior, crime, and economic preferences and has been frequently published in Nature, Science, and the AER among other top journals. He is an Associate Editor at the Journal of the European Economic Association. Website Professor Barbara Fasolo, London School of Economics and Political Science Barbara is an Associate Professor of Behavioural Science in the Department of Management at LSE, renowned for her expertise in choice processes. Her work, featured in top journals like the Annual Review of Psychology and the Proceedings of the National Academy of Sciences, explores the intricacies of decision-making in contexts of risk, trade-offs, and complexity. Through her research, Barbara aims to enhance decision-making with strategies such as choice architecture and debiasing, focusing on areas critical to well-being, such as health, finance, education, and public policy. She leads the LSE Behavioural Lab, a world-leading hub for research on human behavior. Website Programme The full program will be available in mid August. Wednesday 25.9 19.00-20.30 Informal Reception (At own expense).To be held at Cinematiket Rooftop. Link, Gothersgade 55, 1123 København K Thursday 26.9 9.00-9.30 Registration and coffee: Outside room 35.01.06 9.30-9.40 Welcome and practical information: 35.01.06 9.40-10.40 Keynote talk (Barbara Fasolo): “Beyond biases: interventions for mitigating bias in complex decisions”. 35.01.06 10.40-11.10 Coffee break: Outside room 1.1.02 11.10-12.30 Parallel session 1 (4 talks) 12.30-14.00 Lunch: 35.3.20 (Faculty Lounge) 14.00-15.00 Parallel session 2 (3 talks) 15.00-15.30 Coffee break: Outside room 1.1.02 15.30-16.30 Parallel session 3 (3 talks) 18.00-21.00 Conference dinner at “Vækst” Link. Sankt Peders Stræde 34, 1453 Copenhagen K Friday 27.9 9.30-10.00 Coffee: Outside room 1.1.02 10.00-11.20 Parallel session 4 (4 talks) 10.20-11.50 Coffee: Outside room 1.1.02 11.50-12.50 Parallel session 5 (3 talks) 12.50-13.50 Lunch: 35.3.20 (Faculty Lounge) 13.50-14.50 Keynote talk (Michel Maréchal): “Standing in Prisoners’ Shoes: An Experiment on How Incarceration Shapes Criminal Justice Attitudes” 35.01.06 14.50-16.00 Closing reception and group photo: outside room 35.01.06 Download the full program here. " "CEN Workshop";"EduQuant, University of Copenhagen";"2024-09-25";"12:00";"2024-09-25";"18:00";"Øster Farimagsgade 5, DK-1353 Copenhagen";"";"About CEN The Copenhagen Education Network (CEN) is a group of economic researchers interested in education.The network was initiated in spring 2014 by economists from Economics Departments at Copenhagen Business School (CBS), University of Copenhagen (KU) and the Danish Center for Social Science Research (VIVE). It has since been joined by researchers from Lund University, Rockwool Fonden, Aarhus University and Kraks Fonden. The purpose is to provide a venue for economists focusing on education in their research, to present research papers and exchange ideas. We have three workshops every year, alternating between VIVE, UCPH, Lund, Rockwool, Aarhus and CBS. We discuss papers presented by the network participants and a guest speaker. Both theoretical and empirical papers will be presented. The workshop We are pleased to announce that the next Copenhagen Education Network workshop will be organized by UDDanKvant and held at Department of Economics at Copenhagen University, Wednesday September 25, 2024.The keynote speaker will be Katrine Løken: “Sources of Generational Persistence in Education and Income” Katrine V. Løken is Professor of Economics at the Norwegian School of Economics. Her PhD is from University of Bergen in 2010. She is co-research director at CELE since 2017, and a Principal Investigator at the Centre of Excellence FAIR (Centre for Experimental Research on Fairness, Inequality and Rationality). Her main research interests are in early investments in children, and the long-term outcomes and effects of different social policies. She has focused on identifying causal effects of policies such as parental leave, subsidized day care, father’s quota in leave, and cash subsidies for families. Her work combines state-of-the art statistical analysis with access to uniquely detailed Norwegian register data. More recently, she has started a new project looking at the causal effect of incarceration. With the aim of pushing the research frontier in the economics of crime, Løken has acquired access to unique datasets on criminals and victims. Katrine V. Løken has been published in leading economic journals, including American Economic Review, Journal of Political Economy, Review of Economics and Statistics, Journal of Public Economics and American Economic Journal: Applied Economics. Katrine V. Løken is currently Managing Editor at Review of Economic Studies.(For more details about Katrine, see: https://sites.google.com/site/katrinecv/) The workshop will run from noon (including lunch) to around 17:30, followed by dinner. We aim for full paper presentations and shorter idea sessions where researchers are encouraged to present a research idea or very preliminary work. The submission is closed. Program Download the programme for the workshop. " "SODAS Data Discussion #2 (Fall 2024)";"SODAS";"2024-09-20";"11:15";"2024-09-20";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Wiebke Junk and Andreas Bjerre-Nielsen for our SODAS Data Discussions fall 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspires to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just loose ideas that relate to the subject of social data science. Two researchers will present their work. The rules are simple: Short presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Wiebke Junk Title: Lobbying (A)Symmetry - The Dynamics Behind Informed Policy (LOBBYMETRY) Abstract: Wiebke will present the “Lobbying (A)symmetry: The Dynamics Behind Informed Policy” (LOBBYMETRY) project, which was recently awarded an ERC Starting Grant. The project addresses two types of imbalances in lobbying: 1) mobilisation asymmetries, which exclude some actors from the policy debate, and 2) information asymmetries, which empower specific groups in their exchanges with policymakers. The LOBBYMETRY project analyses these asymmetries and their relationship to each other, as well as their effects on the ways in which sectional and public interests feed into policymaking. The project studies these asymmetries across populations of interest organisations in twelve European countries and at European Union level, as well as within the climate and digital policy fields, that vary strongly in mobilisation asymmetries and constitute areas where well- or ill-informed policies have vast consequences for humanity at large. LOBBYMETRY strives to open the black-box of policymaker-lobbyist information exchange within these areas, develop measures of informational quality and accuracy in lobbying, and evaluate how and when lobbying pulls outcomes away from the public interest. Methodologically, the project combines cross-country surveys including an AI-aided survey experiment, cross-venue data on 100 issues in climate and digital policy, and different forms of participant observation of the information exchanges between policymakers and interest organisations in i) natural and ii) researcher-controlled settings. This innovative combination of methods will generate unprecedented quantitative and qualitative evidence on lobbyist-policymaker information exchange in varying contexts. If successful, the project will shed light on a serious blind spot in the state-of-the-art literature: the mechanisms through which lobbying actually informs policies. Its findings will speak to pressing democratic challenges, such as the underrepresentation of citizen interests in digital policy, and the design of institutional interventions to improve consultation practices, lobbying regulation, and the quality of legislation. Discussion 2 Presenter: Andreas Bjerre-Nielsen Title: Coded Clues - Unraveling Learning at High Resolution Abstract: Coded Clues investigates the impact of Intelligent Tutoring Systems on student learning and assessment. By leveraging advanced machine learning and econometric models, the research aims to evaluate the accuracy and fairness of these learning systems in measuring academic knowledge, the effects of teaching exposure, and the long-term learning outcomes. Utilizing high-resolution data from the learning platforms and Danish registry data, the findings will inform educational policy and promote data-driven discussions on the use of technology in education." "Robert Adamek, Aarhus BSS";"ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"2024-09-19";"13:00";"2024-09-19";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Sparse High-Dimensional Vector Autoregressive Bootstrap"". ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"""Sparse High-Dimensional Vector Autoregressive Bootstrap"" Abstract We introduce a high-dimensional multiplier bootstrap for time series data based capturing dependence through a sparsely estimated vector autoregressive model. We prove its consistency for inference on high-dimensional means under two different moment assumptions on the errors, namely sub-gaussian moments and a finite number of absolute moments. In establishing these results, we derive a Gaussian approximation for the maximum mean of a linear process, which may be of independent interest. Contact person: Jesper Riis-Vestergaard" "CANCELLED! Emily Nix, University of Southern California";"CoLab seminar arranged by the Department of Economics";"2024-09-17";"13:15";"2024-09-17";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""TBA"". CoLab Seminar arranged by Department of Economics.";"""TBA"" For more information about Emily Nix and her interesting work - link to her website. Contact person: Mette Rasmussen" "SODAS Lecture with Friedrich Götz";"SODAS";"2024-09-13";"11:00";"2024-09-13";"12:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"SODAS Lecture with Assistant Professor in Social-Personality Psychology at the University of British Columbia, Dr. Friedrich Götz.";"Title: The place to be? At the nexus of psychology and geography Abstract: Nobody lives in a vacuum. Whoever we are and wherever we go, every second of our existence is spent in a physical and sociocultural environment that we inevitably interact with. Building on this simple fact of life, in the present talk I argue that geography is foundational to psychology and that to understand who we are we need to understand where we are. To support this claim, I present original empirical findings that speak to three broad questions: 1) how do places differ psychologically? 2) why do places differ psychologically? and 3) what do these differences mean for individuals and the places in which they live? To address these questions, in my lab I combine large-scale geo-tagged personality datasets with diverse real-world behavioral outcomes and ecological indicators (e.g., housing prices, personal financial records, patent production rates) across multiple countries (e.g., India, Japan, USA) and spatial levels (e.g., states, cities). Among other results, this work 1) demonstrates systematic regional variation in Big Five personality traits, cultural tightness, courage, and loneliness, 2) identifies various ecological (e.g., mountainousness, walkability, climate), sociocultural (e.g., frontier spirit), and economic factors that may contribute to geographical psychological differences, and 3) shows how regional psychological differences may contribute to outcomes as diverse as suicide rates and individual spending. In the current talk, I present a whistle-strop tour of this program of research that highlights some of its most compelling and vexing results. I conclude with personal reflections on doing research at the nexus of psychology and geography and a list of resources for interested researchers and practitioners. Dr. Friedrich Götz (he/him) is an Assistant Professor in Social-Personality Psychology at the University of British Columbia, where he directs the Personality and Geographical Ambiance Laboratory (PANGEA LAB). Originally from Germany, Dr. Götz obtained his PhD from the University of Cambridge, and did a post-doc at the University of California, Berkeley. While easily excited about anything related to personality, the main focus of Dr. Götz’s research is on the causes and consequences of geographical personality differences. To study this, Dr. Götz pursues an interdisciplinary Big Data approach that seeks to combine classic interactionist theories from social and personality psychology with an applied behavioural science perspective and consequential real-world outcomes. Dr. Götz’s work has appeared in interdisciplinary and disciplinary journals such as Nature Human Behaviour, PNAS, American Psychologist, Perspectives on Psychological Science, and the Journal of Personality and Social Psychology and is frequently featured in national and international media outlets such as Scientific American, Forbes, MSNBC, DIE ZEIT, Radiotelevisione Italiana, El País, Neue Zürcher Zeitung and the BBC. At UBC, Dr. Götz teaches various personality courses and graduate classes on geographical psychology and advanced research methods. Outside of the lab, Dr. Götz enjoys running, kayaking and travelling and has a soft spot for dark chocolate, foreign languages, smoky Scotch, old cinemas, German poetry and long walks. He is hopeful that he’ll find a lot of these things in Copenhagen and is thrilled to meet you all at SODAS." "Zeyu Zhao defends his PhD thesis at the Department of Economics";"Department of Economics";"2024-08-23";"13:00";"2024-08-23";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the dissertation is: Essays on Political and Organizational Economics";"Candidate: Zeyu Zhao, Department of Economics, University of Copenhagen Title: Essays on Political and Organizational Economics Supervisor: Morten Bennedsen, Professor, Department of Economics, University of Copenhagen Assessment Committee: Nikolaj A. Harmon, Associate Professor, Department of Economics, University of Copenhagen Astrid Kunze, Professor, NHH Norwegian School of Economics Steffen Andersen, Professor, Head of Research, Danmarks Nationalbank Summary: The advancement of technology and the increased availability of data over the past few decades have significantly expanded the scope of empirical economic research. Utilizing advanced econometric methods and rich datasets, researchers are increasingly able to investigate the nature and functioning of various aspects of our world. In my PhD thesis, I focus on two prominent fields of empirical economic research: political economics and organizational economics. By exploring rich and novel data, these studies contribute to our ever-expanding understanding of political processes and organizations. In the first chapter of my PhD thesis, I focus on political economics and investigate how athlete activism, which is becoming increasingly common over time, affects political outcomes. This chapter provides evidence that National Basketball Association (NBA) players' activism in between 2016 and 2020 has affected the political outcomes in the US. More specifically, I find that if a county has one active NBA player between the 2016 and the 2020 U.S. presidential election, the percentage of people voting for the Democratic Party would increase by around one percentage point. This result is obtained by using a difference in differences approach that compares these counties with a control group of counties that have an active minor league basketball player over the same period. I interpret this as the result of the role model effect by the local NBA athletes. To support this hypothesis, I show that these counties also have an increase in protests of more than 30 percent, one or two months after the police killing of George Floyd. Despite the increase in protests, polarization does not rise in these counties as a result. I further show that having NBA athletes mainly increases the white population's awareness of racial inequality. These results support the role model effect channel and provide evidence that public leaders and activism play a significant role in social movements. I focus on organizational economics for the rest of my thesis. More specifically, I examine the interactions between organizations and labor. The second chapter of my thesis studies organizations' hiring behaviors and decisions. My coauthors Antoine Bertheau and Birthe Larsen and I design an innovative survey of firms and link it to the Danish administrative data to yield new insights about factors that can influence firms' hiring decisions. We find several important results. First, search and training frictions and economic uncertainty are as important as labor costs in hiring decisions. Second, search and training frictions are more likely to affect younger and smaller firms. Third, firms that prefer to hire employed rather than unemployed workers are more likely to report that labor market frictions and labor cost considerations alter their hiring decisions. Lastly, firms with inaccurate beliefs about their wages are more likely to report that labor cost considerations alter their hiring decisions. Overall, this chapter expands the existing understanding of and sheds new light on the hiring process and behaviors of organizations. The third chapter of my PhD thesis investigates how the working environment is linked to the outcomes of organizations and employees. Together with my coauthors Mario Daniele Amore, Morten Bennedsen, and Birthe Larsen, we use a large-scale survey and register data from Denmark to construct firm-level measures of the working environment, which allows us to capture its physical, psychological, and social dimensions. We document three stylized facts about firms with better working environments. First, they exhibit higher profitability. Second, they have higher innovation quality, as captured by patent citations and survey data. Third, their employees are healthier and have longer tenure. Overall, these findings are consistent with the belief that both shareholders and employees would benefit significantly from improvements in the working environment. An electronic copy of the thesis can be requested here: lema@econ.ku.dk" "SODAS Data Discussion #1 (Fall 2024)";"SODAS";"2024-08-23";"11:15";"2024-08-23";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Torben Heien Nielsen and Jens Bjerring-Hansen for our SODAS Data Discussions fall 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspires to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just loose ideas that relate to the subject of social data science. Two researchers will present their work. The rules are simple: Short presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Torben Heien Nielsen Title: The Anatomy of Paradigm Shifts - The Role of Healthcare Professionals in the Proliferation of Ideas over 500 Years from 1479-2000 Abstract: A fundamental question in economics asks for the roots of history’s great mortality transition when life expectancy rose from 40 to 80 years in less than a century. We depart from the insight that science, knowledge, and technology are keys to any coherent explanation and combine this idea with results from research on contemporary economies, that physician beliefs about best practice and peer interactions are key inputs for population health. We ask two overarching questions: 1) What role did networks of healthcare professionals play in the spread and growth of medical ideas and innovations in the healthcare sector over a 500-year period? 2) How did the transmission of ideas and innovation ultimately benefit the health of the general population and the inequality across heterogeneous population groups? By training an artificial neural network to read more than 90,000 individual biographies identified in national archives, we have built a novel database covering the entire Danish labor force of physicians 1479-2000. Using this database, we will investigate the adoption of new ideas in networks of physicians and investigate whether historical circumstances in the physician labor market promoted or hindered the spread of ideas to the benefit of the population. Discussion 2 Presenter: Jens Bjerring-Hansen Title: Making Sense of 900 Novels - An Introduction to the MeMo and MiMe Projects Abstract: Jens Bjerring-Hansen is an associate professor at UCPH working with Scandinavian literature. He is the leader of the ongoing research project, MeMo – Measuring Modernity: Literary and Social Change in Scandinavia 1870-1900. In the presentation he will address the possibilities–and intricacies–of capturing literary and social trends in a large corpus of novels, inaccessible for a human reader, as well of making use of language models for analytical purposes when working with low-resource language data." "Nordic Summer Symposium in Macroeconomics 2024";"Department of Economics and Center for Economic Behavior and Inequality (CEBI)";"2024-08-06";"";"2024-08-09";"";"";"16th Nordic Summer Symposium in Macroeconomics, 6-9 August 2024 in Snekkersten, Denmark. ";"Nordic Summer Symposium in Macroeconomics 2024 The symposium is an academic research conference in the area of macroeconomics. It is primarily aimed at promoting frontier contributions by junior macroeconomic researchers. The symposium allows the junior researchers to present and discuss their research and to receive advice and constructive criticism from more senior macroeconomic scholars. Call for paper: The conference is primarily created to promote and facilitate the work of junior researchers. Researchers with an interest in or connection to the Nordic countries (Denmark, Finland, Iceland, Norway and Sweden) are particularly appreciated but the call is open to all junior applicants. Junior refers to those about to graduate from a PhD program, assistant professors, and recently tenured senior professors. Submission procedure: Interested applicants should complete the online application form. Please indicate whether you would be prepared to serve as a discussant of a paper. The deadline for submissions is Sunday April 7, 2024. For more information about the symposium: https://sites.google.com/view/normac2024/home" "Giuseppe Cavaliere, University of Bologna";"ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"2024-07-04";"15:30";"2024-07-04";"16:30";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Bootstrap Diagnostic Tests"". Seminar arranged by ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics)";"""Bootstrap Diagnostic Tests"" Abstract Violations of the assumptions underlying classical asymptotic theory frequently lead to unreliable statistical inference. This paper proposes a novel bootstrap-based diagnostic procedure to detect such violations. The suggested approach (i) focuses on the distance between the conditional distribution of a bootstrap statistic and the (limiting) Gaussian distribution, and (ii) proposes a method to assess whether this distance is large enough to indicate the invalidity of the asymptotic approximation. The method, which is computationally straightforward, involves applying standard normality tests to a set of bootstrap repetitions to assess significant deviations from the Gaussian distribution. Importantly, these diagnostics do not induce any pre-testing bias, thus improving the reliability of statistical inference. To demonstrate the practical relevance and broad applicability of our diagnostic procedure, we discuss five scenarios where the asymptotic Gaussian approximation fails: (i) detecting infinite variance innovations in a location model for i.i.d. data; (ii) identifying non-stationary behavior in autoregressive time series; (iii) parameters near or at the boundary of the parameter space; (iv) invalidity of the delta method due to (near-)rank deficiency in the implied Jacobian matrix; and (v) weak instruments in instrumental variable regression. Joint with Luca Fanelli – University of Bologna Contact person: Anders Rahbek" "Lars Harhoff Andersen defends his PhD thesis at the Department of Economics";"Department of Economics";"2024-07-02";"15:00";"2024-07-02";"17:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the dissertation is: The Wealth of Names: Measuring Values in Economic History";"Candidate: Lars Harhoff Andersen, Department of Economics, University of Copenhagen Title: The Wealth of Names: Measuring Values in Economic History Supervisor: Jeanet Sinding Bentzen, Associate Professor, Department of Economics, University of Copenhagen Assessment Committee: Casper Worm Hansen, Professor, Department of Economics, University of Copenhagen Edward Glaeser, Professor, Department of Economics, Harvard University Ekaterina Zhuravskaya, Professor, Department of Economics, Paris School of Economics Summary: The Ph.D. dissertation consists of three self-contained chapters, each developing novel ways of measuring cultural values and the way it affects economic and institutional development. In the first chapter (co-authored with Jeanet Bentzen), we examine the role played by religion for the emergence of modern science and economic growth. To do so, we develop novel measures of religiosity based on arguments in psychology and sociology that given names may reflect cultural identities of parents. To validate our measures, we find that among 487,000 individuals born in Europe between 1300 and 1940, those with religious names were more likely to hold religious occupations, be born after earthquakes and in areas where surveys indicate higher levels of religiosity. Next, we document that individuals with religious names were less inclined to become scientists, engineers, or to engage in advanced studies. For identification, we exploit family links and exogenous shocks to religiosity by earthquakes in migrants' birthplace. Last, we find that declining religiosity is associated with rising economic growth and more patents in cities across Europe. We rule out mechanisms such as differences across Protestants and Catholics, a general preference for tradition, birth-order effects, name-changing, and parental characteristics. The results corroborate a literature arguing that religion may conflict with modern science, which became increasingly important for economic growth after the Technological Revolution. In the second chapter, the impact of Germanic culture on democratic development in Europe is explored. The paper develops novel methods, using first names to measure the spread of Germanic culture across Europe. Using these methods, I estimate the effect of Germanic culture on democratization from the Middle Ages to the 21st century. First, I find that germanization is associated with the development of the protodemocratic institutions of the commune in the late Middle Ages and early modern period. Second, I find that germanization is associated with a higher level of democratic development at the national level from the early 19th century to the late 20th century. Finally, I find that regions with higher levels of germanization exhibit stronger democratic attitudes in the 21st century. The results contribute to a better understanding of why some regions are more Democratic, in the past and the present. While the idea that Germanic culture was beneficial to the development of democracy has been around for centuries, the present paper constitutes the first econometric test of the hypothesis. In the final chapter (co-authored with Tom Raster)we test this theory by devising a new measure of bourgeois values from first names in the US census, which we find to be strongly correlated with entrepreneurship and income. For identification, we leverage the ad hoc road trips of two prominent public exponents of bourgeois values in the early 20th century: Henry Ford and Thomas Edison. Referring to themselves as “the Vagabonds”, Edison and Ford quasi-exogenously exposed different localities to prominent bourgeois role models across several road trips between 1918 and 1924. Visits by “the Vagabonds” cause an increase in our measure of bourgeois values that, in turn, increase income and the frequency of entrepreneurship. Our findings suggest that culture and values drive innovation and that even moderate shocks to cultural values can have lasting effects. An electronic copy of the dissertation can be requested here: lema@econ.ku.dk" "David Atkin, MIT ";"Department of Economics";"2024-06-21";"10:30";"2024-06-21";"11:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The incidence of misallocation"". Seminar arranged by DERG (Development Economics Research Group)";"""The incidence of misallocation"" Abstract The presence of pervasive market failures affecting economic activity is arguably the key feature that distinguishes developing countries from developed ones. A vast literature has produced a deep understanding of the implications of distortions for misallocation and aggregate standards of living. What is far less well understood, however, is the extent to which the burden of these distortions is shared equally across households. This project combines administrative microdata with general equilibrium models of heterogeneous agents in a distorted economic environment to obtain answers to this question in the context of Chile. Contact person: Neda Trifkovic" "Till von Wachter, UCLA";"CoLab seminar arranged by the Department of Economics";"2024-06-18";"13:15";"2024-06-18";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Labor Market Impact of Shareholder Power: Worker-Level Evidence"". CoLab Seminar arranged by Department of Economics.";"""The Labor Market Impact of Shareholder Power: Worker-Level Evidence"" Abstract Using worker-level data from the US Census Bureau’s LEHD program from 1993 through 2015, we show that shareholder power leads to large earnings losses for employees. We track the earnings of employees up to five years after their firms experience a material increase in concentrated ownership by block institutional shareholders, relative to employees of other firms that experience a similarly sized increase in ownership by diffused institutional shareholders. We find that over the next six years, the cumulative earnings of the affected employees decline by 10% of their pre-event annual earnings on average. Workers with “high skills” (such as those with earnings in the top tercile) and top managers (such as chief executives) bear the brunt of the negative impact, with the cumulative earnings declining by 16% and 63%, respectively. In contrast, shareholder power does not affect the earnings of employees with relatively low pay. There is also a negative impact on hiring but no impact on employee departures nor differential earnings losses conditional on departure, suggesting that separation is not the main channel underlying the earnings losses. The collection of evidence is consistent with concentrated ownership increasing shareholders’ bargaining power, which in turn reduces employees’ rents. With Antonio Falato, Daniel Gallego, and Hyunseob Kim. For more information about Till von Wachter and his interesting work - link to his website. Contact person: Kristoffer Balle Hvidberg" "Onno Kleen, Erasmus University";"FRU (Finance Research Unit)";"2024-06-18";"11:00";"2024-06-18";"12:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Equity Option Prices and Firm Characteristics "". Seminar arranged by FRU (Finance Research Unit)";"""Equity Option Prices and Firm Characteristics"" Abstract We investigate the information content of firm characteristics for the cross-section of equity option prices. We first show that 42 out of 86 characteristics significantly explain differences in the implied volatility surface (IVS) across stocks. Then, we exploit this relation to price equity options. We estimate the IVS of a given stock by using local linear forests to optimally pool option information from stocks with similar characteristics, which overcomes the illiquidity of the equity option market. Our method improves upon stock-specific benchmarks in pricing options out-of-sample and allows us to uncover the nonlinear interactions between characteristics and option prices. (Joint work with Gustavo Freire)" "Matthew O. Jackson, Stanford University";"Department of Economics jointly with SODAS";"2024-06-17";"10:00";"2024-06-17";"11:30";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"""Interaction between Multiple Layers of Networked Relationships and Implications for Diffusion"". Department Seminar arranged by Department of Economics jointly with SODAS";"""Interaction between Multiple Layers of Networked Relationships and Implications for Diffusion"" Abstract People have relationships with others for many different reasons--for example, sharing advice and information, working together, borrowing and lending, etc.--a phenomenon called multiplexing. Using a dataset of about 30,000 households in 143 villages in Karnataka, India, we document some basic facts about multiplexing. There are significant correlations between different network layers, identifying a “backbone” social structure that is essentially orthogonal to standard network proxies such as geographic proximity or co-ethnicity. We demonstrate that statistics derived from the backbone network are strongly predictive of information diffusion. We show that multiplexing impedes simple contagions, but may enhance contagions of norms and behaviors that require reinforcement. Finally, we document how multiplexing varies by gender and wealth, potentially affecting information access. Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University and an external faculty member of the Santa Fe Institute. He was at Northwestern University and Caltech before joining Stanford, and received his BA from Princeton University in 1984 and PhD from Stanford in 1988. Jackson's research interests include game theory, microeconomic theory, and the study of social and economic networks, on which he has published many articles and the books `The Human Network' and `Social and Economic Networks'. He also teaches an online course on networks and co-teaches two others on game theory. Jackson is a Member of the National Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, the Econometric Society, and the Game Theory Society. For more information about Matthew O. Jackson and his interesting work - link to his website. Contact person: Andreas Bjerre-Nielsen" "SODAS lecture: Interaction between Multiple Layers of Networked Relationships and Implications for Diffusion";"SODAS";"2024-06-17";"10:00";"2024-06-17";"11:30";"Gothersgade Auditoriet, Det Samfundsvidenskabelige Fakultetsbibliotek - Gothersgade 140, 1st floor, 1123 København K.";"SODAS Lecture by the William D. Eberle Professor of Economics at Stanford University Matthew O. Jackson";"Title: Interaction between Multiple Layers of Networked Relationships and Implications for Diffusion Abstract: People have relationships with others for many different reasons--for example, sharing advice and information, working together, borrowing and lending, etc.--a phenomenon called multiplexing. Using a dataset of about 30,000 households in 143 villages in Karnataka, India, we document some basic facts about multiplexing. There are significant correlations between different network layers, identifying a “backbone” social structure that is essentially orthogonal to standard network proxies such as geographic proximity or co-ethnicity. We demonstrate that statistics derived from the backbone network are strongly predictive of information diffusion. We show that multiplexing impedes simple contagions, but may enhance contagions of norms and behaviors that require reinforcement. Finally, we document how multiplexing varies by gender and wealth, potentially affecting information access. Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University and an external faculty member of the Santa Fe Institute. He was at Northwestern University and Caltech before joining Stanford, and received his BA from Princeton University in 1984 and PhD from Stanford in 1988. Jackson's research interests include game theory, microeconomic theory, and the study of social and economic networks, on which he has published many articles and the books `The Human Network' and `Social and Economic Networks'. He also teaches an online course on networks and co-teaches two others on game theory. Jackson is a Member of the National Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, the Econometric Society, and the Game Theory Society." "Alais Martin-Baillon, NYU Abu Dhabi";"Macroeconomics seminar arranged by the Department of Economics";"2024-06-10";"14:15";"2024-06-10";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“Do firm heterogeneous expectations drive capital misallocation?”. Macroeconomics Seminar arranged by Department of Economics.";"“Do firm heterogeneous expectations drive capital misallocation?” Abstract This paper empirically differentiates two sources of observed dispersion in the firms' marginal product of capital (MPK), commonly labeled as capital misallocation. One source is barriers preventing firms from equalizing their expected MPK with the marginal cost of capital. The second source stems from discrepancies between the expected MPK and the realized MPK. Understanding the causes of capital misallocation is crucial for determining the necessity and form of policy interventions. To investigate that, we use a quarterly panel survey of French firms' expectations, combined with administrative data, which allows us to analyze in depth the relationship between expectations and capital misallocation. We show that dispersion in firms' ability to forecast their own outcomes contributes to the observed dispersion in MPK. This suggests that observed dispersion in MPK may not solely indicate frictions that prevent firms from implementing their optimal investment plans but may also stem from imperfect information. For more information about Alais Martin-Baillon and her interesting work - link to her website. Contact person: John Vincent Kramer" "Paolo Paruolo, European Commission Joint Research Centre";"ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"2024-06-04";"15:00";"2024-06-04";"16:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Specification tools for time fixed effects in country panels"". ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"""Specification tools for time fixed effects in country panels"" Abstract This paper proposes specification tools for time fixed-effects in country panels, that can guide the specification of the time FE among a set of models including the standard two-way fixed-effect model, and other multi-way fixed effect specifications. The tools are based on the observable characteristics of univariate time series of contrasts implied by a given specification; they use flagging rules based on graphical or statistical analysis. Evidence on which contrasts do not contain time fixed-effects can be harvested by algorithms; this paper discusses two examples of such algorithms. Implications for the specification of Differences in Differences estimation are discussed, and results are illustrated using a country panel of prices of mobile telecommunication services. Joint with Giulia Canzian and Louis Ronchail Contact person: Anders Rahbek" "Raphael Schoenle, Brandeis University";"Macroeconomics seminar arranged by the Department of Economics";"2024-06-03";"14:15";"2024-06-03";"15:30";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"""The Expectations of Others"". Macroeconomics Seminar arranged by Department of Economics.";"""The Expectations of Others"" Abstract How do social networks affect inflation expectations? In a model of memory and recall, we analytically show conditions under which social networks amplify inflation expectations as well as necessary conditions for belief stability. In particular, sharing salient experiences or sharing experiences among similar individuals can intensify amplification. Using a novel dataset that integrates information on inflation expectations with social network connections, our empirical analysis reveals several key findings in line with the model predictions: Inflation expectations within one's social network are positively associated with individual inflation expectations. This relationship is stronger for groups that share common demographic characteristics such as gender, income, or political affiliation. An instrumental variable approach further establishes causality of these results while also showing that salient information disseminates strongly through the network. Our estimates imply that the influence of the social network amplifies but does not destabilize inflation expectations. For more information about Raphael Schoenle and his interesting work - link to his website. Contact person: Jeppe Druedahl" "Mathilde Lund Holm defends her PhD dissertation at the Department of Economics";"Department of Economics";"2024-05-30";"10:30";"2024-05-30";"12:30";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"The title of the dissertation is: Empirical Essays on Family Economics: Divorce, Children, and Gender Inequality";"Candidate: Mathilde Lund Holm, Department of Economics, University of Copenhagen Title: Empirical Essays on Family Economics: Divorce, Children, and Gender Inequality Supervisor: Mette Ejrnæs, Professor, Department of Economics, University of Copenhagen Assessment Committee: Torben Heien Nielsen, Associate Professor, Department of Economics, University of Copenhagen Libertad González, Professor, Department of Economics, Universitat Pompeu Fabra and Barcelona School of Economics Herdis Steingrimsdottir, Associate Professor, Department of Economics, Copenhagen Business School Summary: This Ph.D. dissertation was part of the 5+3 Ph.D. program at the Department of Economics, University of Copenhagen, with generous funding from the ROCKWOOL Foundation. The dissertation consists of three self-contained chapters all engaging in the field of Economics of the Family. The chapters share a common interest in family events and dynamics and use Danish register data and microeconometric methods to study either divorce or fertility. The first- and second chapters study divorce and the third paper focuses on fertility. Chapter 1: The Effects of Parental Union Dissolution on Children’s Test Scores The first chapter, coauthored with Peter Fallesen and Eskil Heinesen, provides evidence of the adverse effects of parental union dissolution on children’s test scores. First, controlling for individual fixed effects and using recent advancements in staggered difference-in-differences methods, we find negative effects on test scores that increase from the year of parental separation to four years after. The decline in test scores originates from children in the middle of the skill distribution. Second, we find indications of an immediate negative effect using a regression discontinuity design, with the difference in time between the test date and parental separation date as the running variable. Chapter 2: Unveiling New Realities: The Economic Disparities for Fathers After Divorce The second chapter concludes that the economic repercussions of divorce are more significant for men than women in Denmark. This conclusion is controversial in the light of the existing literature. This paper identifies the causal effect of divorce by applying a staggered difference-in-difference model and using later-treated fathers as a control group. At the time of parental separation, fathers face a substantial decline of 9 percent of annual earnings, whereas the decline for mothers is only 2 percent. The adverse effect for paternal earnings has intensified over time, especially for cohorts separating between 2005 and 2014. Lastly, the paper suggests that increased paternal childcare responsibilities could be an essential mechanism. Chapter 3: The Cohabitation and Child Penalty in Non-Nuclear Families The third chapter, coauthored with Mette Ejrnæs, focuses on fertility and its economic adverse impact on women. Despite advancements in gender equality, income disparities persist, and parenthood remains a pain point for gender equality. The term ""child penalty"" highlights the financial cost of having children, primarily observed for mothers. This study explores the child penalty in non-nuclear families to contribute to a deeper understanding of the mechanisms and drivers behind it. It compares the experiences of mothers who have their first child in nuclear families to (step)mothers who have their firstborn child with a spouse who has children from previous relationships. Both groups face a child penalty at childbirth, with stepmothers experiencing a more significant impact. Interestingly, a cohabitation penalty is observed for both, but it appears to be more enduring for stepmothers. Using Danish register data and a double-event study method, these findings contribute to understanding the complexities surrounding parenthood and gender equality. An electronic copy of the dissertation can be requested here: lema@econ.ku.dk " "Jason Sockin, IZA/Cornell University";"CoLab seminar arranged by the Department of Economics";"2024-05-28";"13:15";"2024-05-28";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Dancing with the Stars: How Workers Respond to Politically-Charged Job Ads"". CoLab Seminar arranged by Department of Economics.";"""Dancing with the Stars: How Workers Respond to Politically-Charged Job Ads"" Abstract While nouns in the German language are gendered toward males, the introduction of the ``gender star'' or ``gender colon'' have allowed for nouns to be interpreted as not assigning gender, or non-binary. Their usage however has become highly politically polarizing. Using over 40 million online job postings from 2016 to 2023, we document the rising prevalence of the gender star in the German labor market, particularly in German counties with greater support for the Green party. We then study how job seekers respond when the advertised job title includes such non-binary punctuation. Job seekers click substantially more often on job ads with gender-inclusive language. This relationship is larger in counties, occupations and sectors where gender-inclusive language is scarcer, suggesting a higher value for this amenity in such contexts. Finally, using a survey experiment, we investigate how such politically-charged signals in job ads affect sorting and labor market polarization. For more information about Till von Wachter and his interesting work - link to his website. Contact person: Mette Rasmussen" "Alexander M. Dietrich, Danmark Nationalbank";"Macroeconomics seminar arranged by the Department of Economics";"2024-05-27";"14:15";"2024-05-27";"15:30";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"""Inflation Preferences"". Macroeconomics Seminar arranged by Department of Economics.";"“Inflation Preferences” Abstract We document novel survey-based facts on preferred long-run inflation rates among U.S. consumers. Consumers on average prefer a 0.20% annual inflation rate, well below the Federal Reserve’s 2% target. Inflation preferences not only correlate with demographic and socioeconomic characteristics, but also with economic reasoning. A randomized control trial reveals that two narratives based on economic models—describing how inflation lowers the real value of wages and money holdings—affect inflation preferences. While our results can inform the design of central bank communication on inflation targets, they also raise questions about the alignment between such targets and consumer preferences. For more information about Alexander M. Dietrich and his interesting work - link to his website. Contact person: John Vincent Kramer" "SODAS Data Discussion #4 (Spring 2024)";"SODAS";"2024-05-17";"11:15";"2024-05-17";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Vincent Gadegaard and Jeppe Johansen for our SODAS Data Discussion spring 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Two researchers will present their work. The rules are simple: Short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Vincent Gadegaard. Title: Challenges of Heterogeneity in Social Media Behavior Data. Abstract:In this data-discussion, I share the tentative approach, data, and results of a work-in-progress paper on political participation on public political facebook posts. Following this introduction to my paper, I discuss my general data challenges, and the troubles using the aggregation of individual level social media behavioral data in answering theoretically driven question. Here I touch upon affordances of social media usage and interpretation of behavior, and open up discussion on how to quantify more qualitatively driven questions in the data. Discussion 2 Presenter: Jeppe Johansen. Title: Peer Effects in High School Application. Abstract: This paper investigates peer effects in high school applications within the context of the Danish education system. It considers all Danish 9th graders from the period 2015 to 2019, addressing the binary choice problem of whether to apply for high school. This encompasses a total of approximately 300,000 students. The study builds on recent advancements in the econometric literature that exploit insights from game theory, particularly the notion that peer effect games are supermodular and allow for fixed point iteration under an equilibrium selection rule (Boucher et al. 2022; Graham and Pelican 2023). Additionally, this paper reframes the discrete choice problem as a perturbed utility model, which facilitates considerably easier estimation than the method proposed by Graham and Pelican 2023. Specifically, the estimation process iteratively performs a logistic regression and then proceeds to a solution step, iterating to a fixed point in the supermodular game. The estimation method is validated through a Monte Carlo simulation demonstrating that a simple approach of plugging in peer averages will yield biased results. The parameter estimates from the real data align with these findings, and the estimation approach suggested in this paper indicates considerably smaller peer effects than what would be suggested by merely plugging in peer averages. Finally, the structural parameters are used for policy simulation of implementing a GPA cutoff of 7. The results indicate that this policy would lead to a substantial decrease in high school applicants, with peer effects having a significant impact on the reduced application numbers." "SODAS Lecture: The Political Effects of Social Media Affordances";"SODAS";"2024-05-07";"14:00";"2024-05-07";"15:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"The Political Effects of Social Media Affordances: Evidence from the US 2020 Facebook and Instagram Election Study by Pablo Barberá";"Title: ‘The Political Effects of Social Media Affordances: Evidence from the US 2020 Facebook and Instagram Election Study’ Abstract: Do social media platforms create echo-chamber environments that exacerbate political polarization? Do resharing features contribute to the spread of harmful content? And how do feed ranking algorithms contribute to both of these processes? In this talk, I provide new evidence regarding these questions based on the first four published studies within the U.S. 2020 Facebook and Instagram Election Study, a partnership between Meta researchers and external academics to understand the impact of Facebook and Instagram on key political attitudes and behaviors during the US 2020 elections. These first four papers include a series of experiments that manipulated key platform features for a set of participants to explore subsequent effects on polarization, knowledge, and attitudes towards democracy; as well as analysis of aggregated data for all Facebook adult users in the US. I will also provide an overview of the project, which followed the principles of independence, transparency, and consent; and which took important steps to ensure its scientific integrity, such as pre-registration of analysis plans, no pre-publication approval by Meta, IRB review, and the release of data required to enable replication. Pablo Barberá is a Research Scientist in Meta's Computational Social Science team and an Adjunct Associate Professor in the Department of Political Science and International Relations at the University of Southern California. He received his PhD in Political Science from New York University, where he was affiliated with the Social Media and Political Participation lab and the Center for Data Science. Prior to joining Meta, he was an Assistant Professor of Computational Social Science in the Methodology department at the London School of Economics. His research combines computational methods and the use of social media data to examine the impact of digital technologies on political behavior and public opinion. " "CANCELLED: DISTRACT Talk with Signe Vangkilde and Anne Marie Kristensen ";"DISTRACT";"2024-05-03";"11:00";"2024-05-03";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"""Mastering Meta-Control: From Cognitive Mechanisms to Practical Strategies"" with professor Signe Vangkilde and PhD Anne Marie Kristensen, Department of Psychology, University of Copenhagen ";"The talk is unfortunately cancelled due to illness ----------------------------------------------------------------------------------------- Title: Mastering Meta-Control: From Cognitive Mechanisms to Practical Strategies Abstract:In an age where digital distractions are omnipresent, understanding and mastering attention control has never been more crucial. The media often draw our attention to a so-called war on attention, with companies incorporating mechanisms in apps, games, and platforms to capture our attention and make us return repeatedly as part of the attention economy. The aim of this talk is to explore core concepts and mechanisms of attention and control. How do we employ meta-control to focus our attention while still allowing our mind to flexibly shift from one task to another, and what happens when multiple stimuli compete to grasp our attention at once? We will begin by exploring the cognitive underpinnings of attention control, examining both focused engagement and the dynamics of a wandering mind. Another prominent public debate driven by politicians and experts revolves around the role and impact of digital media and technologies in Danish classrooms, with some claiming that digital and social media are directly harmful to children’s attention span and concentration abilities, calling for a ban on these technologies. In a different approach to this discussion, the second part of our talk will focus on research-based ways of strengthening children’s (and adults’) concentration skills and abilities to shift flexibly between tasks. Longitudinal studies indicate that these skills are crucial for later life outcomes, such as academic performance, career choices, social interactions, and criminal offences. These findings underscore the profound impact of attention control on lifelong learning and behavior. Drawing on our research project On Track, we will elaborate on ways to support, help, and train our attentional control in order for our attentional focus to be as stable as possible, while allowing for flexibility and not be easily led astray by irrelevant distractors. Bios:Signe Vangkilde a Professor of Cognitive Neuropsychology, specialising in cognitive control and attention in heath and disease at the Department of Psychology, University of Copenhagen (UCPH). Anne Marie Kristensen (aka Rie) is a PhD student at the Department of Psychology at UCPH. Her PhD project is supported by TrygFonden and the Independent Research Fund Denmark, and her research is focused on mechanisms and activities, which can support attention control and academic well-being in schoolchildren. Join the talk through zoom by following this link: https://ucph-ku.zoom.us/j/62386697589 " "Anna Picco, European Central Bank";"Macroeconomics seminar arranged by the Department of Economics";"2024-04-29";"14:15";"2024-04-29";"15:30";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"“Dynamic credit constraints: theory and evidence from credit lines”. Macroeconomics Seminar arranged by Department of Economics.";"""Dynamic credit constraints: theory and evidence from credit lines"" Abstract We use a comprehensive Swedish credit register data to document that firms throughout the size distribution have access to fairly large and reasonably priced credit lines. However, they borrow relatively little from their credit lines. We also find that credit lines utilization is negatively related to real and financial uncertainty, suggesting that the observed low utilization is the result of tight 'dynamic' credit constraints, rather than unneeded funds. We illustrate the concept of 'dynamic' credit constraints with a simple theoretical model that we use to estimate the borrowing capacity of each firm. We find that the estimated credit capacity is highly correlated with direct empirical measures of credit capacity based on credit lines committed amounts. Joint work with Niklas Amberg, Tor Jacobson, and Vincenzo Quadrini. For more information about Anna Picco and her interesting work - link to her website. Contact person: John Kramer " "SODAS Lecture: What is emotion?";"SODAS";"2024-04-29";"11:00";"2024-04-29";"12:30";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5.";"Methodological and quantitative considerations in the study of emotion phenomenology and physiology by Dr. Nicholas Coles.";"Talk TitleWhat is emotion? Methodological and quantitative considerations in the study of emotion phenomenology and physiologyTalk DescriptionA remarkable feature of emotions is that they are felt — we can experience the sting of rejection just as we can experience the sting of an ant bite. These emotional experiences are a fundamental part of the human condition. As such, researchers across multiple disciplines seek to understand, predict (e.g., via emotion recognition AI), and improve the emotions that are so central to our day-to-day experiences. In this talk, Dr. Nicholas Coles will review methodological and quantitative approaches designed to illuminate the nature of emotional experience. Many theorists posit that emotional experience is built off sensations emanating from the peripheral nervous system (e.g., tensed muscles and accelerated hearts). Dr. Coles will review how these ideas have recently been probed via meta-analysis, an adversarial big team science collaboration, cross-cultural tests of outstanding methodological issues, and a big team machine learning challenge. Bio: Dr. Nicholas Coles is a Research Scientist at the Stanford University Human-Centered AI center, where he conducts research on emotions, big team science, and quantitative methods. He received his PhD in Social Psychology from the University of Tennessee, with additional postdoctoral training at Harvard University. His work has been published in outlets like Nature, Nature Human Behaviour, and Psychological Bulletin and has received several awards, including: the Einstein Foundation Award for Promoting Quality in Research, the CORES Open Science Innovator Award, and three fellowships from the U.S. National Science Foundation. Starting in August, Nicholas will be an Assistant Professor at the University of Florida Department of Psychology. " "Alexandra Roulet, INSEAD";"CoLab seminar arranged by the Department of Economics";"2024-04-23";"13:15";"2024-04-23";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Do working time reductions share work? Evidence from the 35hours workweek reform in France"". CoLab Seminar arranged by Department of Economics.";"""Do working time reductions share work? Evidence from the 35hours workweek reform in France"" Abstract Reductions of the full-time workweek have been introduced widely and are actively debated in several countries. These policies target either (i) workers’ welfare, hence assuming that workers keep their job and income, or (ii) firms’ organization, aiming at worksharing. This paper provides a comprehensive assessment of the causal effects of reducing the full-time workweek on workers and firms and quantifies worksharing. We study the 4-hour reduction in the workweek implemented in France in 2000, from 39 to 35 hours. We rely on difference-in-difference and regression discontinuity designs, as well as administrative employment records and balance sheet data. We leverage the fact that firms smaller than 20 employees had to comply with the new working time later than larger firms. While the distribution of hours worked changed drastically following the reform, we find little evidence of worksharing, with some heterogeneity by types of firms and workers. The reduction of hours at the worker level translates into a reduction in total hours at the firm level, by 5%. Despite the policy requiring unchanged monthly earnings, we estimate a reduction in workers’ total wages of 2%. For more information about Alexandra Roulet and her interesting work - link to her website. Contact person: Kristoffer Balle Hvidberg " "SODAS Data Discussion #3 (Spring 2024)";"SODAS";"2024-04-19";"11:15";"2024-04-19";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Daniel Juhász Vigild and Yani Kartalis for our SODAS Data Discussion spring 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Two researchers will present their work. The rules are simple: Short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Daniel Juhász Vigild. Title: Technology and Policing. Abstract:In this data discussion, I share my idea for a paper on the effect of adopting of new technology within Danish Police (POL-INTEL), with a focus on psychiatric outpatients. I will also share recent bumps on the road regarding data access and collaboration with the police, which may spark a more general discussion of how we do social data science on large scale machine systems that have societal impact, but where access to data is limited. Discussion 2 Presenter: Yani Kartalis. Title: Impact of the Economy on Congruence Between Manifestos & Speeches. Abstract: Studies have demonstrated that party promises are becoming less important for post-electoral parliamentary behaviour, especially in situations of macro-level economic hardship and external conditionality. We aim to test what scholars have dubbed as ‘democracies without choice’ by focusing on the parliaments of five European countries; Germany, Greece, Ireland, Portugal and Spain. We use a pooled panel of data comparing manifestos with post-electoral parliamentary speeches from 1996 to 2019. By leveraging a multilingual fine-tuned instance of an XLM-RoBERTa-Large model we compare manifestos and speeches to produce similarity scores. We then theorize the possible effects on this similarity measure. Each country’s macroeconomic performance but also conditionality enforced by supranational actors in contexts of crisis are tested. Findings suggest that both predictors reduce the congruence between manifestos and speeches." "Lea Felicitas Tschan, University of St. Gallen";"Environmental Economics Group";"2024-04-17";"13:30";"2024-04-17";"14:30";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Green Investments and Top Income Inequality"". Seminar arranged by the Environmental Economics Group";"""Green Investments and Top Income Inequality"" Abstract This paper provides empirical evidence for a significant positive association between green investments and top income inequality from a panel of 87 countries from 2004 to 2020. This relationship is strongest for countries with initially lower levels of income, financial development, and carbon emissions. The positive effect of green investments on inequality persists for four years and thereafter abates. We argue that the association between green investments and inequality is at least partially driven by technological change. Using a moderated mediation design, we show that green innovation is mediating the relationship between green investments and top income inequality. Contact person: Frikk Nesje" "Matthias Rottner, Deutsche Bundesbank";"Macroeconomics seminar arranged by the Department of Economics";"2024-04-15";"14:15";"2024-04-15";"15:30";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"“Estimating Nonlinear Heterogeneous Agents Models with Neural Network”. Macroeconomics Seminar arranged by Department of Economics.";"“Estimating Nonlinear Heterogeneous Agents Models with Neural Network” Abstract We leverage recent advancements in machine learning to develop a method to solve and to perform likelihood estimation of the parameters of nonlinear, heterogeneous agents models. Neural networks are set up to obtain an accurate approximation of the model's nonlinear transition equations and likelihood function. The proposed method can retrieve the true parameter values of a prototypical model whose solution is worked out analytically. Furthermore, the parameters estimated with our method are consistent with those estimated using a state-of-the-art method, which can, however, only be applied to stylized nonlinear representative agent models. Using simulated data we show that the proposed method provides an accurate estimation of the parameters of a nonlinear Heterogeneous Agent New Keynesian (HANK) model with a zero lower bound (ZLB) constraint and aggregate uncertainty. When we estimate the HANK model using U.S. data, we find that the interplay between aggregate nonlinearities and uninsurable idiosyncratic risk plays a large role in explaining business cycles volatility. The estimation with real data provides a first evaluation of how nonlinear HANK models should be expanded to improve their empirical performance. For more information about Matthias Rottner and his interesting work - link to his website. Contact person: Søren Hove Ravn " "Workshop: International – Macro People of Copenhagen (I-MPC) 2024";"Department of Economics, Copenhagen University";"2024-04-12";"13:00";"2024-04-12";"17:00";"CSS, Øster Farimagsgade 5, Building 35, Faculty Lounge (room 35.3.20)";"Macroeconomics Workshop, arranged by Department of Economics and Center for Economic Behavior and Inequality (CEBI)";"Program: 13:30 - 14:30 - Presentation - TBA 14:30 - 14:45 - Coffee break 14:45 - 15:45 - Sarah Lein (Basel) , ""The Granular Origins of Inflation"" 15:45 - 16:00 - Coffee break 16:00 - 17:00 - Joseba Martinez (London Business School), ""Putty-Clay Automation"" Organizer and contact person: Jeppe Druedahl" "Tobias Broer, Paris School of Economics";"Macroeconomics seminar arranged by the Department of Economics";"2024-03-25";"14:15";"2024-03-25";"15:30";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"""Consumption insurance over the business cycle"". Macroeconomics Seminar arranged by Department of Economics";"""Consumption insurance over the business cycle"" Abstract In U.S. micro data, consumption smoothing is cyclical: consumption reacts more to idiosyncratic income changes in booms. This matters for average costs of business cycles and aggregate fluctuations in consumption demand. In standard models of self-insurance, where individuals borrow and save to smooth income fluctuations, consumption smoothing is strong when a temporarily low average wage level or low interest rates make current shocks less important for permanent income, and when high savings rates relax future borrowing constraints of low-wealth households. When studying these determinants in the general equilibrium of a standard business-cycle model with incomplete markets and idiosyncratic risk, procyclical wealth accumulation makes consumption smoothing substantially more effective in booms. To solve this ""countercyclical consumption smoothing puzzle"", we explore alternative market structures, income processes and misperception of idiosyncratic risk. Procyclical bias in the perceived persistence of idiosyncratic shocks can help solve the puzzle. Contact person: Jeppe Druedahl" "CPH DATA BEERS";"CPH DATA BEERS, DDSA, and SODAS";"2024-03-19";"20:00";"2024-03-19";"22:00";"Folkehuset Absalon (Sønder Blvd. 73,1720 Copenhagen V)";"Get ready for an epic night at the upcoming DataBeers x Absalon. We're bringing the worlds of data science and beer together, and it's going to be a blast!";"When: March 19 Time: 20:00 to 22:00 (you don't need to stay the whole time) Format: Layman (informal), 7min talk + 3min for questions, 5 speakers for the night Where: Folkehuset Absalon (Sønder Blvd. 73,1720 Copenhagen V). Event call: Calling all data and beer enthusiasts! Get ready for an epic night at the upcoming DataBeers x Absalon. We're bringing the worlds of data science and beer together, and it's going to be a blast! We've gathered awesome speakers to dive into a wide range of data stories; stay tuned for updates! The format is simple: five short 7-minute talks followed by a 3-minute Q&A. But here's the best part: We will provide free beer for everyone. So, it's the perfect opportunity to relax, mingle, and connect with our Copenhagen data-loving community. Big shoutout to our awesome sponsors: DDSA and KU (SODAS). At DataBeers, we believe the more, the merrier, so bring your friends and spread the word! About DataBeers Copenhagen: We are DataBeers Copenhagen, an international community that brings together people from research, non-profit, industry, and public institutions to share captivating ""data stories."" You can find more about us on twitter, mastodon, LinkedIn and our international community website." "The Science of the Predicted Human talk series: Professor Joanna Bryson";"Pioneer Center for Artificial Intelligence, DTU Compute and SODAS";"2024-03-19";"14:30";"2024-03-19";"16:00";"CSS Øster Farimagsgade 5 1353 København K, lokale 2.1.12 ";"";"TITLE: Public Goods Investment, Human Cooperation, and Political Polarisation – Does AI Play a Role?ABSTRACT: Cooperation is absolutely as natural as competition – there are no single-gene organisms. When then do we cooperate, and when compete? I will review evidence from both micro and political economics about contexts in which humans (and other organisms) switch between these strategies, then show models and supporting data that economic context much more so than social media use influences affective polarisation – attitudes towards outgroups. Nevertheless, social media is useful both for disseminating polarised positions to those affectively polarised, and for identifying and targeting individuals ripe for manipulation. If time permits I will briefly describe how the EU's recent digital legislation addresses the problems of the predicted human. BIOGRAPHY: Joanna J. Bryson is an academic recognised for broad expertise on intelligence, its nature, and its consequences. Holding two degrees each in psychology and AI (BA Chicago, MSc & MPhil Edinburgh, PhD MIT), Bryson is since 2020 the Professor of Ethics and Technology at Hertie School in Berlin, where she is a founding member of the Centre for Digital Governance. From 2002-2019 she was Computer Science faculty at the University of Bath; she has also been affiliated with Harvard Psychology, Oxford Anthropology, The Mannheim Centre for Social Science Research, The Konrad Lorenz Institute for Evolution and Cognition Research, and the Princeton Center for Information Technology Policy. Bryson advises governments, corporations, and NGOs globally, particularly on AI policy. Her research has appeared in venues ranging from reddit to Science. It presently focuses on the impacts of technology on human societies and cooperation, and improving governance of AI and digital technology." "Barbara Petrongolo, University of Oxford";"CoLab seminar arranged by the Department of Economics";"2024-03-19";"13:15";"2024-03-19";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"“Vacancy duration and wages"". CoLab Seminar arranged by Department of Economics.";"""Vacancy duration and wages"" Abstract We estimate the elasticity of vacancy duration with respect to posted wages, using data from the near-universe of online job adverts in the United Kingdom. Our re-search design identifies duration elasticities by leveraging firm-level wage policies that are plausibly exogenous to hiring difficulties on specific job vacancies, and control for job and market-level fixed-effects. Wage policies are defined based on external information on pay settlements, or on sharp, internally-defined, firm-level changes. In our preferred specifications, we estimate duration elasticities in the range −3 to −5, which are substantially larger than the few existing estimates. Jointly with Ihsaan Bassier and Alan Manning For more information about Barbara Petrongolo and her interesting work - link to her website. Contact person: Mette Rasmussen" "SODAS Lecture: Studying Climate Activism to Understand How We Can Save Ourselves";"SODAS";"2024-03-15";"11:00";"2024-03-15";"12:30";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"A lecture on how we can study social movements as they are happening to understand their likely trajectory and outcomes.";"Title: Studying Climate Activism to Understand How We Can Save Ourselves. Abstract: How can we study social movements as they are happening to understand their likely trajectory and outcomes? In this talk, I will present my ongoing research studying climate activism, which builds on data collected through open-ended semi-structured interviews, along with survey data collected from activists and civil society groups. I will present findings from analyses of these data and discuss how it informs us about the future of the climate movement and environmental democracy more broadly. Bio: Dana R. Fisher is the Director of the Center for Environment, Community, & Equity (CECE) and a Professor in the School of International Service at American University. She has published six books and over 75 peer-reviewed articles. Her seventh book, Saving Ourselves: From Climate Shocks to Climate Action is coming out in early 2024. Fisher is a Nonresident Senior Fellow with the Governance Studies program at The Brookings Institution, the President of the Eastern Sociological Society, and the chair-elect of the Political Sociology section of the American Sociological Association. She served as a Contributing Author for Working Group 3 of the Intergovernmental Panel on Climate Change's Sixth Assessment Review (IPCC AR6) writing about citizen engagement and civic activism. Her media appearances include ABC, CNN, MSNBC, PBS Newshour, and various programs on NPR, BBC, and CBC. Her words have appeared in the popular media, including in the Washington Post, Slate, TIME Magazine, Politico, the Nation, and the American Prospect. Fisher holds a Ph.D. and Master of Science degree from the Department of Sociology at the University of Wisconsin-Madison. Her undergraduate degree is in East Asian Studies and Environmental Studies from Princeton University. " "SODAS Data Discussion #2 (Spring 2024)";"SODAS";"2024-03-08";"11:15";"2024-03-08";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Mauro Martinelli and Sofie Læbo Astrupgaard for our SODAS Data Discussion spring 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Two researchers will present their work. The rules are simple: Short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Mauro Martinelli. Title: SOS – Searching Online for Support. How online searches can help assess and address mental health issues in Denmark. Abstract:Mental health represents an integral part of individuals’ ability to live a healthy and happy life. Unfortunately, the proportion of individuals experiencing mental health issues and disorders is increasing over time, with three quarters of these starting within the first 18 years of age. Despite the availability of effective, evidence-based treatments, more than a third of young individuals who meet the diagnostic criteria for a mental health illness never access professional help. One particularly challenging barrier are cultural prejudices against people with mental illness, that hinder affected individuals from seeking help for fear of stigmatization. To address this issue, large-scale public health interventions countering mental illness stigma may be effective but are limited by a lack of reliable data for targeted implementation. National registries are often unavailable and survey measures suffer from desirability bias due to perceived stigmatization. This project works toward addressing these data challenges through a combination of recent insights on the potential of online search behaviors as indicators of sanctioned phenomena and the unique Danish registry environment. The project has three primary objectives: i) provide a proof of concept for using online search data to estimate the prevalence of mental health issues at the community level in Denmark; ii) validate online search data by combining them with population-based registry data and iii) provide the foundational work to examine the mechanisms driving the disparity between mental health issues and access to mental health care. Discussion 2 Presenter: Sofie Læbo Astrupgaard. Title: The Outbreak of Working From Home In Denmark. Abstract: I present findings from a study on the adoption of Working from Home (WFH) in Denmark post-Covid-19. Analyzing nearly 2 million Danish job ads using a mixed-methods approach, I explored the beneficiaries and diverse framings of WFH across job domains. The data revealed a notable increase in WFH opportunities, particularly among digitally reliant white-collar workers, a trend that persisted after government restrictions were lifted. Through examining job ad content, two overall discourses surrounding WFH emerged: one emphasizing worker autonomy and well-being, and another focusing on more employer-centric aspects such as collegiality. I posit that WFH is evolving into a privilege for select groups within the Danish workforce, with the extent of its benefits varying based on how it is framed, reflecting a neoliberalization in the labor market." "Mikkel Sølvsten, Aarhus BSS";"ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"2024-03-07";"14:00";"2024-03-07";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Linear Regression with Weak Exogeneity"". ETMU (Econometric Theory and Methods Unit) seminar arranged by the Department of Economics";"""Linear Regression with Weak Exogeneity"" Abstract This paper studies linear time series regressions with many regressors. Weak exogeneity is the most used identifying assumption in time series. Weak exogeneity requires the structural error to have zero conditional expectation given the present and past regressor values, allowing errors to correlate with future regressor realizations. We show that weak exogeneity in time series regressions with many controls may produce substantial biases and even render the least squares (OLS) estimator inconsistent. The bias arises in settings with many regressors because the normalized OLS design matrix remains asymptotically random and correlates with the regression error when only weak (but not strict) exogeneity holds. This bias's magnitude increases with the number of regressors and their average autocorrelation. To address this issue, we propose an innovative approach to bias correction that yields a new estimator with improved properties relative to OLS. We establish consistency and conditional asymptotic Gaussianity of this new estimator and provide a method for inference. Contact person: Jesper Riis-Vestergaard Sørensen" "Kyle Herkenhoff, University of Minnesota";"Macroeconomics seminar arranged by the Department of Economics";"2024-03-04";"14:15";"2024-03-04";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Intergenerational Mobility and Credit"". Macroeconomics Seminar arranged by Department of Economics.";"""Intergenerational Mobility and Credit"" Abstract We combine the Decennial Census, credit reports, and administrative earnings to create the first panel dataset linking parent’s credit access to the labor market outcomes of children in the U.S. We find that a 10% increase in parent’s unused revolving credit during their children’s adolescence (13 to 18 years old) is associated with 0.28% to 0.37% greater labor earnings of their children during early adulthood (25 to 30 years old). Using these empirical elasticities, we estimate a dynastic, defaultable debt model to examine how the democratization of credit since the 1970s – modeled as both greater credit limits and more lenient bankruptcy – affected intergenerational mobility. Surprisingly, we find that the democratization of credit led to less intergenerational mobility and greater inequality. Two offsetting forces underlie this result: (1) greater credit limits raise mobility by facilitating borrowing and investment among low-income households; (2) however, more lenient bankruptcy policy lowers mobility since low-income households dissave, hit their constraints more often, and reduce investments in their children. Quantitatively, the democratization of credit is dominated by more lenient bankruptcy policy and so mobility declines between the 1970s and 2000s. Joint with J. Carter Braxton, Nisha Chikhale, and Gordon Phillips. Link to paper Contact person: John Vincent Kramer" "DISTRACT Talk with Jelle Bruineberg";"DISTRACT";"2024-03-01";"11:00";"2024-03-01";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"""Attending in the attention economy"" with Jelle Bruineberg, Center for Subjectivity Research, Department of Communication, Universtity of Copenhagen will ";"Title: Attending in the attention economy Abstract: The aim of this talk is to investigate the notion of attention that underpins contemporary debates about the attention economy: what is it about the omnipresence of digital technologies that seems to make it difficult to attend to what is relevant? Much of the contemporary literature assumes that digital technologies bombard us with an overload of sensory information, making it difficult to apply scarce attentional resources to the relevant information. I will articulate a number of shortcomings of this view: it is difficult to quantify both attention and information, and it fails to provide a convincing account of distraction. In the second half of the talk, I will then develop an alternative action-based account of attention in which the need for attention stems from the need to coherently organize activities. Using this action-based view, I will develop a more specific diagnosis about what it is about digital technologies that makes attending difficult: digital technologies change the layout of action possibilities in the environment, and thereby make it more difficult to coherently organize our activities. Bio:Jelle Bruineberg started as a tenure-track Assistant Professor in Cognition and Communication in July 2023. He studied physics, philosophy and cognitive science at the University of Amsterdam and received a PhD in 2018 for his dissertation on the philosophical implications of predictive processing. In 2020, he got awarded a Macquarie Research Fellowship to pursue a project on attention, and the way digital technologies mediate attention. He has been occupied with this question ever since, occasionally getting distracted by issues in embodied cognitive science, ecological psychology and the philosophy of predictive processing." "Bjørn Bo Sørensen defends his PhD thesis at the Department of Economics";"Department of Economics";"2024-02-16";"13:00";"2024-02-16";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Essays on Industrial Development in Africa and Asia";"Candidate: Bjørn Bo Sørensen, Department of Economics, University of Copenhagen Title: Essays on Industrial Development in Africa and Asia Supervisors: John Rand, Professor, Department of Economics, University of Copenhagen Henrik Hansen, Professor, Department of Economics, University of Copenhagen Assessment Committee: Finn Tarp, Professor, Department of Economics, University of Copenhagen Carol Newman, Professor, Department of Economics, Trinity College Dublin Måns Söderbom, Professor, Department of Economics, University of Gothenburg Summary: This Ph.D. dissertation consists of three self-contained chapters analysing different aspects of industrial development and structural transformation in Africa and Asia. In the first chapter (co-authored with Henrik Hansen, John Rand, and Helge Zille), we study the ownership of “pioneer firms” that establish industries in regions where they did not previously exist. Using the Vietnamese Enterprise Survey (2001-2017), which allows us to track close to one million formal firms over time, we explore whether Vietnam’s remarkable industrial diversification during the past two decades was driven by state-owned, multinational, or domestic and privately owned enterprises (SOEs, MNEs, or PDEs). We document significantly higher pioneering frequencies in SOEs and MNEs compared to PDEs, also after controlling for a broad spectrum of observable characteristics. Second, we show that MNEs tend to pioneer in complex industries in Vietnam’s economic centres, while SOEs pioneer in unsophisticated industries in regions with less economic activity. Finally, we investigate the dynamic employment effects in industries pioneered by different firms. We find that MNE-pioneered industries generate significantly more jobs, which is primarily driven by employment in pioneering MNEs and other MNEs following the pioneer in subsequent years. In contrast, SOEs create no additional employment in the industries they pioneer compared to industries pioneered by PDEs. In the second chapter, I study how granular climate hazards affect local production, and what role spillovers and general equilibrium adjustments play in shaping local resilience. I combine high-resolution satellite imagery of floods with geo-coded panel data on Chinese manufacturing firms between 2000 and 2007 to investigate these questions in an event study analysis. I first show that 1-in-50-years floods cause large and persistent declines in aggregate manufacturing output in affected counties. I then analyse the role of direct and indirect flood exposure in shaping the aggregate outcome. Within flooded counties, firms that are actually flooded experience large declines in output compared to nearby firms. Yet, nearby firms in flooded counties simultaneously perform worse than similar firms in non-flooded counties. The results point to the existence of local spillovers and equilibrium adjustments. I show that floods lower the cost of labour and that firms in tradable and labour-intensive industries expand, whereas other firms contract. The results are consistent with a simple model of local spillovers ala Moretti (2010), and they suggest that a common factor affecting both flooded and nearby firms may be a fall in local demand. The third and final chapter consists of two self-contained articles (co-authored with Christian Estmann, Benno Ndulu, Enilde Sarmento, and John Rand) introducing a methodological framework for identifying attractive product sectors that can be targeted by industrial policy aiming to (i) promote economic upgrading and diversification and (ii) increase export revenue. In a supply-side analysis, we first use the economic complexity methodology to identify product sectors that are important for structural transformation. In a demand-side analysis, we then use gravity models to rank the trade potential of these target products across different markets. The first article applies the framework to guide industrial policy in Mozambique—one of the world’s least complex economies. We identify unexploited opportunities in machinery, vehicles, and transport equipment. The second article applies the framework to the case of Tanzania, where we find a high potential in complex sectors such as machinery and chemicals. We further extend the framework to consider sectors’ capacity to absorb labour, and find that less complex sectors such as agro-processing, metal, and wood, have a higher potential to create employment. An electronic copy of the thesis can be requested here: lema@econ.ku.dk " "SODAS Data Discussion #1 (Spring 2024)";"SODAS";"2024-02-09";"11:15";"2024-02-09";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Rosa Lavelle-Hill and Kristin Eggeling for our SODAS Data Discussion spring 2024 series.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Two researchers will present their work. The rules are simple: Short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Rosa Lavelle-Hill. Title: Understanding Heterogeneity in AI Performance. Abstract: Algorithms are increasingly part of our daily lives, with their predictions mattering more and more [1]. On the one hand, algorithms can be used for social good, e.g., by providing early warning systems for diseases [2]. On the other hand, algorithms can be used to prompt people to spend money for goods that they initially might neither want, need, nor have money for, e.g., by using personalized persuasion [3]. Therefore, depending on the context, being highly (un)predictable as a person can be considered either advantageous or disadvantageous. Predictability has thus far largely been studied from statistical-computational perspectives (e.g., complex systems theory [5], information theory [4], learning theory [6]). In this data discussion, I argue that when human behavior is the outcome, there is also a need to study predictability from a psychological perspective. For instance, individuals with certain personality characteristics might show highly sporadic (and thus unpredictable) or, vice versa, compulsively repetitive (and thus predictable) behavior. To facilitate ethical, fair, and unbiased prediction outcomes for all people, it is essential to understand which characteristics relate to predictability and the social consequences of this. I will present future project plans (supported by the Carlsberg Foundation and the University of Basel) on understanding heterogeneity in AI performance from a psychological and ethical perspective. Discussion 2 Presenter: Kristin Eggeling. Title: Ethnographic Insights Into the Digitalisation of Diplomacy. Abstract: Screens are everywhere in the modern world, including in international politics. In this article, I consider how diplomacy, a profession traditionally premised on face-to-face interactions, is adjusting to life with and on the screen. For this, I present ethnographic material from five years (2018-2023) of research in and with the diplomatic scene in Brussels. I approach this material through the work of Sherry Turkle and apply her ideas about ‘evocative objects’ to the presence of screens in diplomacy. In contrast to existing scholarship that asks in a more abstract ways about how digital technologies change diplomacy, I ask more concisely about what kind of associations screens (e.g., smartphones) evoke among diplomatic professionals. Based on this, I draw out how screens confirm or confront established professional procedures, and theorise the screen as an expressive tool that both catches and shapes the rules and frictions of the diplomatic field. Overall, the article contributes detailed empirical insights into an otherwise largely closed-off world, and nurtures a new theoretical language about one of the key objects that drives the digitalisation of international politics. " "Marie Gram Pietraszek defends her PhD thesis at the Department of Economics";"Department of Economics";"2024-02-07";"14:00";"2024-02-07";"16:00";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"The title of the thesis is: Empirical Essays on Labor Economics: Coworker Networks, Application Success, and Graduate Trajectories";"Candidate: Marie Gram Pietraszek, Department of Economics, University of Copenhagen Title: Empirical Essays on Labor Economics: Coworker Networks, Application Success, and Graduate Trajectories Supervisor: Nikolaj Arpe Harmon, Associate Professor, Department of Economics, University of Copenhagen Assessment Committee: Morten Bennedsen, Professor, Department of Economics, University of Copenhagen Giovanni Mellace, Professor, Department of Economics, University of Southern Denmark Oskar Nordström Skans, Professor, Department of Economics, Uppsala University Summary: The labor market is a cornerstone of any economy, playing a pivotal role in shaping the well-being of individuals and the economy. Unemployment, a key facet of the labor market, carries significant implications. High levels of unemployment not only result in financial hardship for individuals but also contribute to social challenges, including increased inequality and diminished quality of life. Understanding the complexities of the labor market is instrumental for policymakers aiming to design interventions that alleviate unemployment and enhance job search strategies. This PhD dissertation consists of three self-contained chapters that study empirical aspects of the labor market and job search. The first chapter (co-authored with Nikolaj Harmon and Jonas Maibom) examines the mechanisms behind the effect of coworker networks on job search outcomes. We combine linked Danish administrative data on job applications made by the universe of UI recipients with a theoretical job search framework. We employ a quasi-experimental identification strategy that generates variation in coworker networks from the timing of past job transitions to identify the effect of social connections. This enables us to quantify the relative importance of the different mechanisms driving the effect of coworker connections on job search outcomes. We find that the effect of having a coworker connection at a firm increases the likelihood of an application resulting in a hire at the given firm by 133 percent for Danish UI recipients. One-tenth of this overall effect arises because social connections increase the likelihood that an application results. The remainder of the effect stems from changes in application behavior because it is more attractive for the UI recipient to apply to a connected firm. In contrast, we find that direct information effects - in the sense of being more likely to notice a given employment opportunity - appear unimportant in our setting. The second chapter employs machine learning models to predict job application success probabilities. I combine novel data on job applications with standard administrative data sources to predict application success. I find that the histogram gradient-based boosting model exhibits better calibration and lower mean squared error in out-of-sample testing. I present descriptive statistics on the predictions, revealing an average success probability of 0.98 percent, with the variation in success probabilities driven largely by differences between UI recipients and to a lesser extent variation within the UI recipient. I present a descriptive analysis of the changing success probabilities throughout the first year of the UI spell, showcasing the practical applicability of the predicted success probabilities for research. The average success probability declines over time, which is attributed to the effect of UI duration, dynamic selection, and changes in application behavior. I present evidence suggesting that approximately two-thirds of the decline is linked to the effect of UI duration, while the remaining third stems from dynamic selection. UI recipients adjust such that they apply for jobs with a slightly smaller success probability over time. Lastly, I repeat the analysis split by gender. The conclusion is consistent, but I conclude that the effect of duration is more pronounced for men. The third chapter (co-authored with Lykke Sterll Christensen) investigates the causal effect of fluctuations in the labor market on employment and social outcomes of graduates. We combine Danish registry data and unemployment data for the period 2007-2019. We construct a monthly and occupation-specific measure of labor market conditions, which we employ as shifters in a shift-share design. We determine exposure to the shifters from a previous cohort. We find that people graduating under worse labor market conditions are more unemployed, and those in employment earn less and work less. Additionally, we find that worse labor market conditions during graduation increase singlehood and have a lasting negative impact on fertility. We repeat the analysis for men and women separately and find that the effect of fertility is largely driven by women. To investigate the drivers behind the decline, we examine responses for both graduates in a couple and in employment and find a reduction in fertility for both groups. Lastly, we find women graduating at an unfortunate time tend to work more in the private sector. An electronic copy of the thesis can be requested here: lema@econ.ku.dk " "Giovanni Mellace, University of Southern Denmark";"CoLab seminar arranged by the Department of Economics";"2024-02-07";"10:30";"2024-02-07";"12;00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Limited Monotonicity and the Combined Compliers LATE"". CoLab Seminar arranged by Department of Economics.";"""Limited Monotonicity and the Combined Compliers LATE"" Abstract We consider identification of a local average treatment effect given an endogenous binary treatment and two or more valid binary instruments. We propose a novel limited monotonicity assumption that is generally weaker than alternative monotonicity assumptions, and that allows for a great deal of choice heterogeneity. Using this limited monotonicity, we define and identify the combined compliers local average treatment effect (CC-LATE), which is arguably a more policy-relevant parameter than the weighted average of LATEs identified by two-stage least squares. We apply our results to estimate the effect of learning of one’s HIV status on protective behaviors. Co-authors: Nadja van’t Hoff and Arthur Lewbel For more information about Giovanni Mellace and his interesting work - link to his website. Contact person: Nikolaj Arpe Harmon" "Oskar Skans, Uppsala University";"CoLab seminar arranged by the Department of Economics";"2024-02-06";"13:15";"2024-02-06";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Beyond the Boundaries: Firm-to-Firm Connections in a Frictional Labor Market"". CoLab Seminar arranged by Department of Economics.";"“Beyond the Boundaries: Firm-to-Firm Connections in a Frictional Labor Market"" Abstract We explore how firm-to-firm connections can mitigate the consequences of labor market frictions by allowing firms to tap into a broader pool of workers. Using comprehensive data from all Swedish firms, each having a board of directors, we identify connections based on shared directorships or family ties between directors in different firms. Our findings show that a majority of firms have such connections. Notably, worker mobility significantly increases between connected firms after these links are established. This mobility appears to benefit both the origin and destination firms. Mobility across connected firms helps mitigate production losses and allocative inefficiencies that otherwise arise when workers are absent for exogenous reasons. Co-authors: Mikael Carlsson, Francis Kramarz and Andrei Gorshkov For more information about Oskar Nordström Skans and his interesting work - link to his website. Contact person: Nikolaj Arpe Harmon" "Frikk Nesje, Department of Economics";"Environmental Economics Group";"2024-02-01";"12:00";"2024-02-01";"13:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""A Modular Theory of Intergenerational Justice: Discounting and Inequality"". Environmental Economics seminar arranged by the Department of Economics.";"""A Modular Theory of Intergenerational Justice: Discounting and Inequality"" Abstract We study theories of intergenerational justice that disentangle normative views on discounting and inequality. Any modular social welfare function is uniquely identified by a time-discounting function---capturing attitudes across generations---and an aggregator function---capturing attitudes towards inequality between generations. The rich choice of such functions allows our theory to include standard approaches as special cases and unveils yet unexplored families of alternative criteria. Our axiomatic characterization clarifies the properties and limits of disentangling discounting and inequality. Contact person: Peter Birch Sørensen" "Morgane Richard, University College London (Job Market Seminar)";"Department of Economics";"2024-01-23";"10:30";"2024-01-23";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"“The Spatial and Distributive Implications of Working-from-Home: A General Equilibrium Model” Abstract I study the impact of the recent rise in remote work on households’ consumption, wealth and housing decisions, examining both short-run and long-run effects. Using detailed UK property-level housing data and a heterogeneous agent model with endogenous housing tenure and city geography, I show that remote work shifts housing demand by increasing the taste for space and reducing commuting costs. It affects where people live in the city and their housing wealth accumulation. The effects vary by access to remote work, income, and wealth. The rise in work-from-home can be compared to a city-wide gentrification shock as wealthy telecommuters opt for larger suburban homes, displacing marginal owners who turn to renting. In the long-run, work-from-home leads to the rise of a tele-premium and consumption inequality increases. Contact person: Jeppe Druedahl" "Marta Cota, CERGE-EI (Job Market Seminar)";"Department of Economics";"2024-01-22";"13:00";"2024-01-22";"14:15";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"“Financial Skills and Search in the Mortgage Market” Abstract Are households with low financial skills disadvantaged in the mortgage market? Using stochastic record linking, we construct a unique U.S. dataset that encompasses a rich set of mortgage details and borrowers characteristics, including their objective financial literacy measure. We find that households with low financial skills search less, lock in at 15-20 b.p. higher rates, face a 12-16% higher mortgage delinquency, and end up with a 30% lower likelihood of refinancing. Overall, for a $100,000 loan, the potential losses from low financial literacy are more than $10,000 over the mortgage duration. To understand how financial education, more accessible mortgages, or mortgage rate changes affect households with low financial literacy, we formulate and calibrate a mortgage market model with search frictions and endogenous financial skills. Our model estimates show that search intensity and financial skill variations contribute to 55% and 10% of mortgage rate variations, respectively. We find that i) more accessible mortgages lower the search cost and lead to a higher delinquency risk among low-skilled households, ii) financial education mitigates the adverse effects of increased accessibility, and iii) low mortgage rates favor high-skilled homeowners and, by reinforcing refinancing activity, deepen consumption differences across different financial skill levels. Contact person: Jeppe Druedahl " "Leon Huetsch, University of Pennsylvania (Job Market Seminar)";"Department of Economics";"2024-01-18";"10:30";"2024-01-18";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"“Technological Change and Unions: An Intergenerational Conflict with Aggregate Impact” Abstract Technological progress in the form of automation boosts productivity, but can cause adverse labor market outcomes for transitional generations. I study the role of unions, and labor adjustment frictions more broadly, in shaping the evolution of wages and employment of workers exposed to labor replacement during the automation transition. Using variation across local labor markets in the U.S. since 1980, I first document that unionization gives rise to intergenerational redistribution by shifting the incidence of wage and employment decline from older, incumbent to young, incoming cohorts. Moreover, unions accelerate the overall employment decline in automating occupations, thereby inducing faster labor reallocation. I develop a quantitative equilibrium model of technological change and unionization that jointly rationalizes the two empirical observations through the impact of union-imposed firing costs on firms’ intertemporal choice how to optimally adjust their workforce over time when gradually adopting automation. Within automating occupations, unions reduce the welfare cost of automation of older workers along the transition by up to 4% of permanent consumption by lowering their layoff risk and wage decline. The impact is shifted to young workers, raising the welfare costs of cohorts entering during the transition by up to 2%. Incoming workers endogenously respond to automation by entering non-adopting occupations which limits the welfare impact on them. The impact of high unionization spills over into non-adopting occupations as the accelerated reallocation of labor depresses wages there. Contact person: Morten Graugaard Olsen" "Ofer Setty, Tel Aviv University (Department Seminar)";"Department of Economics";"2024-01-17";"10:30";"2024-01-17";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Department Seminar arranged by the Department of Economics";"“Universal Basic Income: Inspecting the Mechanisms” Abstract We examine the mechanisms driving the aggregate and distributional impacts of Universal Basic Income (UBI) through model analysis of various UBI programs and financing schemes. The main adverse effect is the distortionary tax increase to fund UBI, reducing labor force participation. Secondary channels are a decline in demand for self-insurance, depressing aggregate capital, and a positive income effect that further deters labor force participation. Due to these channels, introducing UBI alongside existing social programs reduces output and average welfare. Partially substituting existing programs with UBI mitigates the adverse effects, increases average welfare, but does not deliver a Pareto improvement. Contact person: Morten Graugaard Olsen " "Claudia Gentile, University of Zurich (Job Market Seminar)";"Department of Economics";"2024-01-15";"13:00";"2024-01-15";"14:15";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"“Relying on Intermittency: Clean Energy, Storage, and Innovation in a Macro Climate Model” Abstract The transition to clean energy technologies is essential to reduce CO2 emissions. One significant challenge associated with renewable energy sources, such as solar and wind, is their intermittency. I study the intermittency problem by introducing a novel micro-founded energy sector with directed technical change in a macro climate model. I show that the aggregate elasticity of substitution between clean and dirty energy crucially depends on the development of storage technologies. If the storage technology is not developed, the economy is trapped in a scenario in which the elasticity of substitution eventually becomes zero. Without policies, the provision of storage technologies is inefficiently low, impeding the transition towards clean, intermittent technologies. In the optimal allocation, the clean energy transition is accelerated with an initial clean energy share increasing from 25% to 70% and a reallocation of all R&D resources away from dirty energy towards clean energy and, in particular, energy storage technologies. The introduction of clean energy subsidies under the US Inflation Reduction Act is successful in increasing the short-run clean energy share, but insufficient to solve the intermittency problem. Contact person: Morten Graugaard Olsen " "Ruslana Datsenko, University of Oslo (Job Market Seminar)";"Department of Economics";"2024-01-12";"10:30";"2024-01-12";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"""Monetary Policy Transmission and Firm-Level Volatility: Uncertainty Versus Risks"" Abstract I study the role of firm-level volatility and default risk in the transmission of monetary policy to investments in fixed assets. Empirically, I find that firms facing lower volatility are more responsive to monetary policy than firms facing higher volatility. I demonstrate that this finding is due to two channels through which volatility determines monetary policy transmission. First, volatility increases default risk, increasing borrowed funds' price. Second, volatility increases firms' hesitancy to invest (real options channel). Contrasting with the earlier literature, I show that the real options channel rather than the default risk channel matters for monetary policy transmission. Moreover, I find that the channel through which the monetary policy transmission takes place - real options or risk premium - determines whether the monetary policy increases or decreases aggregate capital relative to a model without heterogeneity, adjustment costs, and financial frictions. Contact person: Jeppe Druedahl" "Jeppe Elholm Madsen defends his PhD thesis at the Department of Economics";"Department of Economics";"2024-01-11";"14:00";"2024-01-11";"16:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Trade-offs in Social Insurance: Balancing Insurance and Work Incentives for Health ImpairedIndividuals";"Candidate: Jeppe Elholm Madsen, Department of Economics, University of Copenhagen Title: Trade-offs in Social Insurance: Balancing Insurance and Work Incentives for Health Impaired Individuals Supervisor: Søren Leth-Petersen, Professor, Department of Economics, University of Copenhagen Assessment Committee: Mette Ejrnæs, Professor, Department of Economics, University of Copenhagen Rune Vejlin, Professor, Department of Economics, Aarhus University Stefan Staubli, Associate Professor, Department of Economics, University of Calgary Summary: Chapter 1 (w. Anders Holm): The rapid expansion of disability insurance (DI) programs in Western countries raises questions about the genuine inability of program participants to work and the labour market barriers they face. This paper examines the effects of a Danish labour market reform that replaced the Danish DI program with a combination of DI and a ""workfare program"" (WP) with tailored assistance for individuals facing employment barriers. After the reform, $80$ percent of the DI program inflow was directed into the WP for people under the age of 40. The transition into employment is positively affected by the reform, with employment primarily being within subsidized employment. Additionally, we find that the positive effect into subsidized employment comes at the cost of a $15$ percent lower income in the long run. We contribute previous research focusing on individuals at the margin of enrolling into DI because our data allows us to focus on average enrollment. Doing so, we find only small positive effects on employment and negative effects on income. Chapter 2: The second paper investigates the effects of a 2014 policy reform on paid sick leave in Denmark. The reform reduced benefits by up to 40 %, shortened sick leave eligibility, and introduced a return-to-work activation program. Despite an increase in municipal costs for activation efforts targeting sick leave recipients having doubled, there was no significant improvement in employment rates. The study finds that a typical program recipient has no wealth and is burdened with a debt equivalent to 10 months' worth of banking debt. Given the absence of savings and significant debt, the reduction in benefits, coupled with no improvement in employment opportunities, results in a direct reduction in consumption possibilities for those participating in the program. Chapter 3: This paper delves into the welfare implications of alterations in the paid sick leave program. Leveraging detailed Danish administrative data, I introduce a structural search model, rooted in traditional search and discrete choice models. The model captures the interplay between an individual's health status, age, job offers, education, and their decision to either return to work or prolong their sick leave. The model facilitates simulations to understand the consequences of enforcing stricter eligibility criteria for paid sick leave extensions. The findings indicate that although enforcing stricter criteria can result in fiscal savings, it is crucial to recognize that these savings are predominantly borne by those with the poorest health, as they face the most significant reductions in transfer payments. An electronic copy of the thesis can be requested here: lema@econ.ku.dk" "Marlon Azinovic, University of Pennsylvania (Job Market Seminar)";"Department of Economics";"2024-01-11";"10:30";"2024-01-11";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"“Intergenerational Consequences of Rare Disasters” Abstract We analyze the intergenerational consequences of rare disasters in a calibrated overlapping generations model featuring realistic household portfolios and equilibrium asset prices. Households own houses and additionally trade in bonds and equity. In a disaster, young households suffer from reduced labor income and tightened borrowing constraints. Older households lose a large portion of their savings invested in risky assets. The relative winners are households shortly before retirement, who have a comparatively stable labor income, are not borrowing constrained, and are young enough to benefit from large returns of assets purchased during the disaster at depressed prices. In order to solve the model, we advance contemporary deep learning based solution methods along two complementary dimensions. First, we introduce an economics-inspired neural network architecture that, by construction, ensures that market clearing conditions are always satisfied. Second, we illustrate how to solve models with multiple assets by introducing them step-wise into the economy. These two innovations enable us to reduce the number of equilibrium conditions, that are not fulfilled exactly, and to substantially improve the stability of the training algorithm. Contact person: Jeppe Druedahl " "Christian Pröbsting, KU Leuven (Department Seminar)";"Department of Economics";"2024-01-10";"10:30";"2024-01-10";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Department Seminar arranged by the Department of Economics";"“The Aggregate and Distributional Effects of a Carbon Tax” Abstract Which firms and households will be most impacted by a carbon tax? To answer that question I set up a heterogenous agent, multi-sector model with putty-clay technology. A tax of $100 per ton of carbon emissions cuts emissions by 25% after 5 years, but it also reduces output by 2% in the short run and 5% in the long run. In the short term, the tax is progressive despite poorer households spending more on carbon-intensive goods, the prices of which are rising. The putty-clay model’s inherent complementarity of capital and energy causes a sharp decline in capital income, a major source of income for top earners, and the resulting decline in investment causes job cuts in the capital goods-producing industries that employ high-income earners. In the longer run, as factor prices and capital stocks adjust, the tax incidence flattens with middle class households loosing 2% of their real income, somewhat less than low-income and high-income households. Contact person: Jeppe Druedahl" "Philipp Grübener, Goethe University Frankfurt (Job Market Seminar)";"Department of Economics";"2024-01-09";"10:30";"2024-01-09";"11:45";"University of Copenhagen, Building 26, room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Job Market Seminar arranged by the Department of Economics";"“Firm Dynamics and Earnings Risk” Abstract We study the role of firm and worker level shocks for individual labor earnings dynamics. A key feature of the distribution of earnings changes is excess kurtosis, with substantial earnings changes for a significant proportion of workers. Using Danish matched employer-employee data, we show that large worker earnings changes occur along the entire firm revenue growth distribution but more frequently in the tails. In particular, large earnings losses are more likely in shrinking firms due to more employment separations, but also because of large wage losses of stayers. We interpret the evidence through the lens of an equilibrium search model with two-sided heterogeneity. The model reveals that while worker shocks account for the majority of earnings fluctuations, firm shocks generate around a third of endogenous separations and large wage losses for stayers. Finally, the model implies significant endogenous responses of earnings dynamics to policy changes aiming to insure workers directly or indirectly through firms. Contact person: Morten Graugaard Olsen" "Pernille Plato defends her PhD thesis at the Department of Economics";"Department of Economics";"2023-12-21";"09:00";"2023-12-21";"11:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Empirical Essays on Labor Market Disruptions: Automation, Worker Health, and Human Capital Responses";"Candidate: Pernille Plato, Department of Economics, University of Copenhagen Title: Empirical Essays on Labor Market Disruptions: Automation, Worker Health, and Human Capital Responses Supervisor: Jakob Roland Munch, Professor, Department of Economics, University of Copenhagen Assessment Committee: Morten G. Olsen, Associate Professor, Department of Economics, University of Copenhagen Frederic Warzynski, Professor, Department of Economics, Aarhus University Juanna Joensen, Associate Professor, Department of Economics, University of Chicago Summary: This Ph.D. dissertation consists of three self-contained chapters. The three chapters study different research questions and apply different methods in doing so, but they share a common focus on how firms and workers navigate through economic transformations. This Ph.D. dissertation was completed as part of the 4+4 Ph.D. program at the Department of Economics, University of Copenhagen. Please note that Chapter 1 builds on and repeats text from the master’s thesis completed as a part of the program. In the first chapter, I study how automation affect firm market power. My findings show that automated firms are larger, more productive, and charge higher markups compared to non-automated firms. I show that this wedge in markups has consistently increased over the past decades. By matching each automating firm to a non-automating firm in the same industry with similar size and growth patterns before the adoption decision, I show that firm markups steadily increase in the years following the first adoption of automation capital. Additionally, I find that automated firms gain market shares from similar non-automated firms within the same industries and demonstrate greater resilience, being less likely to exit the market compared to non-automated competitors. Taken together, these findings suggest that firms with already high markups invest in automation technology to further improve their competitiveness and increase markups. I perform a decomposition of the aggregate markup that underscore the close link between changes in the aggregate markup and automation. The observed initial decline in the aggregate markup primarily stems from non-automated firms, while entry and reallocation f economic activity towards automated firms, that simultaneously are larger, charge higher markups, and charge higher markups as they expand, have pushed the aggregate markup upwards. In the second chapter, we examine how automation decisions by firms affect the health of workers. To do so, we focus on a cohort of manufacturing workers with a strong attachment to the labor market, and their initial employer in particular, before the arrival of industrial robots in the manufacturing sector. We follow these workers’ health records over the next decades, regardless of transitions into unemployment, changing of employers, occupation, industry, etc. At the same time, we are able to track the robot investments of the initial employer through imports of industrial robots in the foreign trade statistics. We find that industrial robots reduce workplace injuries, especially for individuals working in physical occupations prior to the surge of industrial robots in the Danish manufacturing sector. In contrast to the improvements in workplace safety, we find that robots result in more hospitalizations due to stress, depression, and burnout among employees. Opposite to the improvements in workplace safety, many types of employees suffer the distress from robots throughout the organization. In the third and final chapter, we study investments in human capital after loss of physical ability. To do so, we utilize that workplace injuries occur quasi-randomly within occupations. Our first finding is that injured workers enroll in full-time higher education programs after the injury, while short, non-degree training courses as well as basic and vocational degree programs see almost no uptake by injured workers. Exploiting differences in eligibility driven by prior vocational training, we find that higher education moves injured workers from disability benefits to fulltime employment. We find that reskilled workers end up in higher paying, cognitively intensive occupations, and that reskilling shields injured workers from depression. Combining the effects of reskilling on earnings, taxes, and transfers in a cost-benefit framework, we find that reskilling subsidies for injured workers pay for themselves four times over. In the final part of the paper, we evaluate the counterfactual effects of reskilling more injured workers. We find that injured workers reskill based on their idiosyncratic returns, such that expanding the program implies rolling it out to workers with lower returns to reskilling. We use the marginal treatment effects to determine the optimal rates of reskilling for injured workers and find that the current rates are especially sub-optimal for middle-aged workers between. An electronic copy of the thesis can be requested here: lema@econ.ku.dk" "SODAS Lecture: The Legacies of the Dead: Using Gravestones to Study the Causes and Consequences of Religiosity";"SODAS";"2023-12-15";"11:00";"";"12:30";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"A lecture on how to use information extracted from the gravestone pictures of deceased U.S. citizens to derive ecologically valid insights into religiosity.";"Title: The Legacies of the Dead: Using Gravestones to Study the Causes and Consequences of Religiosity. Abstract About 84% of the world's population are affiliated with a religious tradition, and in the U.S., approximately 70% of the population report that religion is at least somewhat relevant to them. It is, thus, important to understand how being religious affects people and why people become religious. In this talk, I use information extracted from the gravestone pictures of deceased U.S. citizens to derive ecologically valid insights into religiosity. First, focusing on the consequences of religiosity, I will present a series of studies showcasing how gravestone data can be used to study the link between religiosity and mortality. Using manual coding (N = 6,400) and machine learning (N > 5 Mio.), we find (a) that gravestones provide valid religiosity information and (b) that religious people enjoy longer lives, but only if they reside in religious areas. Evidently then, a longer life is not an inherent consequence of being religious. Second, focusing on the causes of religiosity, I present findings on the effects of war on religiosity. Specifically, we linked our large-scale gravestone data to a famous natural experiment: the Vietnam Draft Lottery (a random-assignment mechanism that drafted male U.S. residents into Vietnam). We find that being randomly drafted into the Vietnam War substantially increases the probability of displaying religious gravestone imagery. As such, our results suggests that war experiences make people more religious. In concert, our research speaks to fundamental questions about the nature of religiosity and showcases the potential of studying the legacies of the dead. Bio Tobias Ebert is Assistant Professor of Behavioral Science at the Institute of Behavioral Science & Technology at the University of St. Gallen (Switzerland). He received his PhD from the University of Mannheim (Germany) in 2020 and has been working as a postdoc at the University of Mannheim and at Columbia University in New York (USA). In his research, Tobias uses large-scale psychological data to study spatial variation in psychological attributes and the relevance of this variation for individuals and society." "Andreas Kostøl, Arizona State University";"CoLab seminar arranged by the Department of Economics";"2023-12-12";"13:15";"2023-12-12";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Employee Turnover and Selection on Layoff Costs"". CoLab seminar arranged by Department of Economics.";"""Employee Turnover and Selection on Layoff Costs"" Abstract While layoff causes long-lasting earnings losses, workers sometimes leave their employer in anticipation of it. In this paper, we examine how this selection affects layoff costs using the random assignment of bankruptcy judges as an instrument for layoff risk. We find that employer shutdown reduces five-year earnings by 24% while one-quarter of employees avoid layoff. Furthermore, turnover triples and wage losses fall by 56% when moving from weak to strong labor markets. Using a job ladder framework, we show that this turnover biases micro-level estimates of layoff costs by 15% and overstates the value of employers and public insurance. Joint work with Morten H. Grindaker and Matthew C. Merkle. Link to most recent version Contact person: Jakob Egholt Søgaard " "Sarah Schroeder, Aarhus University";"Macroeconomics seminar arranged by the Department of Economics";"2023-12-04";"14:15";"2023-12-04";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Mobility Frictions, Remittances and the Distributional Effects of International Trade"". Macroeconomics Seminar arranged by Department of Economics.";"""Mobility Frictions, Remittances and the Distributional Effects of International Trade"" Abstract In this paper, we study the role of households’ heterogeneous migration decisions and the associated remittances in distributing the benefits of growing trade across space. Relative to ’complete migration’, partial migration implies that part of the household remains in the rural area, while at least one household member migrates to an urban area, usually for better employment opportunities. Here, remittances capture domestic, inter-regional transfers between urban and rural members of the household. We use Chinese household and trade data to establish novel empirical facts that connect trade, migration, and remittances. We quantify the role of diverse modes of migration and remittances by explicitly incorporating these channels in a spatial general equilibrium model of trade and migration. Our quantitative model delivers novel insights about the distributional implications of international trade in the presence of mobility frictions and heterogeneous forms of domestic migration. We further investigate the interplay between trade and migration policy in shaping aggregate welfare.” Co-authored with Ray Zhang from Sun Yat-Sen University. Contact person: Morten Graugaard Olsen" "SODAS Data Discussion 1 December 2023";"SODAS";"2023-12-01";"11:15";"";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS is delighted to host Fabian Beer and Elisabetta Salvai for our Data Discussion series.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Discussion 1 Presenter: Fabian Beer. Title: Explainability in the Field: How the »Black Box Problem« of AI is practically dealt with by a Predictive Policing Unit in Germany. Abstract: The last few years have seen the rise of a research field by the name of Explainable AI (XAI). At the core of XAI lies the attempt to solve the so-called »Black Box problem«, a term that refers to the difficulty of providing an explanation for how exactly a machine learning (ML) model has arrived at an output. This problem, grounded in the opacity of the decision-making logic of some ML models, is said to be particularly acute in domains of “high-risk decision-making” such as military, finance, medicine or jurisdiction. In my presentation I will explore how the »Black Box problem« appears and is dealt with by the users themselves in one of these practical contexts: Predictive Policing. I will focus on a specific instance where a predictive policing unit in Germany, responsible for managing a random forest model that predicts burglaries in specific areas of the city, answered a request for an explanation of the model’s predictions by a local police department. Discussion 2 Presenter: Elisabetta Salvai. Title: Fair ranking by Biased random walk. Abstract: Ranking algorithms play a significant role in ordering information in networks and identifying important and influential nodes. In this study, we investigate the fairness of the widely used PageRank algorithm in networks of nodes with binary attributes. We propose a new fairness definition rooted in demographic parity in the top-ranked positions, where the observer’s attention is predominantly concentrated. This definition is based on the idea that a fair ranking has the same proportion of attributes in the top-ranked positions as in the whole network. To improve the fairness of rankings, we then study a modification of the PageRank algorithm where we add a parameter that biases the random walk exploration at the core of the algorithm. This parameter changes the choice probability of the random walkers based on the degree of the neighbouring nodes. We study this biased PageRank algorithm, in both synthetic and real-word networks, for different values of the bias parameter. Our aim is to determine the effect of this targeted bias in enhancing ranking fairness." "Anne Brenøe, University of Zurich";"CoLab seminar arranged by the Department of Economics";"2023-11-28";"13:15";"2023-11-28";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Math skills, perceptions of fit, and occupational choice"". CoLab Seminar arranged by Department of Economics.";"""Math skills, perceptions of fit, and occupational choice"" Abstract We study how beliefs about math skills and fit affect occupational choice among Swiss students who are about to apply to apprenticeships. Although there is no gender difference in math skills, we document a substantial gender gap in preferences and search for math-intensive apprenticeships. We conduct a field experiment that randomizes the provision of gender-specific information on math ability and fit in gender-incongruent occupations. The intervention increases both boys' and girls' perceptions of fit in gender-incongruent occupations by 0.09-0.16 standard deviations. Furthermore, it increases boys' (girls') probability of searching for information about any gender-incongruent occupation over the following two weeks by 46 (34) percent and leads to an increase in their plans to apply for (trial) apprenticeships in these occupations. The effects on plans to apply for gender-incongruent occupations are driven by boys with low-math skills and girls with high-math skills. Contact person: Kristoffer Balle Hvidberg" "David Wiczer, Atlanta Fed";"Macroeconomics seminar arranged by the Department of Economics";"2023-11-27";"14:15";"2023-11-27";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Marginal Propensity to Repay Debt"". Macroeconomics Seminar arranged by Department of Economics.";"""The Marginal Propensity to Repay Debt"" Abstract Using detailed micro data, we document that households often use ""stimulus"" checks to pay down debt, especially those with low net wealth-to-income ratios. To rationalize these patterns, we introduce a borrowing price schedule into an otherwise standard incomplete markets model. Because interest rates rise with debt, borrowers have increasingly larger incentives to use an additional dollar to reduce debt service payments rather than consume. Using our calibrated model, we then study whether and how this marginal propensity to repay debt (MPRD) alters the aggregate implications of fiscal transfers. We uncover a trade-off between stimulus and insurance, as high–debt individuals gain considerably from transfers, but consume relatively little immediately. We show how this mechanism can lower short-run fiscal multipliers, but sustain aggregate consumption for longer. Co-authors: Gizem Koşar, Davide Melcangi and Laura Pilossoph Contact person: Jeppe Druedahl" "SODAS Lecture: How Machine Learning can Advance Theory Formation in the Social Sciences";"SODAS";"2023-11-24";"11:00";"";"12:30";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"SODAS Lecture with Associate Professor Caspar van Lissa, Tilburg University.";"Title: How Machine Learning can Advance Theory Formation in the Social Sciences Abstract: Theories are the vehicle of cumulative knowledge acquisition. At this time, however, many social scientific theories are insufficiently precise to derive testable hypotheses. This limits the advancement of our principled understanding of development. This problem cannot be resolved by improving the way deductive (confirmatory) research is conducted (e.g., through preregistration and replication), because theory formation requires inductive (exploratory) research. In this presentation, I argue that machine learning can help advance theory formation in the social sciences, because it enables rigorous exploration of patterns in data. I will discuss specific advantages of machine learning, explain core methodological concepts, introduce relevant methods, and describe how data-driven insights are consolidated into theory. Machine learning automates exploration, and incorporates checks and balances to ensure generalizable results. It can assist in phenomenon detection and offers a more holistic understanding of the phenomena associated with an outcome or process of interest. Bio: Caspar van Lissa is associate professor of social data science at the department of Methodology & Statistics, chair of the Open Science Community Tilburg, and member of the Tilburg Young Academy. His research addresses the epistemological implications of machine learning for theory formation in the social sciences, evidence synthesis – summarizing existing research using machine learning-informed meta-analysis and text mining systematic review – and open reproducible science. He is an advocate for open source research software and has (co-)authored ten R-packages." "Katja Mann, CBS";"Macroeconomics seminar arranged by the Department of Economics";"2023-11-20";"14:15";"2023-11-20";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Pension reform and wealth inequality: theory and evidence"". Macroeconomics Seminar arranged by Department of Economics.";"""Pension reform and wealth inequality: theory and evidence"" Abstract A growing literature explores reasons for rising wealth inequality, but is mostly silent on the role of pension systems despite their well-understood influence on life-cycle savings. This paper develops a simple life-cycle model to lay bare the primary theoretical mechanisms connecting pension systems, asset accumulation, and the wealth distribution. Mandated fully-funded plans transform individuals with lower incomes, often characterized as low savers, into asset owners, and may also imply a more equal wealth distribution than pay-as-you-go-based systems. To test the empirical validity of these predictions, the paper explores a pension reform in Denmark, a country that witnessed declining wealth inequality over the last decades. In a calibrated life-cycle model employing unique register data, the Danish pension reform emerges as a key factor explaining the downward trend in wealth inequality. Contact person: Morten Graugaard Olsen" "Efrem Castelnuovo, University of Padova";"Macroeconomics seminar arranged by the Department of Economics";"2023-11-16";"11:00";"2023-11-16";"12:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Uncertainty and the Business Cycle When Inflation is High"". Macroeconomics seminar arranged by the Department of Economics.";"""Uncertainty and the Business Cycle When Inflation is High"" Abstract We employ a nonlinear stochastic volatility-in-mean VAR framework to investigate the effects of macroeconomic uncertainty shocks on the business cycle. We document a larger positive inflation response and a bigger drop in real activity when inflation is high. We interpret our empirical findings with a nonlinear New Keynesian framework featuring second-moment shocks and trend inflation. The interaction between high trend inflation and firms’ upward pricing bias generates a large price dispersion that exacerbates the macroeconomic effects induced by the uncertainty shock. In our model, an aggressive monetary policy response to inflation in the presence of high trend inflation replicates the allocation. Co-authors: Giovanni Pellegrino and Laust Ladegård Særkjær Contact person: Søren Hove Ravn" "Tech Policy Days";"Crown Princess Mary Center, Copenhagen Center for Social Data Science and Department of Political Science";"2023-11-16";"09:00";"2023-11-17";"16:00";"Copenhagen";" Tech Policy Days will take place in Copenhagen 16th and 17th of November";" Your web browser does not support iframes, which means that the video Tech Policy Days (Updated with new logos) cannot play. Tech Policy Days will take place in Copenhagen 16th and 17th of November We are delighted to invite you to Tech Policy Days hosted by the Confederation of Danish Industry, Danish Tech Startups and the University of Copenhagen with generous support from Industriens Fond from November 16 – 17, 2023. Tech Policy Days is the first annual conference of the CPH Tech Policy Committee. It brings together key actors in the Danish and international tech policy field to discuss current and future tech policy challenges and add new perspectives to the global tech agenda. Over the course of two days, we engage in meaningful conversations about Denmark’s technological trajectory on a global scale drawing on state-of-the-art research. You will gain new insights on emerging technologies, data governance dilemmas and the evolving international tech policy landscape. At the core of these discussions are responsible, democratic, and ethical considerations. Join us in Copenhagen for two days of exciting events and debates with international guests. Read more about the program below and sign up for the events. We look forward to seeing you! Program Thursday November 16th Time Event 11.00 - 12.30 The geopolitics of innovation: How can democracies win the tech race? In 2000, Europe had 41 of the world’s top 100 companies; by 2021, only 15 remained. To bolster our global influence, Danish and European leaders must address rising competition and the challenge of losing out on new global leaders based in Denmark and Europe. Join us on the 16th November at 11:00 am in Matrikel1 along with key thought leaders to explore innovative ideas together and create concrete initiatives to fortify Denmark and Europe as economic and technological leaders in a complex global economy. Come and join us - sign up here. When and where When: November 16th, 11:00 – 12:30 Where: Danish Tech Startups, Matrikel1 – Mesh Community, 10 Højbro Plads, 1200 København K 15.00 - 18.00 A Digital Sovereign Europe and what it might mean for industry DI Digital and the University of Copenhagen invite you to an afternoon and evening with debates and talks on ‘A Digital Sovereign Europe and what it might mean for industry’. Expect to get updated on research as well as the latest policy and regulative developments within digital sovereignty and what this development means for companies. The afternoon is followed by a reception and talk: Governing the Information Environment? Calls continue growing to regulate artificial intelligence, counter disinformation, and hold social media companies to account. But how can we govern the information environment if we don’t understand it? Alicia Wanless, Director of the Partnership for Countering Influence Operations at the Carnegie Endowment for International Peace, will explore the challenges a broken research model poses to developing informed policy for a complex system, and what can be done about it. Come and join us for the debate - sign up here. When and where When: November 16th, 15:00 - 18:00. Where: Confederation of Danish Industry (DI), Industriens Hus, H. C. Andersens Blvd. 18, 1553 København Friday November 17th Time Event 11.00 - 12.00 CPH Tech Policy Youth Committee – Youth in a digital world We are delighted to invite you to the official launch of the CPH Tech Policy Youth Committee, a committee consisting of students with an interest and a desire to impact the Tech Policy Debate in Denmark and beyond. Professor Rebecca Adler-Nissen will introduce the committee, followed by a panel discussion focusing on the importance of integrating youth perspectives in the Tech Policy debate. Our panel will deal with questions like – what are the opportunities and risks of growing up in an increasingly digitalized era? How can younger generations engage in shaping the digital landscape? Coffee and snacks will be provided. Come join us for the launch - sign up here. When and where When: November 17th, 11:00 - 12:00 Where: ’Forskningskollektivet’ Room 4.1.18 (building 4, first floor, room 18) on UCPH’s CSS-campus. Øster Farimagsgade 5, 1123 Copenhagen Contact If you have any questions, don't hesitate to contact us. Sigrid Marie Lassen, Crown Princess Mary Center +45 93 56 53 35sml@samf.ku.dk Rebecca Adler Nissen, Copenhagen Center for Social Data Science+45 30 22 40 75ran@sodas.ku.dk " "Shan Huang defends her PhD thesis at the Department of Economics";"Department of Economics";"2023-11-15";"17:30";"2023-11-15";"19:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Essays on the economics of health care provision";"Candidate: Shan Huang, Department of Economics, University of Copenhagen Title: Essays on the economics of health care provision Supervisor: Hannes Ullrich, Associate Professor, Department of Economics, University of Copenhagen Assessment Committee: Meltem Daysal, Associate Professor, Department of Economics, University of Copenhagen Jonathan Kolstad, Associate Professor, Department of Economics, University of California Berkeley Iris Kesternich, Professor, Department of Economics, University of Hamburg Summary: This thesis comprises four self-contained chapters. Each chapter builds on empirical evidence from microdata in order to address a novel research question from the field of health economics. The chapters explore topics related to the behavior of healthcare providers, the value of data, and the sustainability of health insurance systems. By collectively investigating these topics, this thesis aims to advance our understanding of efficient healthcare provision. Chapter 1: 'Provider effects in antibiotic prescribing: Evidence from physician exits', investigates how the practice styles of primary care providers contribute to antibiotic consumption. Policymakers strive to reduce antibiotic consumption, a major contributor to bacterial resistance. However, lower prescribing levels may jeopardize patient health. We explore whether targeting physicians' prescribing styles can effectively reduce antibiotic use without compromising patient health. To differentiate provider effects from patient effects, we leverage physician exits from primary care in Denmark, where physicians and patients are exogenously separated due to clinic closures, physician moves, or retirements. Our findings reveal that practice styles account for 49% of antibiotic prescribing differences between providers, implying that standardizing practice styles could reduce differences by half. However, the effect magnitude is even greater (83%) when restricting to second-line antibiotic use. Moreover, higher prescribing intensities do not indicate greater efficiency at the margin but are instead associated with more treatment failures and prescriptions without diagnostic tests, and no reduction in the risk of patient hospitalization for infection. This study is coauthored with Hannes Ullrich. Chapter 2: 'Assessing the value of data for prediction policies: The case of antibiotic prescribing', explores the benefits of linking separate administrative data to improve targeted health care provision in the context of antibiotic prescribing. We treat antibiotic prescribing as a prediction policy problem and employ a machine learning algorithm trained to identify bacterial urinary tract infections in primary care. We measure improvements in prediction quality and antibiotic targeting by evaluating the algorithm's predictions against physician decisions. We find that including simple demographic information leads to considerable improvements in prediction quality, measured by the area under the operating curve (AUC). Additionally, including patients' rich medical histories improves AUC only modestly but reduces antibiotic use substantially. Our findings highlight the importance of assessing data needs based on policy objectives and not solely on prediction quality. This chapter is coauthored with Michael Ribers and Hannes Ullrich. Chapter 3: 'The role of physician altruism in the physician-industry relationship: Evidence from combining experimental and observational data', examines the link between altruism, a professional norm among health care providers, and physicians' ties to the pharmaceutical industry. We match data on altruistic preferences for 280 physicians in the US, obtained from a revealed preference economic experiment, with information on their receipt of monetary and in-kind transfers from pharmaceutical firms, along with claims data on their drug prescriptions. We find that physicians with less altruistic preferences receive industry transfers with a monetary value that is, on average, 112.55% higher than those with strong altruistic preferences, indicating selective targeting by pharmaceutical firms. Moreover, we observe that a positive association between industry transfers and higher overall drug costs or brand prescribing rates is primarily driven by physicians with less altruistic preferences. Our study highlights the role of professional norms in physicians' clinical behavior. This chapter is coauthored with Anirban Basu and Jing Li. Chapter 4: 'The effect of a ban on gender-based pricing on risk selection in the German health insurance market', examines the financial sustainability of health insurance systems by studying the impact of the unisex mandate -- a regulatory change that banned gender-based pricing -- on risk segmentation between public and private health insurance in Germany. While public health insurance companies cannot set prices based on expected health expenses, private health insurance companies consider health risk, including gender, as pricing factors. The unisex mandate made private health insurance relatively more appealing to women and less appealing to men. Based on survey data from the German socio-economic panel, we provide empirical evidence that the unisex mandate substantially increased women's switching from public to private insurance. The effect varies across employment groups and aligns with different financial incentives. The changes induced by the unisex mandate worsen the private sector's risk pool and improve the public sector's risk pool, as women have on average higher health expenses than men. Our study highlights how regulatory changes can impact risk segmentation in the health insurance market. This chapter is coauthored with Martin Salm. An electronic copy of the thesis can be requested here: lema@econ.ku.dk" "Data Ethics in Europe: Uncovering Pathways and Barriers to Political Influence";"Danish Data Ethics Council and Copenhagen Center for Social Data Science (SODAS)";"2023-11-10";"13:30";"";"17:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K.";"Conference on date ethics in Europe hosted by the The Danish Data Ethics Council and Copenhagen Center for Social Data Science (SODAS)";"Data Ethics in Europe We find ourselves in an era defined by digitalization, where digital technologies profoundly impact democracies and the quality of human life. The European Union (EU) has emerged as a prominent force in establishing legal frameworks to ensure the responsible use of data and digital technologies. Key initiatives, such as GDPR, DSA, and upcoming legislation concerning AI, European Media Freedom, and Digital Markets, have been significantly informed by ethics boards, including the distinguished High-Level Expert Group on Artificial Intelligence. This conference brings together internationally renowned researchers and members of the Danish Data Ethics Council to delve into the defining characteristics of ethical data practices within a European context. We will explore the most pressing current issues and consider the opportunities and challenges in shaping the impact of ethical data governance on politics and society. The conference will be moderated by Astrid Haug. Program 1.30 PM - 1.45 PM: Welcome: Data Ethics in a European Context By Professor Rebecca Adler-Nissen, SODAS and Department of Political Science, University of Copenhagen and Associate Professor Kristoffer Albris, SODAS, University of Copenhagen. 1.45 PM - 3.00 PM: Keynote Session: Data Ethics in the Age of Generative AI: Challenges for the European Context By Professor Louise Amoore, Durham University, UK (45 min talk, 30 min Q&A). 3.00 PM – 3.15 PM: Coffee break 3.15 PM – 4.00 PM: Panel Discussion: Data Ethical Influence in Politics – Opportunities and Challenges Panel includes: Professor Rebecca Adler-Nissen, SODAS, University of Copenhagen. Professor Louise Amoore, Durham University, UK. Professor Mikkel Flyverbom, Copenhagen Business School, member of The Danish Data Ethics Council. Johan Busse, Chairman of The Danish Data Ethics Council. 4.00 PM – 4.15 PM: Closing Remarks By Johan Busse, Chairman of The Danish Data Ethics Council. 4.15 - : Reception and networking Enjoy beers and snacks, and mingle with fellow attendees. Sign up here. " "Kristian U. O. Larsen defends his PhD thesis at the Department of Economics";"Department of Economics";"2023-11-10";"13:00";"2023-11-10";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Gender Inequality, Labor Supply and New Structural Methods";"Candidate: Kristian Urup Olesen Larsen, Department of Economics, University of Copenhagen Title: Gender Inequality, Labor Supply and New Structural Methods Supervisors: Claus Thustrup Kreiner, Professor, Department of Economics, University of Copenhagen Søren Leth-Petersen, Professor, Department of Economics, University of Copenhagen Assessment Committee: Thomas Jørgensen, Associate Professor, Department of Economics, University of CopenhagenSpencer Bastani, Adjunct Professor, Department of Economics, Uppsala UniversityHerdis Steingrimsdottir, Associate Professor, Department of Economics, Copenhagen Business School Summary: This thesis consists of three self-contained chapters, each made up of a research paper. While the three papers do not share a common topic or method, they are all influenced the CEBI research agenda. Chapters one and two have in common their reliance on the Danish administrative data and the use of micro-econometric methods, while the third chapter carries out methodological work using reinforcement learning. Together the chapters span from dynamic structural modelling through contributions to the estimation of tax elasticities to issues of gender inequality. Each of the chapters can be read independently of each other, as each of them contains all the relevant references and appendices. Chapter 1: Couples and Gender Inequality The first chapter documents the transition from single to living in couples as a novel source of gender inequality. When women enter their first cohabiting couple — typically around their early to mid-20s — they experience an average income penalty of 5% of their expected annual income had they continued living as singles. This effect comes on top of an income loss deriving from increased fertility and thus increased exposure to the child penalty. Men are unaffected by the transition, which means couple-formation by itself contribute to the gender inequality in income. I investigate two main theoretical mechanisms with the potential to explain the existence of a cohabitation penalty; household specialization and gender norms. While specialization into homemaker/breadwinner roles does not seem to contribute to the cohabitation penalty, I show evidence that suggests adherence to traditional gender norms, which are transmitted across generations, is driving the magnitude of the penalty. Chapter 2: Micro vs Macro Labor Supply Elasticities: The Role of Dynamic Returns to Effort The second chapter, co-authored with Henrik Kleven, Claus Thustrup Kreiner and Jakob Egholt Søgaard, develops a new model of earnings responses to taxes when the returns to effort are dynamic. In this model returns to effort accrue with delay, because performance evaluations in the form of job or occupation switches happen stochastically. We provide descriptive empirical evidence that supports our theoretical model, and some that explicitly contradicts the classical static model of labor supply. In our model, earnings responses around discrete job-switches (partially) identify the long-run macro elasticity of labor supply, while approaches that include job-stayers are attenuated. We provide quasi-experimental evidence on earnings responses to taxes using a Danish tax reform, and exploiting earnings variation due to job-switches. We find that the macro elasticity based on job-switchers is much larger than the micro elasticity, because the standard approach does not account for dynamic compensation effects. This chapter is also available as NBER Working Paper 31549. Chapter 3: Using Reinforcement Learning for Solving Dynamic Discrete-time Problems in Economics In the third chapter, co-authored with Joachim Kahr Rasmussen, we show that modern methods from the field of reinforcement learning can be used to solve dynamic problems of high relevance to economists. The traditional approaches to dynamic programming favors precision and exhaustiveness at the cost of being inappropriate for high-dimensional problems. Reinforcement learning on the other hand trades off accuracy for better generalization to higher dimensional problems. This makes RL agents attractive for a certain type of economic problem where dimensionality is a practical constraint and researchers are willing to forego some precision in order to approximate solutions in higher dimensions. We demonstrate applications of Reinforcement Learning across problems with discrete as well as continuous state and action spaces, and find that RL shows promising potential in dealing efficiently with high dimensionalities. We also highlight that time-efficient solutions using RL rely on optimally tuned hyperparameters - a process that in itself can be tremendously costly in terms of computational power. This chapter also appeared in the PhD dissertation of Joachim Kahr Rasmussen. An electronic copy of the thesis can be requested here: lema@econ.ku.dk" "SODAS Data Discussion 10 November 2023";"SODAS";"2023-11-10";"11:15";"";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"Data Discussion with Dario Ramon Landwehr and Anders Saabye Møller.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. SODAS DATA DISCUSSION: SDS STUDENTS EDITION Join us for November’s Data Discussion, which features two students from our Social Data Science program presenting ongoing work. First discussion Measuring the Rhetorical Mainstreaming of Radical Right Parties through Supervised Machine Learning Presenter: Dario Ramon Landwehr Abstract: Once insurgent outsiders, radical right parties in Europe are now in many cases entrenched features of national party systems. Many are now faced with the option of collaborating with mainstream parties in government, either as coalition partners or support parties. Can they do so while maintaining their radical edge? We provide new evidence on how radical right party rhetoric changes during and after government collaboration. Using machine learning methods applied to around 1.5 million parliamentary speeches across five countries, we develop a measure of the rhetorical distinctiveness of radical right parties at the speech level. We then estimate differential trends in distinctiveness for government collaborators using difference-in-differences models. We find that when collaborating with government parties, radical right parties consistently use less distinctive rhetoric. Distinctiveness rebounds after radical right parties stop collaborating. Our findings shed new light on the mainstreaming of the radical right and the dynamics driving party system change. Second discussion Behavioral Segmentation of Danish Video-On-Demand Streaming By: Anders Saabye Møller Abstract: What can be learned from segmenting the Video-On-Demand (VOD) streaming market in Denmark, and how may rich behavioral data be segmented? This industrial thesis, partnered with the Danish Broadcasting Corporation (DR), aims to pinpoint behavioral segments and understand how they engage with public service offerings. My dataset of 3,800 panelists tracks viewing across all devices, from major streaming platforms to social media, with more granular data for the Danish VOD streaming platforms. Though UMAP-HDBSCAN cluster analysis has been applied, it falls short in capturing data's longitudinal nuances—a gap potentially bridged by unsupervised learning methods like LSTM networks. I will present initial findings and welcome a discussion on the affordances of the data. " "The Science of the Predicted Human talk series: Phillip Lorenz-Spreen";"Pioneer Center for Artificial Intelligence, DTU Compute and SODAS";"2023-11-09";"10:30";"2023-11-09";"12:00";"SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5. ";"We are delighted to host Philipp Lorenz-Spreen (Max Planck Institute for Human Development) for a talk in our series on The Science of the Predicted Human. ";"We are delighted to host Philipp Lorenz-Spreen (Max Planck Institute for Human Development) for a talk in our series on The Science of the Predicted Human. Dr. Lorenz-Spreen research has made important theoretical and empirical contributions to the understanding of how online discourse self organizes, and how democratic decision making can be empowered through online platform design. Please join us for this event on November 9, 10:30am in the SODAS Conference Room - 1.1.12, Øster-Farimagsgade 5. (notice that this is a different location than the previous lectures in the talk series) TITLE:Digital media and democracy: what is changing globally and how to measure it ABSTRACT:Information and communication technology has undergone dramatic developments over the past two decades. Increased peer-to-peer connectivity has led to more self-organised public discourse, but it has also given researchers new tools to quantify precisely this systemic shift. Detailed and longitudinal data from social media allow us to measure and model their network structures and dynamics. However, to get a holistic and global picture, a recent systematic literature review has provided us with a number of dimensions of political behaviour that appear to be influenced by the use of digital media. Our findings show that, while the directions within each dimension are mostly clear, they are distributed differently globally and the mechanisms by which these dimensions are linked are still unknown. Understanding these better is crucial for civil society in democracies worldwide, and I will conclude with a methodological outlook on how we can empirically investigate these missing links in the future. ABOUT PHILLIP LORENZ-SPREEN:Philipp Lorenz-Spreen’s research focuses on the complexity of self-organized online discourse and how to empower democratic and autonomous decision-making through platform design and boosting. His aim is to better understand the interplay between human behaviour and the connectivity and functioning of online platforms, in particular how this affects the public discourse and thus our democracy. But also, to question the status quo and explore how this technology offers untapped opportunities for an improved information ecosystem and participatory democracy lived online. Recently, he has become interested in how the research community can foster the paradigm shift in data access for the common good. He received his PhD from the TU Berlin on empirical methods and theoretical models to describe the dynamics of collective attention. At the LMU in Munich he studied physics with a focus on systems biophysics. In 2021, he received the Prize for Young Scientists from the Leopoldina. THE PREDICTED HUMAN:Being human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence." "Michael Siegenthaler, ETH";"CoLab seminar arranged by the Department of Economics";"2023-11-07";"13:15";"2023-11-07";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Role of Wages and Fringe Benefits in Job Search: Evidence from a Large-Scale Online Field Experiment"". CoLab seminar arranged by Department of Economics. ";"""The Role of Wages and Fringe Benefits in Job Search: Evidence from a Large-Scale Online Field Experiment"" Abstract A fundamental question in the job search literature concerns the extent to which job seekers' application behavior is influenced by disparities in wages and fringe benefits between jobs. In this study, we quantify job seekers' compensation preferences by randomly providing users of various Swiss job boards with supplementary information regarding the wage and fringe benefits associated with the positions they are exploring. Our preliminary findings indicate that job seekers exhibit a precisely estimated but small responsiveness to posted wages. A 10% higher wage increases job seekers' probability to view and apply to an ad by 3-5%, suggesting that the firm labor supply elasticity is 0.6-1. Job seekers in lower-paying occupations are more sensitive to wages, implying a larger elasticity. Furthermore, job seekers have a substantial willingness to pay for at least 5 of the 12 fringe benefits in the experiment. On average, they are willing to forgo a 20% higher wage for the opportunity to work from home, 16% for a company car, and 9% for access to firm-sponsored childcare facilities. Job seekers' compensation preferences are similar in male- and female-dominated occupations. Contact person: Daphné Skandalis" "Marta Morazzoni, University College London";"Macroeconomics seminar arranged by the Department of Economics";"2023-11-06";"14:15";"2023-11-06";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Monetary Policy in a Multimarket Economy: The Role of Markups and Adjustment Costs"". Macroeconomics Seminar arranged by Department of Economics.";"""Monetary Policy in a Multimarket Economy: The Role of Markups and Adjustment Costs"" Abstract What is the role of demand elasticities and price adjustment costs in shaping the heterogeneous response of firms’ markups to monetary policy shocks? In this paper, we build a novel heterogeneous firms New Keynesian model where markups evolve endogenously over firms’ life cycle, which we further enrich with firm-specific price rigidities and a multi-market structure. Crucially, firms’ growth is market-specific, leading to heterogeneous size and markup distributions on different markets. Since markets cannot be identified in the data, we show that market shares are badly proxied by firm size and can instead be empirically related to firm age. This is consistent with evidence that old firms in Compustat have a more countercyclical markup response after an unexpected contractionary monetary policy shock. Our framework predicts that dominant firms on each market face a more inelastic demand, which implies a lower pass-through rate from costs to prices, but also higher costs to adjust prices. Therefore, after a contractionary monetary policy shock, dominant firms pass less the reduction in marginal costs to prices compared to competitors, and increase their markups by more, as we document empirically. Both margins point towards important implications for monetary policy transmission and amplification. Contact person: Søren Hove Ravn" "Edith Zink defends her PhD thesis at the Department of Economics";"Department of Economics";"2023-11-03";"15:00";"2023-11-03";"17:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Empirical Essays on the Political Economy of Social Exclusion";"Candidate: Edith Zink, Department of Economics, University of Copenhagen Title: Empirical Essays on the Political Economy of Social Exclusion Supervisor: Associate Professor Pablo Antonio Selaya Elio Assessment Committee: Søren Leth-Petersen, Professor of Economics, University of CopenhagenJohanna Rickne, Professor of Economics, Stockholm UniversityJames A. Robinson, University Professor, University of Chicago Summary: This thesis is comprised of three independent chapters with case studies of different forms of social exclusion from a political economy perspective. Chapter 1 -- What is the Ideal Number of Women in Politics? Distributive Preferences, Inequality, and Meritocracy -- with Pablo Selaya and Sina Smid In this project, we propose to view the low number of women in politics as a question of distributive justice, and study empirically what would constitute an ideal number. We designed an online survey questionnaire in which we ask respondents to (a) estimate the current number of women in politics; and (b) express their preferences for an ideal number of women in politics subject to a “lottery of nature”. The “lottery of nature” helps respondents to abstract from their personal characteristics and social position. Respondents reveal a noticeable degree of preference for inequality in the distribution of political power between men and women. We probe two mechanisms to explain this finding. First, we show that specialization of female politicians in specific policy areas is not the reason. Second, our survey experiments indicate that especially female respondents believe that having more meritocratic attributes is differentially more important for female than for male political candidates. Our research contributes to understanding the mechanisms that sustain a lower participation of women in politics. Chapter 2 -- After Autocracy: Power Struggles in Tunisia After the Arab Uprisings In this chapter, I examine the territorial redistribution of political power in Tunisia after the Arab Uprisings; a series of mass protests that led to the ousting of the autocratic president, Ben Ali, who had ruled for 24 years until January 2011. The autocratic regime had concentrated power significantly, resulting in social exclusion and widespread frustration that ultimately galvanized the Uprisings. With Ben Ali's departure, Tunisia embarked on a transition away from the concentrated power and exclusion inherent in autocracy. Political decentralization was an important part of Tunisia's new constitution. Municipal elections, however, were not held until May 2018. In these first seven years after Tunisia's transition from autocracy, the central government appointed, and replaced municipal councils by decree. I generate a novel data set on these council appointments from regulative texts and exploit variation across regions and over time to estimate the effect that council appointments had on social conflict behavior (for example demonstrations, riots, or protests). I find that council appointments led to more violent conflict which is driven by repeated replacements of previously appointed councils. I conclude that my results suggest that there was regional variation in the two suggested motivations behind council appointments: trying to gain control against citizens’ will, and exerting control where there was less resistance. Chapter 3 -- The Making of a Ghetto: Residential Moving and Neighborhood Segregation -- with Jack Melbourne Neighborhood segregation is an important source and manifestation of social exclusion. Neighborhood compositions are relevant for social interactions and the availability of local public goods, leading to a form of social exclusion in which residents of disadvantaged neighborhoods do not have access to the same resources as residents of more advantaged neighborhoods. Neighborhood segregation is significantly shaped by peoples' ability and decisions to move into and out of different neighborhoods. In this chapter, we evaluate Denmark's Ghetto Plan, a policy introduced in 2010 with the goal to reduce segregation. We study how this policy affected residential moving decisions. Overall, we find that the policy was largely ineffective, as it did not fundamentally alter neighborhoods socio-economic composition. When we break these effects down into groups of people who moved or stayed in treated neighborhoods, we find that effects are explained by relative changes in the composition of groups of people who chose to move out of and into treated neighborhoods. We discuss that this could be explained by (i) the stigmatization of treated neighborhoods, (ii) avoidance of specific policy measures applied in treated neighborhoods, and (iii) the other incentives to move out that were offered in treated neighborhoods. An electronic copy of the thesis can be requested here: lema@econ.ku.dk" "Simon Jäger, Massachusetts Institute of Technology (MIT)";"CoLab seminar arranged by the Department of Economics";"2023-10-24";"13:15";"2023-10-24";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Worker Representatives"". CoLab seminar arranged by the Department of Economics";"""Worker Representatives"" Abstract We study the selection of worker representatives and how representation affects worker outcomes. We focus on German works councilors---shop-floor representatives elected from the workforce. We paint a comprehensive picture of representatives’ characteristics spanning a period of more than forty years, combining rich administrative panel and representative survey data. Contrary to other domains of power where blue-collar workers are often underrepresented, we document that blue-collar workers have been close to proportionally represented among works councilors for the past four decades with a shrinking representation gap over time. Worker representatives are positively selected in terms of earnings and person-fixed effects. They tend to have more extroverted, more open, and less neurotic personalities, show greater interest in politics, and lean left politically, compared to the populations they represent. Drawing on event study designs around scheduled works council elections, as well as an instrumental variables strategy building on representatives retiring, we study the effects of blue-collar representation on worker outcomes. We find that electing blue-collar representatives protects workers from involuntary layoffs and mildly compresses wages. Our results support the hypothesis that blue-collar representatives place greater emphasis on job security, in line with higher worries about layoffs and risk of unemployment faced by blue-collar workers. Contact person: Kristoffer Balle Hvidberg" "Daniel Carvajal, NHH Bergen ";"Scandinavian PhD Student Seminar Exchange arranged by the Department of Economics";"2023-10-23";"10:30";"2023-10-23";"11:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Social context, identity and prosocial behavior"". Scandinavian PhD Student Seminar Exchange.";"""Social context, identity and prosocial behavior"" Abstract As society becomes increasingly diverse, a key question arises: does a change in our social context — defined by the individuals we are exposed to — influence our interactions with each other? This paper studies this question using an experiment in a large-scale U.S. sample. Participants make an incentivized allocation towards either a fellow U.S. national or a foreigner, while exogenously exposed to one out of two social contexts with varying levels of diversity in nationalities. I find that facing a diverse context amplifies ingroup bias, driven by both increased allocations towards U.S. nationals and decreased allocations to foreigners relative to allocations in a homogeneous context. Evidence suggests that changes in perceptions of social proximity are a mechanism behind the effects of context on allocations. Finally, exposure to a diverse context influence political views, in a direction consistent with an increased ingroup favoritism towards U.S. nationals. Contact person: Robert Mahlstedt" "Isabelle Mejean, Sciences Po";"Macroeconomics seminar arranged by the Department of Economics";"2023-10-16";"14:15";"2023-10-16";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Frictions and adjustments in firm-to-firm trade"". Macroeconomics Seminar arranged by Department of Economics.";"""Frictions and adjustments in firm-to-firm trade"" Abstract We build a dynamic Ricardian model of trade with search frictions. The model generates an endogenous network of firm-to-firm trade relationships and price bargaining within and across relationships. Following a foreign shock, firms sourcing inputs from abroad have three options: absorb the shock, renegotiate with their current supplier or switch to a supplier in another country. The size of these adjustment margins depends on the interplay between Ricardian comparative advantages, search frictions and firms’ individual characteristics. We exploit French firm-to-firm trade data to estimate the model structurally and quantify the relative importance of these adjustment margins at sector-country level. Download: link to paper Contact person: Jeppe Druedahl" "SODAS Data Discussion 13 October 2023";"SODAS";"2023-10-13";"11:15";"";"12:15";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"Data Discussion with Magnus Lindgaard Nielsen and Jeppe Søndergaard Johansen.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. First discussion Transforming Prediction Policy: How Novel Machine Learning Methods Can Improve Higher Education Admission By: Magnus Lindgaard Nielsen, Jonas Skjold Raaschou-Pedersen, Emil Chrisander, Julien Grenet, Anna Rogers, David Dreyer Lassen, and Andreas Bjerre-Nielsen. Presenter: Magnus Lindgaard Nielsen Abstract: We investigate how recent advances in machine learning can improve algorithmic policy-making. We base our study in the context of admission to higher education in Denmark, where we exploit a unique large-scale dataset on the historic academic success of students and pre-admission information about them. We estimate a model based on the high-dimensional and sequential information encoded in the complex data of grade transcripts from elementary and high school by leveraging the transformer architecture. Our model improves the performance over standard machine learning models based on aggregate information from transcripts, irrespective of whether student background information is included. To assess our model’s potential for algorithmic policy-making, we embed it in a counterfactual admission prediction policy setup. We find that our model selects students with higher graduation rate compared to selection using actual admission criteria, either based on high school GPA or faculty evaluation. Our model satisfies the fairness concept sufficiency across a wide variety of sensitive attributes. We find that our models exhibit similar fairness properties compared to the current admission policies measured. Our results demonstrate the potential for using novel machine learning techniques to improve prediction policy-making using a new method of data representation for complex tabular data. Second discussion Modeling latent political views using LLM-embeddings By: Tobias Priesholm Gårdhus, Jeppe Søndergaard Johansen, and August Lohse. Presenter: Jeppe Søndergaard Johansen Abstract: This paper considers how to use large language models when exploring latent structures of unstructured data such as text, when some information is available about the ordering of the authors’ views. To illustrate the capabilities of this method, we use it to ideologically scale Facebook posts from politicians, exploiting that we know their party affiliation to map LLM-embeddings of the posts into a 1-dimensional ideological representation. This 1-dimensional representation of the posts has a specific ordering and is restricted to follow a standard normal distribution, allowing for easy interpretation. Concretely, we construct a neural network that maps Facebook posts embeddings to a 1-dimensional layer from which we use ordered probit to predict party affiliation. We consider two distinct ways of restricting the latent space to a standard normal distribution. First, we consider KL-divergence akin to variational auto-encoders, second, we consider using insights from Stein's method to construct an adversarial estimation technique. More broadly we present a way to combine unstructured data (with ordered labels) into a structured representation, that can be used for further analysis. In our example, we consider ideological scaling, but could easily be extended to other use cases." "Dmitry Mukhin, London School of Economics";"Macroeconomics seminar arranged by the Department of Economics";"2023-10-09";"14:15";"2023-10-09";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Optimal Exchange Rate Policy"". Macroeconomics Seminar arranged by Department of Economics.";"""Optimal Exchange Rate Policy"" Abstract We develop a general policy analysis framework that features nominal rigidities and financial frictions with endogenous PPP and UIP deviations. The goal of the optimal policy is to balance output gap stabilization and international risk sharing using a mix of monetary policy and FX interventions. The nominal exchange rate plays a dual role. First, it allows for the real exchange rate adjustments when prices are sticky, which are necessary to close the output gap. Monetary policy can eliminate the output gap, but this generally requires a volatile nominal exchange rate. Volatility in the nominal exchange rate, in turn, limits the extent of international risk sharing in the financial market with risk averse intermediaries. Optimal monetary policy closes the output gap, while optimal FX interventions eliminate UIP deviations. When the first-best real exchange rate is stable, both goals can be achieved by a fixed exchange rate policy — an open-economy divine coincidence. Generally, this is not the case, and the optimal policy requires a managed peg by means of a combination of monetary policy and FX interventions, without requiring the use of capital controls. We explore various constrained optimal policies, when either monetary policy or FX interventions are restricted, and characterize the possibility of central bank’s income gains and losses from FX interventions. Joint with Oleg Itskhoki. Contact person: Morten Graugaard Olsen" "Massimo Franchi, Sapienza University of Rome and Paolo Paruolo, Joint Research Centre";"Econometrics seminar arranged by the Department of Economics";"2023-10-05";"14:30";"2023-10-05";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Estimating the number of common trends in large T and N factor models via canonical correlations analysis"". Econometrics seminar arranged by the Department of Economics.";"""Estimating the number of common trends in large T and N factor models via canonical correlations analysis"" Abstract Asymptotic results for canonical correlations are derived when the analysis is performed between levels and cumulated levels of N time series of length T, generated by a factor model with s common stochastic trends. For T → ∞ and fixed N and s, the largest s squared canonical correlations are shown to converge to a non-degenerate limit distribution while the remaining N − s converge in probability to 0. Furthermore, if s grows at most linearly in N, the largest s squared canonical correlations are shown to converge in probability to 1 as (T, N) → ∞. This feature allows one to estimate the number of common trends as the integer with largest decrease in adjacent squared canonical correlations. The maximal gap equals 1 in the limit and this criterion is shown to be consistent. A Monte Carlo simulation study illustrates the findings. Contact person: Rasmus Søndergaard Pedersen" "Thomas Drechsel, University of Maryland";"Macroeconomics seminar arranged by the Department of Economics";"2023-10-02";"14:15";"2023-10-02";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Identifying Monetary Policy Shocks: A Natural Language Approach"". Macroeconomics seminar arranged by Department of Economics.";"""Identifying Monetary Policy Shocks: A Natural Language Approach"" Abstract This paper proposes a novel method for the identification of monetary policy shocks. By applying natural language processing techniques to documents that staff economists at the Federal Reserve prepare for FOMC meetings, we capture the information set of the committee at the time of policy decisions. We verify econometrically that the language contains valuable information beyond what is incorporated in the staff’s numerical forecasts. Using machine learning techniques, we then predict changes in the target interest rate conditional on the committee’s information set and obtain a measure of monetary policy shocks as the residual. We find that the dynamic responses of macro variables to our identified shocks are consistent with the theoretical consensus. Contact person: Søren Hove Ravn " "The Science of the Predicted Human talk series: Keyon Vafa";"The Pioneer Centre for AI, DTU Compute & SODAS";"2023-09-27";"11:00";"";"12:00";"CSS, Øster Farimagsgade 5a, SODAS Conference Room 1.1.12";"We are happy to announce that we will be hosting a talk by Keyon Vafa - a postdoctoral fellow at Harvard University - as part of the ‘The Science of the Predicted Human’ talk series.";"The Pioneer Center for Artificial Intelligence, DTU Compute and SODAS are delighted to announce that we will be hosting a talk by Keyon Vafa (postdoctoral fellow at Harvard University) as part of the ‘The Science of the Predicted Human’ talk series. In his research, Keyon develops machine learning methodologies to uncover insights into human behavior in labor economics and political science, among other fields in the social sciences. Keyon will be presenting his interesting and highly innovative work (joint with Susan Athey and David Blei) on how to decompose the gender wage gap over worker careers using foundation models. Title ""Decomposing the Gender Wage Gap with a Foundation Model of Labor History"" Abstract A large literature in labor economics seeks to decompose gender wage gaps into different sources, including portions explained by cross-gender differences in education and occupation. While career histories contain valuable information about sources of gender wage disparities, they are too high-dimensional to include in standard econometric techniques. This talk presents new machine learning methods for decomposing gender wage gaps over worker careers. We develop a ""foundation model"" of career trajectories to summarize worker histories with low-dimensional representations. We show how to fine-tune the foundation model on small survey datasets while ensuring that the representations do not omit features of history whose exclusion would bias decompositions. On data from the Panel Study of Income Dynamics, we show that full worker history explains about 25% of the gender wage gap than is unexplained by standard summary statistics and covariates. We conclude by using the representations of worker history to identify clusters of history that are most important for explaining wage gaps. Joint work with Susan Athey and David Blei. The Predicted Human Being human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence. " "Christine Braun, University of Warwick";"Macroeconomics seminar arranged by the Department of Economics";"2023-09-25";"14:15";"2023-09-25";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Labor Market Beliefs and the Gender Wage Gap"". Macroeconomics Seminar arranged by Department of Economics.";"""Labor Market Beliefs and the Gender Wage Gap"" Abstract We study the role of labor market beliefs in the gender pay gap. We find that, on average, women expect to receive lower salaries than men and also expect to receive fewer offers when employed. Gender differences in expectations explain a sizable fraction of the residual gap in reservation wages. We estimate a partial equilibrium job search model that incorporates worker heterogeneity in beliefs about the wage offer distribution, arrival rates, and separation rate. Counterfactual exercises show that labor market beliefs play an important role in the gender wage gap, but matter little for the gender differences in welfare. Eliminating gender differences in the actual offer distribution, by contrast, decreases the gender gap in pay and welfare. Contact person: Søren Hove Ravn " "Francesco Zanetti, University of Oxford";"Macroeconomics seminar arranged by the Department of Economics";"2023-09-18";"14:15";"2023-09-18";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Agreed and Disagreed Uncertainty"". Macroeconomics Seminar arranged by the Department of Economics.";"""Agreed and Disagreed Uncertainty"" Abstract: When agents’ information is imperfect and dispersed, existing measures of macroeconomic uncertainty based on the forecast error variance have two distinct drivers: the variance of the economic shock and the variance of the information dispersion. The former driver increases uncertainty and reduces agents’ disagreement (agreed uncertainty). The latter increases both uncertainty and disagreement (disagreed uncertainty). We use these implications to identify empirically the effects of agreed and disagreed uncertainty shocks, based on a novel measure of consumer disagreement derived from survey expectations. Disagreed uncertainty has no discernible economic effects and is benign for economic activity, but agreed uncertainty exerts significant depressing effects on a broad spectrum of macroeconomic indicators. Contact person: Søren Hove Ravn " "SODAS Lecture: How State and Protester Violence Affect Protest Dynamics";"SODAS";"2023-09-15";"11:00";"";"12:30";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"SODAS Lecture with Professor Zachary Steinert-Threlkeld, UCLA.";"Title: How State and Protester Violence Affect Protest Dynamics. Abstract: How do state and protester violence affect whether protests grow or shrink? Previous research finds conflicting results for how violence affects protest dynamics. This article argues that expectations and emotions should generate an n-shaped relationship between the severity of state repression and changes in protest size the next day. Protester violence should reduce the appeal of protesting and increase the expected cost of protesting, decreasing subsequent protest size. Since testing this argument re- quires precise measurements, a pipeline is built that applies convolutional neural networks to images shared in geolocated tweets. Continuously valued estimates of state and protester violence are generated per city-day for 24 cities across five countries, as are estimates of protest size and the age and gender of protesters. The results suggest a solution to the repression- dissent puzzle and join a growing body of research benefiting from the use of social media to understand subnational conflict. Bio: Professor Zachary Steinert-Threlkeld is an Associate Professor of Public Policy at UCLA’s Luskin School of Public Affairs. His research seeks to understand protest dynamics using natural language processing, computer vision, and large-scale simulations. He has studied protests around the world, including the Arab Spring, East Asia, and the Americas. His newest work looks at evasion of the Great Firewall in China during COVID-19, signalling on social media during the Syrian civil war, how state violence can make protests smaller or larger, and the effect of social media taxation. His work has been published in the American Political Science Review, Journal of Politics, Political Analysis, Proceedings of the National Academy of Sciences, and World Development and received coverage from Al-Jazeera, The Atlantic, Business Insider, The Economist, The New York Times, Scientific American, and WIRED (2). The lecture will be streamed on Zoom via the following link: https://ucph-ku.zoom.us/j/62059888624 (Meeting-ID 620 5988 8624)" "Attila Gyetvai, Bank of Portugal";"Macroeconomics seminar arranged by the Department of Economics";"2023-09-11";"14:15";"2023-09-11";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Option Value of Occupations"". Macroeconomics Seminar arranged by Department of Economics.";"""The Option Value of Occupations"" Abstract The value of a job lies not only in the wage and amenities it pays, but also in the future opportunities it enables. This paper quantifies the value of such opportunities - the option value - associated with occupations. I develop a model of job mobility which parses the flow and option value of occupations: the flow value arises from compensating differentials whereas the option value is comprised of occupational wage promotions, job offer arrival rates, wage offers, and nonpecuniary job switching costs. I estimate the structural model on linked Hungarian administrative data and use it to quantify the relative importance of each of these mechanisms. High-skill occupations offer higher wages and more stable employment; in turn, low-skill occupations feature higher nonwage amenities but larger nonpecuniary costs of switching to high-skill jobs. As a result, workers who start their careers in a high-skill occupation in the bottom 10 percent of wages surpass those who start in a low-skill occupation in the top 5 percent of wages in 5 years. I find that occupational labor market frictions are the key ingredients to the option value of occupations. Contact person: John Vincent Kramer" "August Twile Nielsen defends his PhD thesis at the Department of Economics";"Department of Economics";"2023-08-25";"15:00";"2023-08-25";"17:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Essays on The Green Transition of Manufacturing";"Candidate: August Twile Nielsen, Department of Economics, University of Copenhagen Title: Essays on The Green Transition of Manufacturing Supervisors: Professor Peter Birch Sørensen Professor Jakob Roland Munch Assessment Committee: Professor Morten Bennedsen, Department of Economics, Copenhagen University Professor Rikard Forslid, Department of Economics, Stockholm University Associate Professor Reed Walker, Department of Economics, University of California, Berkeley Summary: This PhD dissertation consists of four independent chapters with different research questions and methods, but they all relate to a green transition of manufacturing. The dissertation sheds light on causes and consequences of the transition, thereby contributing to an increased understanding within this research field and hopefully making decision makers capable of making more informed choices. Chapter 1 focuses on incorporating different abatement technologies in economic models. The chapter presents a new method that improves estimations of which technologies firms will use and the costs of reducing emissions. Chapter 2 shows a descriptive analysis of manufacturing firms’ emissions intensity, measured as emissions per worker, across European countries. The analysis shows that there are small differences across countries, but large differences within industries. This insight, broadly speaking, improves the external validity of research examining aspects of the green transition in one country. Chapter 3 examines to what extent international trade has contributed to making Danish manufacturing cleaner. Results show that offshoring reduces the aggregate Danish emission intensity of manufacturing, while import competition does not affect it. Chinese import competition on the contrary increase global emissions, while offshoring has no effect on global emissions. Finally, chapter 4 sheds light on one aspect of possible consequences of the green transition: How are Danish workers affected by rising energy prices? The analysis finds that average worker earnings decrease modestly, but the effect varies across different types of workers: Those in manual occupations or with short education, particularly in energy intensive firms, are affected significantly, while workers with long education are barely affected." "The Science of the Predicted Human talk series: Professor Jon Kleinberg";"Pioneer Center for Artificial Intelligence, DTU Compute and SODAS";"2023-08-22";"15:00";"2023-08-22";"17:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Professor Jon Kleinberg (Tisch University) for a talk in our series on The Science of the Predicted Human. ";"We are delighted to host Professor Jon Kleinberg (Tisch University) for a talk in our series on The Science of the Predicted Human. Professor Kleinberg's research explores the philosophy and ethics of emerging science and technologies, not least Artificial Intelligence.Please join us for this event on August 22, 3pm in Goth. Aud. 1, Gothersgade 140 TitleThe Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization AbstractOnline platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is that incentives are misaligned: platforms are not optimizing for user happiness. We suggest the problem runs deeper, transcending the specific incentives of any particular platform, and instead stems from a mistaken foundational assumption. To understand what users want, platforms look at what users do. This is a kind of revealed-preference assumption that is ubiquitous in user models. Yet research has demonstrated, and personal experience affirms, that we often make choices in the moment that are inconsistent with what we actually want: we can choose mindlessly or myopically, behaviors that feel entirely familiar on online platforms. In this work, we develop a model of media consumption where users have inconsistent preferences. We consider what happens when a platform that simply wants to maximize user utility is only able to observe behavioral data in the form of user engagement. Our framework is based on a stochastic model of user behavior, in which users are guided by two conflicting sets of preferences -- one that operates impulsively in the moment, and the other of which makes plans over longer time-scales. By linking the behavior of this model to abstractions of platform design choices, we can develop a theoretical framework and vocabulary in which to explore interactions between design, behavioral science, and social media. About Jon KleinbergJon Kleinberg is the Tisch University Professor in the Computer Science Department at Cornell University. Broadly, his research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other online media. Kleinberg has made deep, creative and insightful contributions to many areas, including the HITS algorithm for web search, theoretical results on navigation in networks, and most recently fundamental results in algorithmic fairness. His work has been recognized with MacArthur, Packard, and Sloan Foundation Fellowships, as well as awards including the Nevanlinna Prize, the Lanchester Prize, and the ACM-Infosys Foundation Award in the Computing Sciences. He is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences, and serves on the Computer and Information Science and Engineering (CISE) Advisory Committee of the National Science Foundation, and the Computer Science and Telecommunications Board (CSTB) of the National Research Council. The Predicted HumanBeing human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence." "The science of the predicted human talk series: David Lazer";"Pioneer Center for Artificial Intelligence, DTU Compute and SODAS";"2023-08-21";"11:00";"2023-08-21";"13:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Professor David Lazer for a talk in our series on The Science of the Predicted Human. Please join us for this event on August 21, 11am in Goth. Aud. 1, Gothersgade 140";"Title: ""The emergent logic of the Online Information Ecosystem"" AbstractThe first part of this presentation examines the emergent and sometimes paradoxical logic of the internet news ecosystem, in particular: (1) collectively, news diets have become far more concentrated in a small number of outlets; (2) however, individuals have relatively diverse news diets-- almost certainly far more diverse than was plausible pre-Internet (as measured by number of unique content producers); (3) the social-algorithmic curation system of the Internet tends to point people to content with their preferences, sometimes in unlikely places. The greater diversity of consumption of news measured by number of unique outlets may not actually result in diversity of content. The second part of the presentation will discuss the development of the National Internet Observatory, a large, NSF-supported effort to create a privacy-preserving data collection/data analytic system for the broader research community. BioDavid Lazer is University Distinguished Professor of Political Science and Computer Sciences, Northeastern University, faculty fellow at the Institute for Quantitative Social Science at Harvard, and elected fellow of the National Academy of Public Administration. He has published prominent work on computational social science, misinformation, democratic deliberation, collective intelligence, and algorithmic auditing, across a wide range of prominent journals such as Science, Nature, Proceedings of the National Academy of Science, and the American Political Science Review. His research has received extensive coverage in the media, including the New York Times, NPR, the Washington Post, and the Wall Street Journal. He is a co-leader of the COVID States Project, one of the leading efforts to understand the social and political dimensions of the pandemic in the United States. He is cofounder of the National Internet Observatory and Volunteer Science. Dr. Lazer has served in multiple leadership and editorial positions, including on the Standing Committee on Advancing Science Communication for the National Academies, the International Society for Computational Social Science, the International Network for Social Network Analysis, Social Networks, Network Science, and Science." "Future of HumAnIty";"The Pioneer Centre for AI, SODAS, GESDA - Geneva Science and Diplomacy Anticipator, Quantum For Life Center & UCPH Quantum Hub";"2023-06-20";"16:00";"2023-06-20";"17:30";"Niels K. Jerne, Blegdamsvej 3B (Mærsk Tårnet), 2200 København N";"Join Future of HumAnIty where experts and innovators discuss how AI, Quantum and other new technologies will impact our future and how we can proactively take charge. The event includes a Keynote Speech by former Under-Secretary-General of the United nations Michal Møller, and a Panel Discussion by Experts and Visioners. It all ends with a glass of cava. ";"Join Future of HumAnIty where experts and innovators discuss how AI, Quantum and other new technologies will impact our future and how we can proactively take charge. The event includes a Keynote Speech by former Under-Secretary-General of the United nations Michal Møller, and a Panel Discussion by Experts and Visioners. It all ends with a glass of cava. Keynote How do we remain in charge of our future? – The challenge of new technologies and other existential threats, Michael Møller, by former Under-Secretary-General of the United Nations. Against the backdrop of rapidly evolving new technologies, accelerating climate change, a changing world order and other existential threats, Møller raises the question of what humanity should do to stay in charge of its future. He will particularly look at the evolution of quantum, AI, human augmentation, geo-engineering, and other future technologies, all of which have the potential to change the fabric of humanity itself. He will interact with a diverse panel about how we can harness technology that, without the right control may threaten our very existence. The talk will be followed by a panel discussion with experts and visioners. About keynote speaker Michael Møller Møller was born in 1952 in Copenhagen, Denmark. He has over 40 years of experience in the UN and was for many years the highest-ranking Dane in the organisation. In his last post he served as Director-General of the UN’s Office in Geneva and as Secretary-General of the Conference of Disarmament. Møller is now a member of the Board of the Geneva Science and Diplomacy Anticipator Foundation (GESDA). The University of Copenhagen’s Quantum Hub is collaborating with GESDA on the future of quantum Technology. Furthermore, Møller is Senior Adviser to Macro Advisory Partners in London, Distinguished Fellow at the Geneva Graduate Institute in Geneva, Member of the Executive Board of the Kofi Annan Foundation, Member of the Board of One Young World, and member of the Advisory Boards of several other Foundations About the panel In addition to Michael Møller, the panel counts: Rebecca Adler-Nissen is a Professor in Political Science at the University of Copenhagen with a focus on international relations and diplomacy in the digital age, the relationship between off-line and online worlds and digital mis- and disinformation. Shefali Nandhra is MA Development Studies student at the Geneva Graduate Institute, specialising in sustainability. Founder & host of “the aspect:” podcast, forging the voice for a sustainable future. Frederik Ravn Clausen works on probabilistic problems in quantum science as a PhD student at University of Copenhagen and has broad interests in science and society. Moderator: Matthias Christandl, Professor for Quantum Information, UCPH. Sign up here." "PhD defence on ” Discursive Cartography: Computing and Interpreting Maps of Online Communication”";"SODAS";"2023-06-16";"15:00";"2023-06-16";"18:00";"CSS, Øster Farimagsgade 5a, room 1.1.12";"SODAS PhD student Thyge Ryom Enggaard will defend his dissertation "" Discursive Cartography: Computing and Interpreting Maps of Online Communication "" on Friday 16th June 15.00-18.00 CET.";"SODAS PhD student Thyge Ryom Enggaard will defend his dissertation ""Discursive Cartography: Computing and Interpreting Maps of Online Communication"" on Friday 16th June 15.00-18.00 CET. Title: Discursive Cartography: Computing and Interpreting Maps of Online Communication Date: 16th June 2023, 15:00-18:00 CET Zoom-link: https://ucph-ku.zoom.us/j/68168086760?pwd=RjhLbnJNRTlyRnhwNUtjS2M3T3cvUT09 Abstract: The use of computational models has become a promising and fairly established part of many social scientific approaches to analyzing texts. Fundamentally, however, the quantification involved in computation seems incompatible with how we naturally read and understand texts, including being insensitive to the many contexts surrounding the text. This dissertation contributes to the development and application of computational methods for exploratory discourse analysis, where researchers do not seek to test pre-established theories, but rather seek to learn about various properties of a given text, potentially with the aim of subsequently developing new theories. In particular, the dissertation advocates a cartographic approach to exploratory discourse analysis, in which the role of computational methods is two-fold. First, computational methods are used to track and model the associations between elements in the text, such as the associations between words or the ways authors are associated with words. These include counting and tracing selected associations, as well as embedding entire matrices of associations. Such computational methods are useful because they help characterize one particular context, namely the ways in which textual elements are used within the text itself. Second, computational methods are used to produce visual maps of the computed associations between textual elements. These maps serve as a compression of the modelled associations, that help facilitate the identification and interpretation of patterns in the text at hand. The strength of these maps is the ease with which they can be shared, discussed and criticized, within and outside a research project. Since a computational analysis of a text cannot restore the wider contexts that surround the text, the dissertation also experiments with how a cartographic approach to exploratory text analysis can be fused with (n)ethnographic observations of the wider settings in which the texts emerge." "Jeanne Commault, Sciences Po";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-06-12";"14:15";"2023-06-12";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Heterogeneity in MPCs Beyond Liquidity Constraints: The Role of Persistent Earnings"". Macroeconomics Seminar, arranged by the Department of Economics";"""Heterogeneity in MPCs Beyond Liquidity Constraints: The Role of Persistent Earnings"" Abstract Understanding the distribution of marginal propensities to consume (MPC) in the population is key to model the transmission of shocks and policies to the economy. Recent empirical findings are challenging the view that this distribution is mainly explained by liquidity constraints as: (i) many people with substantial liquid wealth have a high MPC; (ii) current earnings, which should relax the constraint, do not reduce the MPC. I note that a mechanism explaining (i)-(ii) is present in a standard life-cycle model with a transitory-permanent earnings process: when human capital is more risky than other assets, an increase in the permanent component scaling human capital strengthens precautionary behavior and raises the MPC. In survey data, this effect is present and large enough to explain (i)-(ii). Numerical simulations match the survey estimates when including a rich earnings process---which also raises the average MPC, to the same extent that illiquid wealth does. Contact person: Jeppe Druedahl" "Talk Series: Quantum meets society #3";"SODAS, Centre for Military Studies & Department of Political Science in collaboration with UCPH Quantum Hub ";"2023-06-07";"08:45";"";"10:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K ";"What really happens when quantum technology meet society? In this talk series, quantum scientists and social scientists from the University of Copenhagen meet to explore potentials, challenges, and missing links in the intersection of quantum technologies and social sciences. In this talk, we explore the opportunities and challenges when it comes to regulating Quantum in an international society.";"This talk is hosted in English. Quantum revolution 2.0 is looming, and it could change our society in ways we don't understand. Quantum computers, quantum mechanics and quantum communication are often presented as solutions to society's biggest challenges - green transition, health, security, etc. Currently, physicists, mathematicians and computer scientists are working intensively to develop the world's first fully functional quantum computer. The potential is enormous, but what actually happens when quantum technology meets society? What is quantum, and what will the relationship between quantum technology, people and societies be like? How will it affect international politics and security? And can we even regulate a limitless and abstract quantum technology? In this conversation series, quantum scientists and social scientists from the University of Copenhagen meet to explore potentials, challenges and missing links in intersection between quantum technology and society. The format is a curious armchair conversation - and there will be no such thing as ""stupid questions"". The talk of the day How can we govern and regulate Quantum? Klaus Mølmer (Professor, Quantum Optics) meets Kevin Jon Heller (Professor, International Law and Security) In the third talk of the series, we explore the opportunities and challenges when it comes to regulating Quantum in an international society. Registration is required: Register here We offer coffee and croissants from 8.45-9.00. Kristian Søby Kristensen, head of the Center for Military Studies and Rebecca Adler-Nissen, director of strategic partnerships, Social Data Science (SODAS), will introduce the talk. The talk series is organized by SODAS, Center for Military Studies & the Department of Political Science in collaboration with the UCPH Quantum Hub. Klaus Mølmer is a Professor in Quantoptics at Niels Bohr Instituttet (TBD). Kevin Jon Heller is a Professor of International Law and Security at The Centre for Military Studies (CMS), a research centre at the University of Copenhagen’s Department of Political Science. " "The Science of the Predicted Human talk series: Gillian Hadfield";"SODAS, DTU Compute & Pioneer Centre for Artificial Intelligence ";"2023-06-06";"09:00";"2023-06-06";"11:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host the Professor Gillian Hadfield (University of Toronto) for a talk in our series on The Science of the Predicted Human. Professor Hadfield is a celebrated scholar who is currently working on innovative designs for legal and regulatory systems for AI and other complex global technologies.";" We are delighted to host the Professor Gillian Hadfield (University of Toronto) for a talk in our series on The Science of the Predicted Human. Professor Hadfield is a celebrated scholar who is currently working on innovative designs for legal and regulatory systems for AI and other complex global technologies. Please join us for this event on June 6, 9am in Goth. Aud. 1, Gothersgade 140. TitleThe Future of AI Governance AbstractProgress in AI is moving faster than many of us expected and the challenge of ensuring AI is safe and beneficial is mounting. Existing legal and regulatory institutions, including pending legislation such as the E.U. AI Act, are unlikely to meet this challenge, raising the urgency of bold new thinking about how to regulate. In this talk, I'll discuss these challenges and present concrete proposals for new approaches to AI governance. About Gillian HadfieldGillian K. Hadfield, B.A. (Hons.) Queens, J.D., M.A., Ph.D. (Economics) Stanford, is Professor of Law, Professor of Strategic Management and holds the Schwartz Reisman Chair in Technology and Society at the University of Toronto and a CIFAR AI Chair at the Vector Institute. She is the inaugural Director of the Schwartz Reisman Institute for Technology and Society. Her current research is focused on innovative design for legal and regulatory systems for AI and other complex global technologies; computational models of human normative systems; and working with machine learning researchers to build ML systems that understand and respond to human norms. Professor Hadfield is a Faculty Affiliate at the Center for Human-Compatible AI at the University of California Berkeley and Senior Policy Advisor at OpenAI in San Francisco. Her book Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy was published by Oxford University Press in 2017; a paperback edition with a new prologue on AI was published in 2020 and an audiobook version released in 2021. The Predicted HumanBeing human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence. " "Tillmann Eymess, Heidelberg University";"Environmental Economics seminar arranged by the Department of Economics";"2023-06-05";"13:00";"2023-06-05";"14:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Perceived relative income and preferences for public good provision"". Environmental Economics seminar arranged by the Department of Economics";"""Perceived relative income and preferences for public good provision"" Abstract We formulate a theory of how perceived relative income affects preferences for public goods under decreasing marginal benefits and inequality aversion. In a randomized survey experiment with an Indian sample, we inform respondents of official income ranks and test our theory on preferences for air quality, including actual contributions to environmental initiatives. Right-wing supporters withdraw contributions when perceived relative income increases. The effect coincides with diminished health concerns and lower intentions to utilize private defensive measures. Despite similar reductions in health concerns, center-left respondents do not reduce contributions. A second survey experiment provides robustness using a novel treatment that exogenously shifts relative income perceptions. Contact person: Frikk Nesje" "SODAS Lecture: Personality in your Pocket - How to use Smartphones for Psychological Assessment";"SODAS";"2023-06-02";"11:00";"";"12:30";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"SODAS Lecture with Dr. Clemens Stachl, University of St. Gallen";"Title: Personality in your Pocket: How to use Smartphones for Psychological Assessment Abstract: The digitization of our society has brought about a paradigm shift in the way we engage with digital media, exchange information, and make decisions. This change has had a profound impact on the way social scientists collect data on human behavior and experience in the field. To address this challenge, a new form of data collection has emerged in the form of in-vivo high-frequency mobile sensing via smartphones. Mobile sensing enables researchers to investigate previously intangible psychological constructs with more objective data on behavior and environments. By collecting fine-grained, longitudinal data in real-world settings at a large scale, this approach has the potential to significantly advance our understanding of human behavior and experience. When combined with cutting-edge machine learning techniques, mobile sensing data can provide direct predictions of psychological traits and behavioral outcomes. In this talk, I will provide a comprehensive overview of our work that combines machine learning and mobile sensing, exploring the opportunities and limitations of this innovative approach. Additionally, I will offer a discerning perspective on the implications of the routine use of mobile psychological sensing for research and society. Bio: Clemens Stachl is Associate Professor of Behavioral Science and Director of the Institute of Behavioral Science and Technology at the University of St. Gallen. Prior to assuming his faculty position in Switzerland he worked on postdoc positions at the Department of Communication at Stanford University and at the Department of Psychology at the University of Munich. His research is focused on the investigation of behavioral-psychological phenomena through a technological lens. Specifically, he uses data from consumer electronics (e.g., smartphones) and social media to study how psychological traits (e.g., personality), states (e.g., affect) and psychological processes (e.g., person-situation interaction) are reflected in digital traces of everyday behavior and how these data can be used to study these phenomena. Additionally, he is concerned with the implications for individuals, groups, and societal structures that might arise from the widespread use of computational and algorithmic systems in our daily lives." "Talk: Initial Progress on the Science of Science by Dashun Wang";"SODAS & the Pioneer Centre for Artificial Intelligence";"2023-06-01";"15:00";"2023-06-01";"16:30";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"The increasing availability of large-scale datasets that trace the entirety of the scientific enterprise, have created an unprecedented opportunity to explore scientific production and reward. In this talk, I’ll highlight some examples of research in this area, hoping to illustrate the promise of science of science as well as its limitations.";"Initial Progress on the Science of Science The increasing availability of large-scale datasets that trace the entirety of the scientific enterprise, have created an unprecedented opportunity to explore scientific production and reward. Parallel developments in data science, network science, and artificial intelligence offer us powerful tools and techniques to make sense of these millions of data points. Together, they tell a complex yet insightful story about how scientific careers unfold, how collaborations contribute to discovery, and how scientific progress emerges through a combination of multiple interconnected factors. These opportunities—and challenges that come with them—have fueled the emergence of a multidisciplinary community of scientists that are united by their goals of understanding science and innovation. These practitioners of the science of science use the scientific methods to study themselves, examine projects that work as well as those that fail, quantify the patterns that characterize discovery and invention, and offer lessons to improve science as a whole. In this talk, I’ll highlight some examples of research in this area, hoping to illustrate the promise of science of science as well as its limitations. This talk is co-hosted by Professor Roberta Sinatra and Professor Sune Lehmann About Dashun Wang Dashun Wang is a Professor of Management and Organizations at the Kellogg School of Management and the McCormick School of Engineering, Northwestern University, where he is the Founding Director of the Center for Science of Science and Innovation (CSSI). He is best known for his contributions on the Science of Science, a quest to turn the scientific methods and curiosities upon science itself. His research has been published in journals like Nature and Science, and has been featured in virtually all major global media outlets. Dashun is a recipient of multiple awards for his research and teaching, including the AFOSR Young Investigator award, Poets & Quants Best 40 Under 40 Professors, Thinkers50 Radar 2021, Top scientific awards from the Complex Systems Society, German Physical Society, and Network Science Society, including the Erdos-Renyi Prize, and more. Check out his first book: The Science of Science (available on Amazon | Download for free). Join via Zoom Participate online via the following Zoom link (no longer available)." "Elisa Rubbo, Booth School of Business, University of Chicago";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-05-30";"09:00";"2023-05-30";"10:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Monetary non-neutrality in the cross-sectionMonetary non-neutrality in the cross-section"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Monetary non-neutrality in the cross-section"" Abstract This paper derives the cross sectional effects of monetary policy on employment and consumption in a model economy where heterogeneous agents earn and spend their income in different industries. Agents are characterized by their labor type, consumption preferences, wage rigidity and labor supply elasticity. Industries hire different bundles of labor types and capital assets, and face heterogeneous price rigidity and demand elasticity. In response to a monetary expansion, goods that have stickier prices or use supply-elastic factors (or whose inputs have sticky prices or use supply-elastic factors...) become cheaper, thereby raising the relative demand and employment of the workers who produce them. In the aggregate, the ability of producers and consumers to substitute towards sticky-price or supply-elastic goods increases monetary non-neutrality. Calibrating the model to the US economy, and interpreting labor types as different occupations, reveals significant heterogeneity in the impact response of employment to monetary policy, which varies from 0.25 (food services) to 1.1 (construction) for a 1increase in nominal GDP. Ignoring input-output linkages would reduce the cross-sectional range from 0.86 to 0.35. Contact person: Jeppe Druedahl" "Talk: Examining Validity of ML Systems in the Public Sphere by Rediet Abebe";"The Pioneer Centre for Artificial Intelligence, DTU Compute and SODAS";"2023-05-24";"15:00";"2023-05-24";"17:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K.";"We are delighted to host Professor Rediet Abebe (University of California, Berkeley) for a talk in our series on The Science of the Predicted Human. Professor Abebe's research builds a scientific foundation for understanding the interactions of algorithms and inequality.";"Examining Validity of ML Systems in the Public Sphere We are delighted to host Professor Rediet Abebe (University of California, Berkeley) for a talk in our series on The Science of the Predicted Human. Professor Abebe's research builds a scientific foundation for understanding the interactions of algorithms and inequality. About Rediet Abebe Rediet Abebe is an Assistant Professor at University of California, Berkeley where she leads the Berkeley Equity and Access in Algorithms, Mechanisms, and Optimization research group. Rediet Abebe is also a Junior Fellow at the Harvard Society of Fellows and an Andrew Carnegie Fellow. Much of Abebe's work studies algorithms and inequality, a research area that she has pioneered and is contributing to the foundation of. Before joining the faculty at University of California, Berkeley, Rediet Abebe did her Ph.D. with Jon Kleinberg at Cornell University. She also holds degrees in mathematics from the University of Cambridge and from Harvard University." "Emil Chrisander defends his PhD thesis at the Department of Economics";"Department of Economics";"2023-05-24";"13:00";"2023-05-24";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is: Essays on Student Behavior: Peer Conflicts, Honesty, and School Choice.";"Candidate: Emil Chrisander, Department of Economics, University of Copenhagen Title: Essays on Student Behavior: Peer Conflicts, Honesty, and School Choice Supervisors: Associate Professor Andreas Bjerre-Nielsen Professor David Dreyer Lassen Assessment Committee: Associate Professor Miriam Wüst, Department of EconomicsAssociate Professor Rustamdjan Hakimov, University of LausanneProfessor Tommy Andersson, Lund University Summary: This dissertation explores student behavior in three self-contained chapters. Student behavior is an important topic because it influences adolescence and adult life for good or for worse. This dissertation analyses two types of student behavior: peer conflicts and choice of education. These are relevant policy topics because i) students involved in peer conflicts have worse life prospects than students who do not take part in peer conflicts, and ii) students’ choice of education partly determines their future wealth and opportunities. The first chapter is an empirical analysis of why students’ admission behavior to higher education does not correspond to expectations from standard economic theory. This chapter contributes to the growing body of research that shows unexpected non-truthful admission behavior. Our findings inform policymakers on how to design admission systems, and in particular how to mitigate adverse conse- quences of non-truthful reporting. The second chapter is an empirical analysis of the causal relationship between a sibling’s birth order and her risk of peer conflicts in school. This is a relevant question because peer conflicts are harmful to students and birth order is an observable condition which enable schools and policy makers to act. The third and final chapter is a theoretical analysis that proposes a novel feature to a popular mechanism for admission systems. The feature allows students to partially reveal valuable private information to colleges. This is important work because it addresses problems of efficiency and fairness that can occur if public available information about students does not reveal students’ preparedness for a study program. E.g., a student’s math score from high school may not be a good indicator for preparedness to study artwork. It is relevant for policies related to the design of admission systems and two-sided markets with information frictions. " "Lena Hensvik, Uppsala University";"CoLab seminar arranged by the Department of Economics";"2023-05-23";"13:15";"2023-05-23";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""How can AI improve search and matching? Evidence from 59 million personalized job recommendations"". CoLab seminar arranged by the Department of Economics.";"""How can AI improve search and matching? Evidence from 59 million personalized job recommendations"" Contact person: Kristoffer Balle Hvidberg " "Adrien Bilal, Harvard University";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-05-22";"14:15";"2023-05-22";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Anticipating Climate Change Across the United States"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Anticipating Climate Change Across the United States"" Abstract We study the role of anticipation and adaptation in determining the aggregate and local cost of climate change. We develop a dynamic spatial model of the U.S. economy divided into over 3,000 counties that features costly forward-looking migration and capital investment decisions. Climate change affects capital depreciation and productivity. Recent methodological advances that leverage analytic perturbations of the ‘Master Equation’ representation of the economy make the model tractable. We estimate event studies that trace out the local impact of floods, storms, and heat waves over the 20th century on productivity and capital depreciation. We estimate structural damage functions by matching these reduced-form results. Our findings show, first, that climate impacts on capital depreciation are a substantial source of climate damages. They magnify the U.S. aggregate welfare costs of climate change twofold to nearly 3% for workers and 8% for capitalists in the business-as-usual warming scenario. Second, anticipation of future climate damages has small aggregate effects but reduces climate-induced worker mobility as workers foresee the persistence in the location of capital investments. Third, migration reduces substantially the variance in the welfare impact of climate change across counties but affects aggregate welfare damages only marginally since the location of climate damages is uncorrelated with current local development. Joint with Esteban Rossi-Hansberg Contact person: John Vincent Kramer " "Ulrich Wagner, University of Mannheim";"Environmental Economics seminar arranged by the Department of Economics";"2023-05-22";"13:00";"2023-05-22";"14:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Urban Air Pollution and Sick Leaves: Evidence from Social Security Data"". Environmental Economics seminar arranged by the Department of Economics";"""Urban Air Pollution and Sick Leaves: Evidence from Social Security Data"" Abstract We estimate the impact of air pollution on work days lost among workers affiliated to Spain’s universal sickness-leave insurance. We find that a 10% reduction in pollution reduces sick leaves by 0.8% of the mean. This effect is larger among workers with pre-existing medical conditions. Our estimates imply that improvements in urban air quality between 2005 and 2014 reduced worker absence by 5.6 million days, saving €0.5 billion in foregone production. We argue that this is a naive estimate of the underlying health impact because it does not account for shirking and presenteeism. We exploit within-worker variation in job security which shifts incentives for such behaviors, independently of pollution shocks, to identify their effect on sick-leave taking. We find evidence of shirking on low-pollution days, which biases the pollution-absence gradient towards zero among workers with high job security. Accounting for this doubles our estimate of work days lost due to air pollution. Contact person: Frikk Nesje" "Talk Series: Quantum meets society #2";"SODAS, Centre for Military Studies & Department of Political Science in collaboration with UCPH Quantum Hub ";"2023-05-17";"08:30";"";"10:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"What really happens when quantum technology meet society? In this talk series, quantum scientists and social scientists from the University of Copenhagen meet to explore potentials, challenges, and missing links in the intersection of quantum technologies and social sciences. In this talk, we explore the challenges and opportunities of quantum technology related to international politics and security.";"This talk is hosted in English. Quantum revolution 2.0 is looming, and it could change our society in ways we don't understand. Quantum computers, quantum mechanics and quantum communication are often presented as solutions to society's biggest challenges - green transition, health, security, etc. Currently, physicists, mathematicians and computer scientists are working intensively to develop the world's first fully functional quantum computer. The potential is enormous, but what actually happens when quantum technology meets society? What is quantum, and what will the relationship between quantum technology, people and societies be like? How will it affect international politics and security? And can we even regulate a limitless and abstract quantum technology? In this conversation series, quantum scientists and social scientists from the University of Copenhagen meet to explore potentials, challenges and missing links in intersection between quantum technology and society. The format is a curious armchair conversation - and there will be no such thing as ""stupid questions"". The talk of the day How will quantum technologies affect international politics and security? Gemma C. Solomon (professor in chemistry) meets Ole Wæver (professor of international politics). In the second talk of the series, we explore the challenges and opportunities of quantum technology related to international politics and security. Registration is required: Register here We offer coffee and croissants from 8.30-8.45. Kristian Søby Kristensen, head of the Center for Military Studies and Rebecca Adler-Nissen, director of strategic partnerships, Social Data Science (SODAS), will introduce the talk. The talk series is organized by SODAS, Center for Military Studies & the Department of Political Science in collaboration with the UCPH Quantum Hub. Gemma Clare Solomon Larsen is a professor at the Department of Chemistry at the University of Copenhagen and among the world's leading researchers in the field of quantum interference. Together with her research team, she has, via advanced calculations, made ground-breaking discoveries in the field of destructive quantum interference, where you can 'turn off' an electric current with the help of individual molecules. Ole Wæver is professor of international politics at the Department of Political Science at the University of Copenhagen and founder of the research centers CAST (Centre for Advanced Security Theory, head 2008-2013) and CRIC (Research Center for the resolution of international conflicts, center head 2013-). Internationally, he is particularly known for creating the security theoretical concept ""securitization"" and as one of the originators of the so-called ""Copenhagen School"" in research into international politics. " "SODAS Data Discussion 12 May 2023";"SODAS";"2023-05-12";"11:00";"2023-05-12";"12:30";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"Data Discussion with Hjalmar Bang Carlsen and August Lohse ";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Hjalmar Bang Carlsen, Assistant Professor, Department of Sociology, Lund University and SODAS, UCPH. Title: The democratic consequences of platform design: How/If Facebook reactions changed participation in politics - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: August Lohse, PhD, SODAS, UCPH. Title: Responsiveness through social media: Are politicians expressed (issue) priorities driven by social media feedback?" "Mikkel Bennedsen, Aarhus Universitet";"Econometrics seminar arranged by the Department of Economics";"2023-05-10";"14:00";"2023-05-10";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""A New Statistical Reduced Complexity Climate Model"". Climate Econometrics seminar arranged by the Department of Economics";"""A New Statistical Reduced Complexity Climate Model"" Abstract In this paper, we propose a new, fully statistical, reduced complexity climate model. The starting point for our model is a number of physical equations for the global climate system, which we show how to cast in non-linear state-space form. We propose to estimate the model using the method of maximum likelihood obtained from the extended Kalman filter. In an empirical exercise, we use a data set of historical observations from 1959–2019 to estimate the parameters of the model. A likelihood ratio test sheds light on the most appropriate equation for converting the atmospheric concentration of carbon dioxide (GtC) into radiative forcings (W/m2). We use the estimated model and assumptions on future greenhouse gas emissions to project global mean surface temperature out to the year 2100. As an application of the statistical model, we propose a simulation-based approach to construct uncertainty bands to the projections, and use these to quantify how much of the uncertainty is “aleatoric” (uncer- tainty arising from the internal variability of the climate system) and how much is “epistemic” (uncertainty arising from unknown model parameters). (Co-authered med Eric Hillebrand og Siem Jan Koopman) Contact person: Rasmus Søndergaard" "Dalia Ghanem, University of California";"Climate Econometrics seminar arranged by the Department of Economics";"2023-05-09";"14:00";"2023-05-09";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""On model selection criteria for climate change impact studies"". Climate Econometrics seminar arranged by the Department of Economics";"""On model selection criteria for climate change impact studies"" Abstract Climate change impact studies inform policymakers on the estimated damages of future climate change on economic, health and other outcomes. In most studies, an annual outcome variable is observed, e.g. agricultural yield, along with a higher-frequency regressor, e.g. daily temperature. Applied researchers then face a problem of selecting a model to characterize the nonlinear relationship between the outcome and the high-frequency regressor to make a policy recommendation based on the model-implied damage function. We show that existing model selection criteria are only suitable for the policy objective if one of the models under consideration nests the true model. If all models are seen as imperfect approximations to the true nonlinear relationship, the model that performs well in the normal climate conditions is not guaranteed to perform well at the projected climate that is different from the historical norm. We therefore propose a new criterion, the proximity-weighted mean-squared error (PWMSE), that directly targets precision of the damage function at the projected future climate. To make this criterion feasible, we assign higher weights to prior years that can serve as weather analogs to the projected future climate when evaluating competing models using the PWMSE. We show that our approach selects the best approximate regression model that has the smallest weighted error of predicted impacts for a projected future climate. A simulation study and an application revisiting the impact of climate change on agricultural production illustrate the empirical relevance of our theoretical analysis. Contact person: Anders Rahbek" "Andreas Schaab, Toulouse School of Economics";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-05-08";"14:15";"2023-05-08";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Monetary and Fiscal Policy According to HANK-IO"". Macroeconomics Seminar, arranged by the Department of Economics";"""Monetary and Fiscal Policy According to HANK-IO"" Abstract This paper studies monetary and fiscal policy transmission in a multi-sector heterogeneous-agent New Keynesian model with an input-output network (“HANK-IO”). We document systematic household-sector linkages in micro data and calibrate our model to match them. To identify when these linkages have implications for policy transmission, we analytically characterize an as-if benchmark that features a strict decoupling between household and sectoral heterogeneity. Away from this benchmark, novel earnings and expenditure heterogeneity channels emerge that govern the propagation of demand and supply shocks. We develop a new decomposition that allows us to isolate and compute the contributions of distinct dimensions of heterogeneity to overall policy transmission. The contribution of earnings and expenditure heterogeneity channels in the transmission to aggregates is small, confirming the quantitative relevance of our as-if benchmark. In the cross section, we characterize the distributional consequences of monetary and fiscal policy across households and sectors. Contact person: John Vincent Kramer" "The Science of the Predicted Human talk series: Dean Eckles";"SODAS, DTU Compute & Pioneer Centre for Artificial Intelligence ";"2023-05-08";"10:00";"2023-05-08";"12:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Professor Dean Eckles (Massachusetts Institute of Technology) for a talk in our series on The Science of the Predicted Human. Professor Eckles's work examines how interactive technologies affect human behavior, especially by mediating social influence.";"We are delighted to host Professor Dean Eckles (Massachusetts Institute of Technology) for a talk in our series on The Science of the Predicted Human. Professor Eckles's work examines how interactive technologies affect human behavior, especially by mediating social influence.Please join us for this event on May 8, 10am in Goth. Aud. 1, Gothersgade 140.TitleLong ties: Formation, social contagion, and economic outcomes AbstractNetwork structure can affect when, where, and how widely new ideas, products, and behaviors are adopted. Classic work in the social sciences has emphasized that ""long ties"" provide access to novel and advantageous information. In our empirical work, we show how particular life events (migration, education) are associated with forming long ties and how having long ties is associated with beneficial economic outcomes. Counties in the United States with more long ties (and more strong long ties) have higher incomes, lower unemployment, and more economic mobility, even after adjusting for other measures of social connections. These stylized facts are consistent with some models of contagion. In widely-used models of biological contagion, interventions that randomly rewire edges (generally making them ""longer"") accelerate spread. However, there are other models relevant to social contagion, such as those motivated by myopic best-response in games with strategic complements, in which individuals adopt if and only if the number of adopting neighbors exceeds a threshold. Recent work has argued that highly clustered, rather than random, networks facilitate spread of these ""complex contagions"". Here we show that minor modifications to this model, which make it more realistic, reverse this result: we allow very rare below-threshold adoption, i.e., rarely adoption occurs when there is only one adopting neighbor. In a version of ""small world"" networks, allowing adoptions below threshold to occur with order 1/√n probability — even only along some ""short"" cycle edges — is enough to ensure that random rewiring accelerates spread. Hypothetical interventions that randomly rewire existing edges or add random edges (versus adding ""short"", triad-closing edges) in hundreds of empirical social networks reduce time to spread. About Dean EcklesDean Eckles is a social scientist and statistician. At the Massachusetts Institute of Technology, Dean Eckles is the Mitsubishi Career Development Professor, an associate professor in the Sloan School of Management, and affiliated faculty at the Institute for Data, Systems & Society in the Schwarzman College of Computing. Much of his research examines how interactive technologies affect human behavior, especially by mediating social influence. He also works on methods for inferring cause–effect relationships and on applied statistics more generally. Dean Eckles’s empirical work uses observational studies and field experiments involving hundreds of millions of people. His papers appear in Journal of the American Statistical Association, Proceedings of the National Academy of Sciences, Nature, Science, Management Science, and other peer-reviewed journals and proceedings in statistics, computer science, and marketing. He is co-organizer of the Conference on Digital Experimentation (CODE@MIT) and serves as associate editor for two departments at Management Science. He was previously a scientist at Facebook and Nokia and completed five degrees, including his PhD, at Stanford University. The Predicted HumanBeing human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence." "The Science of the Predicted Human talk series: Johan Ugander";"SODAS, DTU Compute & Pioneer Centre for Artificial Intelligence";"2023-05-04";"10:00";"2023-05-04";"12:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Professor Johan Ugander (Stanford University) for a talk in our series on The Science of the Predicted Human. Professor Ugander's empirical and methodological work leverages the unique measurement opportunities created by the internet and digitization to study social networks and human behavior in previously unprecedented ways.";"We are delighted to host Professor Johan Ugander (Stanford University) for a talk in our series on The Science of the Predicted Human. Professor Ugander's empirical and methodological work leverages the unique measurement opportunities created by the internet and digitization to study social networks and human behavior in previously unprecedented ways.Please join us for this event on May 4, 10am in Goth. Aud. 1, Gothersgade 140.TitleHarvesting randomness to understand computational social systemsAbstractModern social systems are increasingly infused with algorithmic components, designed to optimize various objectives under diverse constraints. Examples include school choice mechanisms to assign students to schools, peer review matching systems to assign papers to reviewers, or targeting strategies in social networks to seed product adoptions. In many such systems (and in all of these examples), such algorithms are commonly randomized, motivated by fairness, strategic, or efficiency considerations. In this talk, I will describe general principles for how such randomness can be harvested to make causal inferences not only about the effects of these systems on various outcomes, but also how the system would behave under alternative algorithmic designs. By applying these methods to computational social systems, we can gain a deeper understanding of the ways in which these systems operate and their impact on individuals and society as a whole. The talk will incorporate joint work over several years with Alex Chin, Dean Eckles, Yuchen Hu, Steven Jecmen, Samir Khan, Martin Saveski, and Nihar Shah.About Johan UganderJohan Ugander is an Associate Professor of Management Science & Engineering at Stanford University and a member of Stanford's Institute for Computational and Mathematical Engineering. His research primarily focuses on statistical and computational methods for studying social networks, human behavior, and their interplay. Prior to joining the Stanford faculty he was a postdoctoral researcher at Microsoft Research 2014-2015 and held an affiliation with the Facebook Data Science team 2010-2014. He obtained his Ph.D. in Applied Mathematics from Cornell University in 2014, with prior degrees from the University of Cambridge and Lund University. His awards include a 2022 NSF CAREER Award, a 2018 Young Investigator Award from the Army Research Office (ARO), a 2016 Facebook Faculty Award, the 2016 Eugene L. Grant Undergraduate Teaching Award from the Department of Management Science & Engineering, and multiple best paper awards.The Predicted HumanBeing human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence." "Zeuthen Workshop on Child Health and Public Policy";"Center for Economic Behavior and Inequality (CEBI)";"2023-05-03";"";"2023-05-04";"";"University of Copenhagen, Building 26: room 26.2.21, Øster Farimagsgade 5, DK-1353 Copenhagen";"Professor Janet from Princeton University Currie will give three lectures on “Economics of Children”";"This year’s Zeuthen lecturer at the University of Copenhagen is Professor Janet Currie (Princeton University). Professor Currie will give three lectures on “Economics of Children” on 2-4 May 2023. In connection with the Zeuthen lectures, Center for Economic Behavior and Inequality (CEBI) at the University of Copenhagen is organizing this workshop on “Child Health and Public Policy” on 3-4 May 2023. While the workshop takes place on 3-4 May, we encourage participants to arrive on May 2 and attend the first lecture by Professor Currie in the afternoon. Participation is free of charge and includes registration, lunch, refreshments, and a workshop dinner. Zeuthen Lecture & Workshop programme 2023 Have a look at the exciting program here. Call for papers We invite submission of papers for presentation at the workshop. Submissions by junior researchers are particularly encouraged. We welcome theoretical and empirical papers on the economics of children. Examples of suitable topics include: Child mental health, education, and productivity Pollution and child health Inequalities in child health Public policies to promote child health Important dates Submission of paper: 1 March 2023 Notification of acceptance: 27 March 2023 Registration: 7 April 2023 Submission of paper Please submit your paper via this form. Workshop registration for presenting participants Please register your participation in the workshop via this form. Workshop registration for non-presenting participants Please be aware that there is a limited number of seats for non-presenting participants. Unfortunately, we will not be able to accept everyone. After April 12, we will inform you about whether our capacity makes it possible that you can attend the workshop as a non-presenter. Please register your participation in the workshop via this form. " "Inaugural Lecture: Professor Roberta Sinatra ";"SODAS";"2023-04-28";"14:00";"2023-04-28";"16:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K & SODAS Conference Room, Øster Farimagsgade 5A, building 1, first floor, room 1.1.12";"To celebrate her appointment as Professor at the Copenhagen Center for Social Data Science at the University of Copenhagen, Roberta Sinatra will give her inaugural lecture on 28th April at 14:00 PM, followed by a reception";"To celebrate her appointment as Professor at the Copenhagen Center for Social Data Science at the University of Copenhagen, Roberta Sinatra will give her inaugural lecture on 28th April, followed by a reception The inaugural lecture will take place at the Gothersgade Auditorium 1 (Gothersgade 140, 1123 København K) from 14.00 PM - 15.00 PM and will be followed be a reception from 15.00 - 16.00 at the SODAS Conference room (CSS, Øster Farimagsgade 5A, building 1, first floor, room 1.1.12). The lecture and reception are open to all, and we hope to see many of you there! If you are unable to join the lecture physically you can participate online by following this zoom-link: https://ucph-ku.zoom.us/j/66997655464 Title:An interdisciplinary journey through Networks, Data, and SocietyAbstract: The emergence of computational social science has been made possible by the unprecedented availability of large and diverse datasets on various aspects of human activity, behavior, and knowledge, made feasible by the explosion of digital technologies and the internet. In this inaugural lecture, I will describe my research journey in computational social science, from my early studies in physics to my current work as a full professor at the University of Copenhagen. I will discuss how I have applied methods and tools from physics and computer science to study a wide range of social phenomena, and how my work has contributed to our understanding of human behavior and society. My research is motivated by the belief that computational methods can provide unique insights into the underlying mechanisms of social phenomena, and that interdisciplinary approaches can help bridge the gap between different fields of research. I will discuss how I have applied network science, machine learning, and statistics to study diverse topics, such as scientific collaboration, human mobility, and creativity. Throughout the talk, I will emphasize the interdisciplinary nature of my research, and highlight the challenges and opportunities that arise when applying computational methods to study social phenomena. I will also discuss some of the current and future directions of my research program, and the potential impact of computational social science on our understanding of human behavior and society. Bio:Roberta Sinatra is Professor in Computational Social Science at the University of Copenhagen, and holds visiting positions at IT University of Copenhagen (ITU), ISI Foundation (Turin, Italy) and Complexity Science Hub (Vienna, Austria). She co-founded the NEtwoRks, Data, and Society (NERDS) Research group at ITU and is a co-lead of the pioneer centre for AI in Copenhagen. Her research is at the forefront of network science, data science, and computational social science. Roberta did her BSc, MSc and PhD in Physics at the University of Catania, Italy. Her research has been published in top-tier venues like Nature and Science, and has been featured in The New York Times, Forbes, The Economist, The Guardian, The Washington Post, among other major media outlets. Her research has been awarded the Complex Systems Society Junior prize, the DPG Young Scientist Award for Socio- and Econophysics, and a Villum Young Investigator grant." "Talk with Vito Latora: Dynamical processes in systems with higher order interactions";"SODAS, the Pioneer Centre for Artificial Intelligence, NERDS Group at IT University of Copenhagen";"2023-04-27";"15:00";"";"";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Professor Vito Latora will discuss the use and implications of such systems with higher order interactions.";"Title Dynamical Processes in systems with higher order interactions. Abstract Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterise social contagion processes, such as the formation of opinions or the adoption of novelties in social systems, all cases where more complex mechanisms of influence and reinforcement are at work. I will first present a higher-order model of social contagion in which a social system is represented by a simplicial complex and contagion can occur through interactions in groups of different sizes [1]. The model shows the emergence of a discontinuous phase transition, a novel phenomenon induced by the presence of higher-order interactions, and of a bistable region where healthy and endemic states co-exist. This result can have practical implications, because it can help explaining why critical masses are required to initiate social changes. I will then discuss other examples of significant effects of higher-order interactions in social processes, showing how interactions in groups of different sizes affects the evolution of cooperation [2,3] or the stability of synchronised states in simplicial complexes of coupled dynamical systems [4] Online participation If you are unable to join the lecture physically you can participate online by following this zoom-link: https://ucph-ku.zoom.us/j/64030382673?pwd=dHc4Ym1IbW8zdnYyQlljak1iTkNXdz09 Passcode: 487301. Bio Vito Latora is Professor of Applied Mathematics, Chair of Complex Systems and Head of the Complex Systems and Networks Group at the School of Mathematical Sciences of Queen Mary University of London. He is also Professor of Theoretical Physics at the University of Catania and External Faculty of the Complexity Science Hub of Vienna. His research deals with several aspects of complex systems, from fundamental aspects of their structure and dynamics to interdisciplinary applications integrating physics and mathematics with social and biological sciences. Vito's recent interests are in modelling dynamical processes on multiplex and temporal networks, and on higher-order structures, such as simplicial complexes and hypergraphs. Vito is currently collaborating with neuroscientists and anthropologists to understanding the network components of creativity, innovation and success. References [1] Lacopini, L., Petri, G., Barrat, A. & Latora, V. 2019. ""Simplicial models of social contagion"". Nat Commun 10, 2485. DOi: https://doi.org/10.1038/s41467-019-10431-6 [2] Alvarez-Rodriguez, U., Battiston, F., de Arruda, G.F. et al. 2021. ""Evolutionary dynamics of higher-order interactions in social networks"". Nat Hum Behav 5, 586–595. DOI: https://doi.org/10.1038/s41562-020-01024-1 [3] Civilini, A., Sadakar O., Battiston F. et al. 2023. ""Explosive cooperation in social dilemmas on higher-order networks"". DOI: https://doi.org/10.48550/arXiv.2303.11475 [4] Gambuzza, L.V., Di Patti, F., Gallo, L. et al. 2021. ""Stability of synchronization in simplicial complexes"". Nat Commun 12, 1255. DOI: https://doi.org/10.1038/s41467-021-21486-9" "Talk Series: Quantum meets society #1";"SODAS, Centre for Military Studies & Department of Political Science in collaboration with UCPH Quantum Hub ";"2023-04-26";"08:30";"";"10:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"What really happens when quantum technologies meet society? In this talk series, quantum scientists and social scientists from the University of Copenhagen meet to explore potentials, challenges, and missing links in the intersection of quantum technologies and social sciences. In the first talk of the series, we explore quantum technology in a societal context; What exactly is quantum? And how can we expect society to relate to the new quantum technologies?";"This talk is hosted in Danish. Quantum revolution 2.0 is looming, and it could change our society in ways we don't understand. Quantum computers, quantum mechanics and quantum communication are often presented as solutions to society's biggest challenges - green transition, health, security, etc. Currently, physicists, mathematicians and computer scientists are working intensively to develop the world's first fully functional quantum computer. The potential is enormous, but what actually happens when quantum technology meets society? What is quantum, and what will the relationship between quantum technology, people and societies be like? How will it affect international politics and security? And can we even regulate a limitless and abstract quantum technology? In this conversation series, quantum scientists and social scientists from the University of Copenhagen meet to explore potentials, challenges and missing links in intersection between quantum technology and society. The format is a curious armchair conversation - and there will be no such thing as ""stupid questions"". The talk of the day How does society understand and engage with quantum technology? Matthias Christandl (professor of mathematics and quantum information) meets Rebecca Adler-Nissen (professor of international politics). In the first talk of the series, we explore quantum technology in a societal context; What exactly is quantum? And how can we expect society to relate to the new quantum technologies? Introduction by Vice President David Dreyer Lassen. Registration is required: Register here We offer coffee and croissants from 8.30-8.45. Kristian Søby Kristensen, head of the Center for Military Studies and Rebecca Adler-Nissen, director of strategic partnerships, Social Data Science (SODAS), will introduce the conversation. The talk series is organized by SODAS, Center for Military Studies & the Department of Political Science in collaboration with the UCPH Quantum Hub. Matthias Christandl is a Professor at the Department of Mathematical Sciences (University of Copenhagen), Center Leader of the Quantum for Life Center funded by the Novo Nordisk Foundation and co-PI of the VILLUM Foundation research centre QMATH, the Centre for the Mathematics of Quantum Theory. He is also head of UCPH Quantum Hub, a cross-departmental and cross-faculty collaborative initiative. Rebecca Adler-Nissen Is a researcher in international politics, diplomacy, digital technologies and the EU. Currently focusing on the relationship between confidential international negotiations, the public and social media. Rebecca Adler-Nissen leads the ERC-funded research project DIPLOFACE and the research group Digital Disinformation, which is supported by the Carlsberg Foundation. She is director of strategic partnerships at Social Data Science (SODAS) at the Faculty of Social Sciences and is the recipient of the EliteForsk award in 2019. " "(I-MPC) International - Macro People of Copenhagen (Spring 2023)";"Department of Economics and Center for Economic Behavior and Inequality (CEBI), University of Copenhagen.";"2023-04-21";"13:30";"2023-04-21";"17:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Macroeconomics Workshop, arranged by Department of Economics and Center for Economic Behavior and Inequality (CEBI), University of Copenhagen.";"Program: 13:30 - 14:30 - Morten Ravn (UCL), ""Financial Frictions: Micro vs. Macro Volatility""14:30 - 14:45 - Coffee break14:45 - 15:45 - Silvia Miranda-Agrippino (Bank of England), “The Aggregate Consequences of Overreaction”15:45 - 16:00 - Coffee break16:00 - 17:00 - Christian Bayer (Bonn), “Das Sein bestimmt das Bewußtsein: Attitudes towards fiscal policy according to HANK2” Contact person: Jeppe Druedahl (+45 30 25 46 92)." "SODAS Lecture: Immigration and Social Distance - Evidence from Newspapers during the Age of Mass Migration";"SODAS";"2023-04-21";"11:00";"2023-04-21";"12:30";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"SODAS lecture with Dr. Gloria Gennaro, University College London";"Title: Immigration and Social Distance: Evidence from Newspapers during the Age of Mass Migration Abstract: A constant of human history is the migration of peoples in search of a better future. In destination countries, these new arrivals come into contact with both the host population as well as already established immigrant communities. How does the arrival of new immigrants affect the perception of outgroup distance among the native majority group? And do new arrivals also change the perceived distance between the host population and existing immigrant groups? We address these questions in the context of the Age of Mass Migration (1860-1920), a period during which sizeable and diverse groups of migrants arrived on U.S. shores. Applying advanced computational linguistics techniques to a newly processed corpus of over 1.8 million newspaper issues (9 million pages) published by 3,675 local outlets in that period, we present a novel text-based measure of perceived socio-cultural distance between U.S.-born natives and 32 immigrant groups. For each mention of an immigrant group, we compute a distance measure that captures whether the group's framing more closely resembles contexts used when portraying immigrants, rather than natives. We use this time- and county-varying outcome to analyse the short- and medium-term effects of immigration inflows on local perceptions of socio-cultural distance toward the arriving and existing immigrant groups. Bio: Gloria Gennaro is an Assistant Professor in Public Policy and Data Science at University College London. Previously she was a postdoctoral fellow at the Public Policy Group and Immigration Policy Lab in Zurich. She holds a Ph.D. in Social and Political Sciences from Bocconi University. Her research in comparative political economy explores political behaviour in democratic societies, using causal inference and computational social science." "The Science of the Predicted Human talk series: Joshua Blumenstock ";"DTU Compute, Pioneer Centre for Artificial Intelligence & SODAS";"2023-04-19";"13:30";"2023-04-19";"15:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Joshua Blumenstock (UC Berkeley) for a talk in our series on The Science of the Predicted Human. His research combines econometrics, machine learning and network science to explore the application of predictive algorithms for improving social programs, the spread of information online and much more.";"We are delighted to host Joshua Blumenstock (UC Berkeley) for a talk in our series on The Science of the Predicted Human. His research combines econometrics, machine learning and network science to explore the application of predictive algorithms for improving social programs, the spread of information online and much more. Please join us for this event on April 19 at 1330-1500 in Goth. Aud. 1, Gothersgade 140.TitleTargeting Social Assistance with Machine Learning Abstract Targeting is a central challenge in the design of anti-poverty programs: given available data, how does one rapidly identify the individuals and families with the greatest need? Here we show that machine learning, applied to non-traditional data from satellites and mobile phones, can improve the targeting of anti-poverty programs. Our analysis is based on data from three field-based projects -- in Togo, Afghanistan, and Kenya -- that illustrate the promise, as well as some of the potential pitfalls, of this new approach to targeting. Collectively, the results highlight the potential for new data sources to improve humanitarian response efforts, particularly in crisis settings when traditional data are missing or out of date. About Joshua BlumenstockHe is a Chancellor’s Associate Professor at the U.C. Berkeley School of Information and the Goldman School of Public Policy. He is the Co-director of the Global Policy Lab and the Center for Effective Global Action. Blumenstock does research at the intersection of machine learning and empirical economics, with a focus on how novel data can better address the needs of poor and marginalized people around the world. He has a Ph.D. in Information Science and a M.A. in Economics from U.C. Berkeley, and Bachelor’s degrees in Computer Science and Physics from Wesleyan University. He is a recipient of awards including the NSF CAREER award, the Intel Faculty Early Career Honor, and the U.C. Berkeley Chancellor's Award for Public Service. His work has appeared in general interest journals including Science, Nature, and PNAS, as well as top economics journals (e.g., AER) and computer science conferences (e.g., ICML, KDD, AAAI, WWW, CHI)." "Claire Montialoux, UC Berkeley";"CoLab seminar arranged by the Department of Economics";"2023-04-18";"13:15";"2023-04-18";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Racial Inequality, Minimum Wage Spillovers, and the Informal Sector"". CoLab seminar arranged by the Department of Economics.";"""Racial Inequality, Minimum Wage Spillovers, and the Informal Sector"" Abstract This paper studies how a national minimum wage affects wages, and in particular, racial earnings disparities in a middle-income country with a large informal sector. Our context is the Brazilian economy, characterized by persistently large racial disparities and the availability of detailed labor force surveys and administrative matched employer-employee data with information on race. We analyze the effect of large increases in the minimum wage that occurred between 1999 and 2009. Using a variety of research designs and identification strategies, we obtain three main findings. First, the increase in the minimum wage erased the racial earnings gap up to the 10th percentile of the national wage distribution and up to the 30th percentile in the lowest wage region, the Northeast. Second, there is no evidence of significant reallocation of workers from the formal sector to the informal sector. This can be explained by the fact that the minimum wage is de-facto binding in the informal sector (excluding agriculture, domestic workers, and the self-employed). Third, we do not find evidence of significant dis-employment effects, or of white-nonwhite labor-labor substitution. As a result, the minimum wage increases of the 2000s led to a large decline in the economy-wide racial income gap in Brazil. Contact person: Daphné Jocelyne Skandalis" "The Science of the Predicted Human talk series: Professor Shannon Vallor";"DTU Compute, Pioneer Centre for Artificial Intelligence & SODAS";"2023-04-17";"10:00";"";"";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Professor Shannon Vallor (University of Edinburgh) for a talk in our series on The Science of the Predicted Human in collaboration with DTU Compute and the Pioneer Centre for Artificial Intelligence";"We are delighted to host Professor Shannon Vallor (University of Edinburgh) for a talk in our series on The Science of the Predicted Human. Professor Vallor's research explores the philosophy and ethics of emerging science and technologies, not least Artificial Intelligence. Please join us for this event on April 17, 10am in Goth. Aud. 1, Gothersgade 140.TitleThe Machine Mirror: Human Prediction and Reflection in AIAbstract Would you ever try to chart your path up a dangerous, unfamiliar mountain while looking in a mirror facing behind you? Today’s AI technologies are marketed as the key to predicting and navigating humanity’s uncertain future in a time of crisis. Yet are these new tools clear windows into our future, or are they looking-glass reflections of our past? Can they ever show us what we and our societies can become, where we might go anew, or what is possible for humanity to accomplish together for the first time? In the face of growing planetary and civilizational challenges that require letting go of the unsustainable ways of the past, humanity’s most urgent task is to embrace and renew our capacities for self-creation, moral imagination and above all, wisdom. AI too has a vital role to play in that task – if we have the courage to reclaim, rethink and rebuild these technologies in the name of humane futures.About Shannon VallorShannon Vallor's research investigates how human character is being transformed by rapid advances in artificial intelligence, robotics, new social media, surveillance, and biomedical technologies. She holds the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the University of Edinburgh's Edinburgh Futures Institute, where she directs the Centre for Technomoral Futures. She is also appointed as Professor in Philosophy. Before coming to University of Edinburgh, Vallor was the William J. Rewak Professor at the Department of Philosophy, Santa Clara University in Silicon Valley and also served as an AI ethicist and visiting research scientist at Google. Shannon Vallor is currently working on a new book entitled The AI Mirror: Rebuilding Humanity in an Age of Machine Thinking.The Predicted HumanBeing human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence." "Jonathan Leisner defends his PhD thesis at the Department of Economics";"Department of Economics";"2023-04-14";"14:00";"2023-04-14";"16:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is ""Essays in Environ mental Economics: Technology, Trade and the Labour Market"".";"Candidate Jonathan Leisner, Department of Economics, University of Copenhagen Title Essays in Environ mental Economics: Technology, Trade and the Labour Market Supervisors Professor Jakob Roland MunchProfessor Peter Birch Sørensen Assessment Committee Professor Bertel Schjerning Department of Economics Associate Professor Joel Rodrigue Department of Economics, Vanderbilt University Associate Professor Jevan Cherniwchan Carleton University, Department of Economics Summary The dissertation consists of four self-contained chapters that answer research questions within the field of environmental economics, and more specifically, climate change economics. As the title of the thesis suggests, the research questions are quite distinct Chapter one is purely methodological, chapter two and three are purely empirical and chapter four is somewhere in-between. They all have a common goal however: Provide answers to questions that are policy relevant within the sphere of climate change economics. The breadth of the questions is mirrored in the breadth of the methods applied: The first chapter develops a method for incorporating engineering data on technologies in computable general equilibrium models. The second chapter uses instrumental variables regressions from the international trade literature to estimate causal effects using firmlevel micro data. The third chapter presents descriptive statistics on emissions, firms and workers across seven European countries. Finally, the fourth chapter extends a dynamic discrete choice general equilibrium model, performs a structural estimation using linked worker-firm data and simulates a counterfactual policy experiment where a sector-specific greenhouse gas tax gradually increases. En elektronisk kopi af afhandlingen kan rekvireres her: Pia.Vestergaard@econ.ku.dk " "SODAS Data Discussion 14 April 2023";"SODAS";"2023-04-14";"11:00";"2023-04-14";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"Data Discussion with Jonas L. Juul and Louis Boucherie";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Louis Boucherie, PhD student at the Technical University of Denmark and SODAS affiliate Title: To be or not to bereal Abstract: BeReal is an innovative social media application that captures authentic, spontaneous moments in users' daily lives through geolocated photos and selfies. In this presentation, we will provide an overview of how BeReal operates, analyze the rich dataset generated by its user base, and discuss the potential applications of this data in various fields. BeReal works by sending a notification at a random time of the day, requesting users to take a photo of their surroundings and a selfie. These images, accompanied by geolocation data, are then shared with friends and followers on the platform. The idea is that the moments captured are genuine and unfiltered, offering a unique glimpse into users' lives. By analyzing BeReal's data, we can uncover fascinating patterns and trends related to human behavior. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: Jonas L. Juul, Carlsberg Fellow postdoc at the Technical University of Denmark and SODAS affiliate Title: The dynamics of writing style in scientific publishing Abstract: When two scientists write a paper together, does their joint writing style represent some average of their individual writing styles? Do some scientists impact the future writing style of their collaborators? In what way? Writing style can be quantified using statistical methods from stylometry. One important application of stylometry is author attribution: Determining the most likely author of an anonymous text. Whereas many stylometric methods have been developed to match texts with likely authors, little is known about the writing style in collaborations. Using a corpus of millions of scientific abstracts, their authors and meta data about papers and authors, we seek to quantify the dynamics of writing style in scientific publishing. Ideas for questions, methods and further data is much appreciated.Joint work in progress with Jon Kleinberg, Cornell University." "Luigi Bocola, Stanford University";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-04-03";"14:15";"2023-04-03";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Macroeconomics of Trade Credit"". Macroeconomics Seminar, arranged by the Department of Economics";"""The Macroeconomics of Trade Credit"" Abstract In most countries, suppliers of intermediate goods and services are also the main providers of short-term financing to firms. This paper studies the macroeconomic implications of these financial links. In our model, trade credit is the outcome of a long-term contract between firms linked in the production process, and it is sustained in equilibrium by reputation forces as customers lose the relationship with their suppliers in case of a default. These financial links give rise to a credit multiplier: suppliers can enforce repayment of these IOUs, and they can discount these bills with banks to obtain liquidity. This process can either dampen or amplify the output effects of financial shocks, depending on the borrowing capacity of suppliers. Using Italian data, we find that the credit multiplier is sizable and show that trade credit amplified the output costs of the Great Recession by 45%. Contact person: Søren Hove Ravn" "PhD defence on ""Biases in Natural Language Processing""";"SODAS";"2023-03-31";"15:30";"2023-03-31";"18:30";"CSS, Øster Farimagsgade 5a, room 1.1.02";"SODAS PhD student Terne Sasha Thorn Jakobsen will defend her dissertation ""Biases in Natural Language Processing"" on Friday 31st March 15.30-18.30 CET";"SODAS PhD student Terne Sasha Thorn Jakobsen will defend her dissertation ""Biases in Natural Language Processing"" on Friday 31st March 15.30-18.30 CET Title: Biases in Natural Language Processing Date: 31st March at 15.30-18.30 CET Zoom-link: https://ucph-ku.zoom.us/j/64782787189?pwd=L1lJQXV1eUJ0d0dRWDFzM0VNK0FHUT09 Abstract: ”In recent years, Machine Learning and Natural Language Processing (NLP) systems have been found to discriminate against minority groups in many aspects, albeit showing high performance on popular benchmarks. The thesis examines challenges of evaluation and data collection protocols that may result in biased systems and overestimated real-world performance. We studied spurious correlations in an Argument Mining system that aimed to recognise arguments (and generalise) across several debating topics but succeeded to do so due to spurious correlations, that were not reflected through standard evaluation protocols. We then re-annotated data for this same task with four annotation guidelines and by annotators of different gender identities and political beliefs, finding indications of socio-demographic annotator bias, the extend to which depended on the annotation guidelines. Following these findings, we experimented with a change in the annotation guideline, aiming to reduce annotator bias, and finding this to be a highly complex aim. Through the experiments, we gained new perspectives on annotator bias and we propose a method for recognising individual annotators’ biases without the need for large sample sizes. We extended the knowledge of annotator bias phenomena to popular model explainability methods, recognising that current approaches to benchmarking model explanations – that are often used to detect spurious correlations and unfair patterns – might hold some of the same issues of bias. We re-annotated data for sentiment classification and common-sense reasoning tasks, with socio-demographically diverse annotator information, and present preliminary results indicating that the current benchmarking approach disfavours minority groups. Lastly, since peer-review for NLP conferences has been criticised for its arbitrariness and biases, we conducted surveys of authors’, reviewers’ and editors’ issues and ideals, and we provide actionable recommendations for improving peer-review. Collectively, these studies bring new insights to the role of bias in text data for NLP, and they contribute with new data that enable further research of bias and fairness of NLP systems, of explainability methods and of conference peer-review.” The defence takes place in CSS 1.1.02 and is followed by a reception in CSS 1.1.12." "SODAS Lecture: Estimating the replicability of research findings in psychology - From manuscript text";"SODAS";"2023-03-31";"11:00";"2023-03-31";"12:30";"CSS, Øster Farimagsgade 5, SODAS conference room 1.1.12";"SODAS Lecture with Dr. Youyou Wu, University College London";"Title: Estimating the replicability of research findings in psychology - From manuscript text. Abstract: The replication crisis is one of the biggest headaches in many empirical disciplines and particularly in Psychology. Scholars are eager to distinguish robust findings from irreplicable ones. Our research team conducted the first discipline-wide replication census. We trained a machine learning model to estimate a paper’s likelihood of replication from the text in its manuscript. The model was applied to more than 14,000 papers, covering nearly all papers published in six top-tier Psychology journals over the past 20 years. The algorithm-estimated replicability could be used to prioritise expensive manual replications of certain studies, accelerating the goal of (re)building a solid literature base. Bio: Dr Youyou Wu is an Assistant Professor at University College London (UCL), Faculty of Education and Society (IOE), Department of Psychology and Human Development. She has a PhD degree in Psychology from the University of Cambridge. Dr Wu mainly studies personality expression in the digital space, using computational methods like machine learning and natural language processing. Her most prominent work shows that personalities inferred from people’s Facebook profiles are more accurate than judgements made by friends. As a psychologist of this generation, she is also drawn to metascience and methodology, and particularly reproducibility. She is interested in predicting replication outcomes before an actual replication takes place. Her work has appeared in journals like PNAS, Nature Communications, and Psychological Science. Her research has been covered by global outlets like BBC, New York Times, and the Economist. " "Joshua Farley, University of Vermont";"Environmental Economics seminar arranged by the Department of Economics";"2023-03-30";"14:00";"2023-03-30";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Ecological versus Environmental Economics – Where Do We Stand?"". Environmental Economics seminar arranged by the Department of Economics.";"""Ecological versus Environmental Economics – Where Do We Stand?"" Abstract Ecological Economics is concerned with determining the environmentally sustainable material scale of the economy and ensuring a fair and efficient allocation of economic resources. Ecological Economics sees the economy as being embedded in the larger Earth system and the individual as being embedded in society. It emphasizes the importance of the laws of thermodynamics for economic analysis and draws on insights from the science of ecology as well as from other natural and social sciences. Joshua Farley is the co-author with Herman Daly of a leading textbook on Ecological Economics. In this lecture Professor Farley will lay out the key principles and objectives of Ecological Economics and explain where it differs from and where it overlaps with mainstream Environmental Economics. Contact person: Peter Birch Sørensen" "CANCELLED! Dmitry Mukhin, London School of Economics";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-03-27";"14:15";"2023-03-27";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Optimal Exchange Rate Policy"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Optimal Exchange Rate Policy"" Abstract We develop a general policy analysis framework that features nominal rigidities and financial frictions with endogenous PPP and UIP deviations. The goal of the optimal policy is to balance output gap stabilization and international risk sharing using a mix of monetary policy and FX interventions. The nominal exchange rate plays a dual role. First, it allows for the real exchange rate adjustments when prices are sticky, which are necessary to close the output gap. Monetary policy can eliminate the output gap, but this generally requires a volatile nominal exchange rate. Volatility in the nominal exchange rate, in turn, limits the extent of international risk sharing in the financial market with risk averse intermediaries. Optimal monetary policy closes the output gap, while optimal FX interventions eliminate UIP deviations. When the rst-best real exchange rate is stable, both goals can be achieved by a xed exchange rate policy — an open-economy divine coincidence. Generally, this is not the case, and the optimal policy requires a managed peg by means of a combination of monetary policy and FX interventions, without requiring the use of capital controls. We explore various constrained optimal policies, when either monetary policy or FX interventions are restricted, and characterize the possibility of central bank’s income gains and losses from FX interventions. Joint with Oleg Itskhoki Contact person: Morten Graugaard Olsen" "Celine Poilly, Aix-Marseille University";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-03-06";"14:15";"2023-03-06";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Regional Trade Policy Uncertainty"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Regional Trade Policy Uncertainty"" Abstract This paper studies trade policy uncertainty at the regional level. First, we propose an empirical measure of regional trade policy uncertainty, based on the volatility of national import tariffs at the sectoral level and the sectoral composition of imports in US states. We show that a region which is more exposed to an unanticipated increase in tariff volatility suffers from a drop in real output and employment, relative to the average US state. Then, we build a regional open economy model to investigate the transmission channels of trade policy uncertainty shocks. In the presence of nominal rigidities, the interaction of households' precautionary savings and monopolists' precautionary pricing explains the magnitude of the measured recessionary effects of increased trade policy uncertainty. Our model highlights the amplification of these effects in regions most integrated in international trade through a higher import share and export intensity. Joint with Fabien Tripier. Contact person: John Vincent Kramer" "Hanna Berkel defends her PhD thesis at the Department of Economics";"Department of Economics";"2023-03-03";"15:00";"2023-03-03";"17:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"The title of the thesis is 'Informality and Firms Essays in Development Economics'.";"Candidate Hanna Berkel, Department of Economics, University of Copenhagen Title Informality and Firms Essays in Development Economics Supervisors Professor Finn TarpProfessor John Rand Assessment Committee Professor Thomas Markussen Department of Economics Associate Professor Simon Quinn, University of Oxford Senior Lecturer Smriti Sharma Newcastle University Summary This PhD dissertation consists of four self-contained chapters in the field of development economics. They examine informal manufacturing firms in Mozambique and Myanmar. Chapter 1: Informality and Firm Performance in Myanmar – with Finn TarpUsing a unique panel survey of enterprises, we examine the relationship between four categories of formalization and firm productivity. We carry out one- and twostep productivity estimations whose robustness we check with matching and doubly robust estimators. The only formalization category that appears to be significantly associated with productivity is tax formalization, i.e. a firm’s decision to pay taxes. This positive association only holds for firms that were already more productive and bigger before formalizing than other informal firms. The reason for the insignificanceof the remaining three categories is likely to be the insignificant association between formalization and potential benefits of formalization, such as more access to credit, employees, and investments. High taxes and fees linked to formalization seem to outweigh the few to non-existent intermediate benefits of formalization. Chapter 2: Firm Formality. Multi-method evidence from MozambiqueThis study examines the effects of formality on firms in Mozambique, and explains why these effects do or do not exist. Considering the complex reality in which firms operate, I construct an informality index. My methodology relies on a series of standard econometric estimations of the effects of formality, complemented by innovative qualitative evidence. It emerges that bigger firms are the ones to reap the benefits of formality, while smaller firms face a complex combination of challenges. This implies that they are often unable to benefit from formality. Challenges includethe many additional requirements besides having a formality status in itself. Chapter 3: Local governance quality and law compliance: The case of Mozambican firms – with Christian Estmann and John RandIn sub-Saharan Africa, many micro and small enterprises do not (or at least only partially) comply with official rules and regulations. Given that low compliance rates impede economic growth and human development, it is essential to identify mechanisms that can help improve abidance with laws. This paper investigates how the quality of governance (defined as comprising three dimensions: transparency, legal security and infrastructure quality) is related to firm-level compliance with business laws and regulations in the case of Mozambique. We utilise firms’ subjective perceptions of governance quality and their self-reported law compliance over time to study the governance–compliance nexus, taking into account unobserved firm-level heterogeneity. Furthermore, we examine whether political legitimacy acts as a mediator or a moderator between governance and compliance. Our results suggest that perceived improvements in transparency positively affect firms’ compliance with existing legislation. Requests from provincial government officials for firms to comment on local regulations seem to be especially important for law abidance. We find that legitimacy is independently associated with compliance, but does not seem to mediate or moderate the quality of governance. Overall, our results suggest that, even in one of the least developed and non-democratic parts of the world, active participation in political processes is positively associated with law compliance. Chapter 4: Cash Grants and Firm Recovery after Natural Disasters: RCT Evidence from Mozambique – with Peter Fisker and Finn TarpIn March 2019, Cyclone Idai hit central Mozambique, causing widespread destruction. We aim to understand whether financial constraints hamper the recovery of micro enterprises in manufacturing after the cyclone. For this purpose, we provide cyclone-affected and unaffected enterprises with unconditional cash grants. We find that our cash grants had very small effects on firm financial outcomes. Our findings build on panel data sampled using a stratified adaptive cluster sampling approach in two urban settings where one (Beira) was more intensely affected by Cyclone Idaithan the other (Chimoio). While the effect of the cash grant was larger among more affected firms, the control group seems to have also recovered well, without special access to credit. En elektronisk kopi af afhandlingen kan rekvireres her: Pia.Vestergaard@econ.ku.dk " "Matthias Meier, University of Mannheim";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-02-27";"14:15";"2023-02-27";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Systematic Monetary Policy and the Effects of Government Spending"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Systematic Monetary Policy and the Effects of Government Spending"" Abstract We propose an identification design for the effects of systematic monetary policy which is based on (i) a narrative account of the FOMC members' policy preferences, and (ii) a novel instrument that exploits the FOMC's mechanical rotation of voting rights. Using our identification design, we estimate the causal effects of systematic monetary policy for the transmission of government spending shocks. We find that the fiscal spending multiplier is significantly above one when the FOMC is dovish, whereas the multiplier can be negative under a hawkish FOMC. Joint with Lukas Hack and Klodiana Istrefi. Contact person: Jeppe Druedahl" "PhD defence on ""Research in the Era of Social Media""";"SODAS";"2023-02-24";"14:00";"2023-02-24";"18:00";"CSS 35.01.05";"SODAS PhD student Yangliu Fan will defend her dissertation ""Research in the Era of Social Media: Communities, Methodologies & Author Trajectories"" on Friday 24th February ";"SODAS PhD student Yangliu Fan will defend her dissertation ""Research in the Era of Social Media: Communities, Methodologies & Author Trajectories"" on Friday 24th February Title: RESEARCH IN THE ERA OF SOCIAL MEDIA: COMMUNITIES, METHODOLOGIES & AUTHOR TRAJECTORIESDate: 24 February at 14-18 CET Yangliu Fan's thesis explores the scientific system using tools from network science and natural language processing, with a specific focus on the social media data-based research community. By analyzing a curated dataset of 12,732 research articles using social media data, it sheds new light on the changes in intellectual structures, advancements in methodology, and the evolution of career trajectories. The findings of this thesis provide new insights into the impact of big social data on science and science studies. Besides, the thesis offers novel methods for enhancing bibliometric cluster analysis, interdisciplinarity analysis, method detection, and author mobility analysis. The defence takes place in CSS 35.01.05 and is followed by a reception in CSS 1.1.12. Online participation is possible via zoom: https://ucph-ku.zoom.us/j/65418564599?pwd=M0p5Y2djVjcya0NKYVRlcFQxNEtNdz09 (passcode: 182408)." "Phillip Heiler, Department of Economics and Business Economics - CREATES";"Econometrics seminar arranged by the Department of Economics";"2023-02-23";"13:30";"2023-02-23";"14:45";"CSS, Øster Farimagsgade 5, Building 35 (Faculty Lounge 3rd Floor), 1353 Kbh K";"Econometrics seminar arranged by the Department of Economics.";"""Causal Inference under Sample Selection and Missing Data: Co-teacher Intervention Effects on Adolescent Mental Health"" Abstract This paper is concerned with identification, estimation, and specification testing in causal inference problems when data is selective and/or missing. We leverage recent advances in the literature on graphical and counterfactual methods to provide a unifying framework to jointly study these issues. The approach integrates and connects to prominent model, identification, and testing strategies in the literature on missing data, causal machine learning, panel data analysis, and more. We demonstrate its utility in the context of identification and specification testing in sample selection models and field experiments with attrition. We provide a novel analysis of a large scale cluster-randomized control trial in grade 6 from Denmark using a combination of administrative and survey data. Results suggest that co-teachers provide an effective way of improving student’s internalizing behavior. Joint with: Helena Skyt Nielsen, Louise Beuchert and Simon Calmar Andersen Read more about Phillip Heiler Contact person: Jesper Riis-Vestergaard Sørensen" "Talk with James Evans: Designing Diversity for Sustained Innovation";"SODAS & the Pioneer Centre for Artificial Intelligence ";"2023-02-23";"10:30";"2023-02-23";"12:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We at SODAS are very exited to welcome James Evans, Max Palevksy Professor of Sociology, to give this very interesting talk on ""Designing Diversity for Sustained Innovation"" ";"Title Designing Diversity for Sustained Innovation Abstract The wisdom of crowds hinges on the independence and diversity of their members’ information and approach. Here I explore how the wisdom of scientific, technological, business, and civic crowds for sustained discovery, invention, and cooperation operate through a process of collective abduction wherein unexpected findings or conflicts stimulate innovators to forge new insights to make the surprising unsurprising. Drawing on tens of millions of research papers and patents across the life sciences, physical sciences and inventions, as also interactions between diverse collaborating groups, I show that surprising designs and discoveries are the best predictor of outsized success and that surprising advances systematically emerge across, rather than within researchers or teams; most commonly when innovators from one field surprisingly publish or share problem-solving results to an audience in a distant and diverse other. This relates to other research I summarize that shows how across innovators, teams and fields, connection and conformity is associated with reduced replication and impeded innovation. Using these principles, I simulate processes of knowledge search to demonstrate the relationship between crowded fields and constrained collective inferences, and I illustrate how inverting the traditional approach to artificial intelligence approach, to avoid rather than mimic human search, enables the design of diversity that systematically violates established field boundaries and is associated with marked success of predicted innovations. I conclude with a discussion of prospects and challenges in a connected age for sustainable innovation through the design and preservation of difference in science and society. BioJames Evans is the Max Palevksy Professor of Sociology, Director of Knowledge Lab, and Founding Faculty Director of Computational Social Science at the University of Chicago and the Santa Fe Institute. Evans' research uses large-scale data, machine learning and generative models to understand how collectives think and what they know. This involves inquiry into the emergence of ideas, shared patterns of reasoning, and processes of attention, communication, agreement, and certainty. Thinking and knowing collectives like science, Wikipedia or the Web involve complex networks of diverse human and machine intelligences, collaborating and competing to achieve overlapping aims. Evans' work connects the interaction of these agents with the knowledge they produce and its value for themselves and the system. Evans designs observatories for understanding that fuse data from text, images and other sensors with results from interactive crowd sourcing and online experiments. Much of Evans' work has investigated modern science and technology to identify collective biases, generate new leads taking these into account, and imagine alternative discovery regimes. He has identified R&D institutions that generate more and less novelty, precision, density and robustness. Evans also explores thinking and knowing in other domains ranging from political ideology and misinformation to popular culture. His work has been published in Nature, Science, PNAS, and many other top social and computer science " "Katinka Holtsmark, University of Oslo";"Environmental Economics seminar arranged by the Department of Economics";"2023-02-16";"13:00";"2023-02-16";"14:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Greening Oil: Optimal Extraction During the Transition from Coal to Renewables"". Environmental Economics seminar arranged by the Department of Economics";"""Greening Oil: Optimal Extraction During the Transition from Coal to Renewables"" Abstract What is the optimal and climate-friendly usage of oil during the green transition? In the short term, more oil can replace coal. For the longer term, however, oil extraction should be reduced to motivate investments in renewables. The difference leads to a time inconsistency problem: If a climate-friendly coalition of oil producers cannot commit to the long-term decline, the attempt to replace coal will be anticipated and investments in renewables will be reduced. In this case, the coalition can do more harm than good. To mitigate this problem, the oil producers must tax or reduce investments in the capacity to extract oil even more than they would have done under commitment. Contact persons: Peter Kjær Kruse-Andersen and Frikk Nesje." "Gustavo de Souza, Chicago FED";"Macroeconomics Seminar, arranged by the Department of Economics";"2023-02-15";"14:15";"2023-02-15";"15:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Fiscal Consequences of Active Labour Market Policies: The Case of Quota for Disabled Workers"". Macroeconomics Seminar, arranged by the Department of Economics";"""The Fiscal Consequences of Active Labour Market Policies: The Case of Quota for Disabled Workers"" Abstract Expenditure with disability insurance has been on the rise in all developed countries. To reduce disability insurance expenditure, the Brazilian government mandated firms with more than 100 workers to have from 2% to 5% of their labor force filled by disabled workers. In this paper I ask: What is the effect of disabled workers' quota on the government's revenue and disabled insurance expenditure? I start with a model of labor force participation with disabled workers. Disabled workers have higher labor supply disutility, lower productivity, and receive disability insurance if not working. I show on the model that the relative productivity of disabled workers can be identified by the effect of the quota on firms while the disutility of disabled workers can be identified by the aggregate effect of the quota on wages. I use administrative data on inspections of the disabled quota to identify how hiring disabled workers affected firms and estimate the productivity of disabled workers. As a response to the inspection, firms reduce their growth rate and wages, even of non-disabled employees. Using regional variation to the disability quota, I also find that the quota increased the wage of disabled workers by 4.1% and labor force participation by 16.5%. From these results, the fiscal efficiency of this policy is cast in doubt. It reduced costs with disability insurance but also reduced revenue from payroll taxes. Contact person: John Vincent Kramer" "SODAS Data Discussion 10 February 2023";"SODAS";"2023-02-10";"11:00";"2023-02-10";"12:30";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.1.12";"Data Discussion with Natalia Umansky and Jeremy Spater";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Natalia Umansky, University of Zurich Title: Spreading like wildfire: The securitization of the Amazon rainforest fires on Twitter Abstract: As a tool of political communication and information diffusion, social media has transformed the process of securitization, allowing (in)security messages to spread and scale up rapidly. Focusing on the case of the Amazon rainforest fires in 2019, this article seeks to answer two questions: How does securitization spread in online networks? And who are the actors that contribute to the diffusion of security messages? To explore this puzzle, the study develops a dictionary of query terms and performs a full-archive search to collect tweets posted between June and October 2019 and reconstruct the communication network of over three million users. Drawing from theories of online activism and research on information diffusion in networks, the study uses both the structure of the Twitter network and the dynamics of activity in message exchange to identify four types of users and explore their roles in the spread of the message. The findings shed new light on the ways in which social media facilitates the definition of security problems and provide empirical evidence of the prominent position of influence taken by lay actors in the process of securitization. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: Jeremy Spater, Department of Political Science, University of Oslo Title: Measuring Segregation and Individual Outgroup Exposure: The k-Nearest-Neighbors Metric Abstract: What is the connection between physical space and interpersonal interaction? This question is of interest for understanding, among other things, how inter-group segregation affects ethnic conflict. We explore this question using geocoded network data and simulations. We develop two metrics – one of individual outgroup exposure, and one of area-level aggregate segregation – based on geocoded individual locations. Drawing on an original network census, we demonstrate that our exposure metric, the k-nearest-neighbors score, accurately reflects social contact, which conditions intergroup relations. Moreover, we find that this exposure metric is a better proxy for social contact than two current measures. Next, we demonstrate that the segregation metric, the mean of the k-nearest-neighbors score, is an accurate measure of aggregate residential segregation. We use a simulation approach to demonstrate that the proposed aggregate segregation metric can more accurately discriminate between segregated and integrated areas than two commonly-used existing metrics. Finally, we apply exponential random graph models (ERGM) to the network data to explore how different dimensions of interpersonal contact -- which we characterize along social, economic, and political dimensions -- vary differently across space. The results have implications for how changing residential patterns are likely to impact prospects for intergroup cooperation along the various dimensions." "The Science of the Predicted Human talk series: Professor César A. Hidalgo";"DTU Compute, Pioneer Centre for Artificial Intelligence & SODAS";"2023-02-09";"10:00";"2023-02-09";"13:00";"Goth. Aud. 1, Gothersgade 140, 1123 København K";"We are delighted to host Professor César A. Hidalgo (Universities of Toulouse, Manchester, and Harvard) in collaboration with DTU Compute and the Pioneer Centre for Artificial Intelligence";"We are delighted to host Professor César A. Hidalgo (Universities of Toulouse, Manchester, and Harvard) in collaboration with DTU Compute and the Pioneer Centre for Artificial Intelligence for this year's first talk in the DTU Compute series on The Science of the Predicted Human. Professor Hidalgo is a celebrated scientist who has made several seminal works, ran his own lab at MIT between 2010 and 2019 before moving to Europe, founded a company and authored three books. Please join us for this event on February 9, 10am in Goth. Aud. 1, Gothersgade 140. TitleHow time, technology, and language impact collective memory and attention AbstractFrom writing to the web, humans have used communication technologies to enhance our collective memory. Yet, much of what was once popular is now forgotten. In this talk, I will present research exploring the roles played by time, language, and technologies on the dynamics of collective memory and attention. Using data on the attention received by biographies, scientific papers, songs, and movies, we will explore the universal decay of collective memory, the role played by languages in global fame, and the biases in attention and collective memory introduced by changes in technology. About César A. HidalgoCésar A. Hidalgo is a Chilean-Spanish-American scholar known for his many contributions to economic complexity, data visualization, and applied artificial intelligence. Hidalgo leads the Center for Collective Learning at the Artificial and Natural Intelligence Institute (ANITI) of the University of Toulouse. He is also an Honorary Professor at the University of Manchester and a Visiting Professor at Harvard's School of Engineering and Applied Sciences. Between 2010 and 2019 Hidalgo led MIT’s Collective Learning group. Prior to working at MIT, Hidalgo was a research fellow at Harvard’s Kennedy School of Government. Hidalgo is also a founder of Datawheel, an award-winning company specializing in the creation of data distribution and visualization systems. He holds a Ph.D. in Physics from the University of Notre Dame and a Bachelor's in Physics from Universidad Católica de Chile. His contributions have been recognized with numerous awards, including the 2018 Lagrange Prize and three Webby Awards. He is also the author of three books: Why Information Grows (Basic Books, 2015), The Atlas of Economic Complexity (MIT Press, 2014), and How Humans Judge Machines (MIT Press, 2021). Suggested readingsCandia, Cristian, et al. ""The universal decay of collective memory and attention."" Nature human behaviour (2019) Ronen, Shahar, et al. ""Links that speak: The global language network and its association with global fame."" Proceedings of the National Academy of Sciences (2014) Jara-Figueroa, C., Amy Z. Yu, and César A. Hidalgo. ""How the medium shapes the message: Printing and the rise of the arts and sciences."" PloS one (2019) Yu, Amy Zhao, et al. ""Pantheon 1.0, a manually verified dataset of globally famous biographies."" Scientific data 3.1 (2016) The Predicted HumanBeing human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence." "Florencia Airaudo, Universidad Carlos lll (Job Market Seminar)";"Department of Economics";"2023-01-26";"14:00";"2023-01-26";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Exit Strategies from Quantitative Easing: the role of the fiscal-monetary policy mix"" Abstract As a consequence of the policy responses to the COVID-19 crisis, central bank balance sheets, public debt, and liquidity increased in many developed economies. As the economies recover and inflation far exceeds the target, central banks face a challenge in how to manage their balance sheet. I study the macroeconomic effects of reducing the central bank balance sheet size, i.e., Quantitative Tightening (QT). I construct a Regime-Switching New Keynesian DSGE model calibrated to the US economy. The economy fluctuates between a monetary-led regime, a fiscally-led regime, and the zero lower bound on the monetary policy interest rate. The macroeconomic effects of QT crucially depend on the fiscal-monetary policy mix. In a monetary-led regime, QT effectively reduces inflation at the cost of increasing the government debt-to-GDP ratio. In contrast, unwinding the central bank balance sheet in a fiscally-led regime has little impact on inflation. The negative demand effect driven by QT is not enough to counteract the stimulative impact of negative real interest rates and fiscal stimulus. Contact person: Søren Hove Ravn" "Pauline Carry, Center for Research in Economics and Statistics (Job Market Seminar) ";"Department of Economics";"2023-01-23";"14:00";"2023-01-23";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""The Effects of the Legal Minimum Working Time on Workers, Firms and the Labor Market"" Abstract This paper provides new evidence on how firms and workers adjust to a restriction on low-hour jobs. I exploit a unique reform introducing a minimum workweek of 24 hours in France in 2014 affecting 15% of jobs. Drawing on linked employer-employee data and an event study design, I find a firm-level reduction in the number of jobs and an increase in average hours per worker. Overall, total hours worked in the firm decreased significantly, showing imperfect substitutability between workers and hours. The effects differ by gender: part-time female workers were replaced by full-time male workers. Importantly, reduced-form evidence indicates the reallocation of workers from firms highly exposed to the policy to firms less exposed. To quantify the aggregate impact taking into account these effects, I build and estimate a search and matching model with heterogeneous workers and firms. I find that the minimum workweek destroyed 1% of jobs but no effect on total hours, due to positive general equilibrium effects. Finally, the gender gap in welfare increased by 3% because women were more affected by the direct negative employment effects and benefited less from reallocation effects. Contact person: Miriam Wüst" "Hannah Zillessen, University of Oxford (Job Market Seminar) ";"Department of Economics";"2023-01-23";"11:00";"2023-01-23";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Uncertainty, Citizenship & Migrant Saving Choices"" Abstract In most Western countries, migrants hold significantly less wealth than natives. Migrants also face significantly more uncertainty about their future. This paper examines the central role of uncertainty over citizenship prospects and future location in explaining their saving choices. Exploiting quasi-experimental variation and panel data from Germany, I show that migrants with a right to citizenship save as much as comparable natives, while migrants without this right save 30% less. This unexplained gap is closed completely when migrants in the latter group gain access to citizenship. The effect is not driven by changes in resources, but rather willingness to save. While standard theory predicts that saving increases in uncertainty, I show that the effect can reverse if utility is state-dependent, malleable, or resources are not equally accessible across states. I build a life-cycle saving model with uncertain retirement location and heterogeneous country preferences. The model shows that agents can have a “preparatory saving motive” that decreases in uncertainty. I confirm the importance of this novel motive empirically, showing that migrants become significantly more likely to invest in illiquid assets if they gain certainty about their right to stay.Contact person: Mette Gørtz" "Johan Sæverud, University of Copenhagen (Job Market Seminar)";"Department of Economics";"2023-01-20";"14:00";"2023-01-20";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Subjective Earnings Risk"" Abstract Earnings risk is in essence subjective. Yet, it is typically inferred from the cross sectional distribution of realized earnings growth observed in administrative data by making strong assumptions about homogeneity within groups of people. We collect new data using a custom survey designed to elicit subjective earnings expectations in order to characterize the actual nature of subjective earnings risk. The distinguishing feature of our survey instrument is that it elicits the entire subjective probability distribution over future earnings conditional on possible job transitions, i.e., whether people stay in their current job, quit or are laid-off. We create individual measures of overall earnings expectations by aggregating subjective probability distributions over future earnings across job transition states. By pooling individual data on subjective earnings expectations and comparing with the administrative data, we first show that the survey data is consistent with the cross sectional distribution of realized earnings growth that is observed in administrative data. We then turn to consider the subjective expectations and find that individual earnings risk inferred from administrative data is highly distorted: subjective earnings risk is on average far lower, and it is heterogeneous both within and across demographic groups. Furthermore, we document that overall subjective earnings risk is dominated by the job transition risk. We close the paper by showing how implied earnings expectations in a life cycle model of search and matching calibrated to administrative data on job transitions over-states how people actually perceive earnings risk. Our findings show that people tend to have more information about earnings risk than what current estimates of search and matching models imply. Overall, our results suggest that subjective risk has been massively overstated when inferred from data on realized earnings and job transitions. Contact person: Mette Ejrnæs" "SODAS Lecture: The Effects of Social Movements - Evidence from #MeToo";"SODAS";"2023-01-20";"11:00";"2023-01-20";"12:30";"CSS, Øster Farimagsgade 5, SODAS conference room 1.2.26";"SODAS Lecture with Ro'ee Levy, Tel Aviv University School of Economics";"Title The Effects of Social Movements: Evidence from #MeToo Abstract Social movements are associated with large societal changes, but evidence of their causal effects is limited. We study the effect of the MeToo movement on reporting sex crimes to the police. We construct a new dataset of crimes reported in 31 OECD countries and employ a triple-difference strategy between crime types, across countries, and over time. The movement increased the reporting of sex crimes by 10%. Using rich US data, we find that in contrast to a common criticism of the movement, the effect is similar across socioeconomic groups, and that the movement also increased arrests for sexual assault. The increased reporting reflects a higher propensity to report sex crimes and not an increase in crime incidence. The mechanism most consistent with our findings is that victims perceive sexual misconduct to be a more serious problem following the movement. Our results demonstrate that social movements can rapidly and persistently affect high-stakes decisions. Link to paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3496903 Bio Ro'ee Levy is an assistant professor at the Tel Aviv University School of Economics. Before joining Tel Aviv University, Ro'ee visited MIT as a post-doc and received his Ph.D. from Yale University. He is an Abdul Latif Jameel Poverty Action Lab (J-PAL) affiliated professor and an affiliate of the SSRC Digital Platforms Initiative. Ro'ee studies political economy and social media. He is interested in the forces shaping social norms, political attitudes, and policy preferences, and their subsequent influence on individual behavior. " "Joachim Kahr Rasmussen defends his PhD thesis at the Department of Economics";"Department of Economics";"2023-01-19";"13:00";"2023-01-19";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"";"Candidate Joachim Kahr Rasmussen, Department of Economics, University of Copenhagen Title Essays on the Economics of Intergenerational Mobility and More Supervisors Professor Søren Leth-PetersenProfessor Claus Thustrup Kreiner Assessment Committee Associate Professor Thomas Høgholm Jørgensen Department of Economics Associate Professor Martin Nybom , University of Uppsala Associate Professor Malene Kallestrup-Lamb , University of Aarhus Summary This PhD thesis consists of four chapters. Despite the fact that the chapters are to some extent related and complement each other, they are fundamentally self-contained. In the first chapter, co-authored with Ulrika Ahrsjö and René Karadakic, we present new evidence on the existence and drivers of trends in intergenerational income mobility using administrative income data from Scandinavia along with survey data from the United States. Harmonizing data from Sweden, Denmark and Norway, we find that intergenerational rank associations in income have increased uniformly across Sweden, Denmark, and Norway for cohorts born between 1951 and 1979. Splitting these trends by gender, we find that father-son mobility has been stable, while family correlations for mothers and daughters trend upwards. We argue that the observed decline in intergenerational mobility is consistent with female skills becoming increasingly valued in the labor market. In the second chapter, co-authored with Julie Marx, we exploit detailed wealth records from Denmark along with multi-generational family linkages in order to investigate the extent at which inheritances from grandparents are invested in children. We find that inheritances have a substantial impact on child human capital accumulation as measured by school performance if received around the time of birth, while the impact is smaller in later years. In a series of event studies, we rationalize this finding. In particular, we provide evidence of substantial reductions in parental labor supply and movements to better neighborhoods in response to receiving inheritances, and these effects are stronger when parents have young children. In the third chapter, co-authored with Kristian U. O. Larsen, we assess the applicability of reinforcement learning (RL) in approximating solutions to stylized discrete-time dynamic stochastic control problems known from the economic literature. We mainly direct our attention to problems where the state-action space is large and potentially continuous. Using different RL-based algorithms for solving these complex problems, we find that RL indeed shows promising potential in dealing efficiently with high dimensionalities. However, we also highlight that time-efficient solutions to high-dimensional problems with reinforcement learning generally relies on efficient tuning of hyperparameters – a process that can be tremendously. The fourth and final chapter of this dissertation is early stage work in which I investigate what drives estimates of intergenerational income mobility in the very long run. As already touched upon in the first chapter, a growing empirical literature has in recent years documented how intergenerational mobility in income has been declining over several decades. In parallel, a far more mature literature has discussed whether skill-biased technological change induced by a rising supply of skilled workers has caused the return on skill to rise. An open question is whether these two phenomena are related. Utilizing a multi-generational model of skill-specific technologies where the direction of research is endogenous and responds to profit incentives, and where workers endogenously select into occupations taking specialization costs and their individual skill composition into account, I characterize how changes in the equilibrium allocation of skilled labor (arising from shifts in the demand or supply for skilled labor) may drive dynamics in skill premia and earnings dispersion. Making the assumption that latent skills are partly inherited, I show that such changes may also affect long run intergenerational income mobility, and I find that at sufficiently high degrees of substitution between skilled and unskilled production, intergenerational mobility is locally declining in association with a rising equilibrium skill supply." "Frederik Plesner Lyngse, University of Copenhagen (Job Market Seminar)";"Department of Economics";"2023-01-19";"11:00";"2023-01-19";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Causal Effects of Early Career Sorting on Labor and Marriage Market Choices: A Foundation for Gender Disparities and Norms"" Abstract We study whether and how early labor market choices determine longer-run career versus family outcomes differentially for male and female professionals. We analyze the physician labor market by exploiting a randomized lottery that determines the sorting of Danish physicians into internships across local labor markets. Using administrative data spanning ten years after physicians’ graduations, we find causal effects of early-career sorting on a range of life cycle outcomes that cascade from labor market choices, including human capital accumulation and occupational choice, to marriage market choices, including matching and fertility. The persistent effects are entirely concentrated among women, whereas men experience only temporary career disruptions. The evidence points to differential family-career tradeoffs and the mentorship employers provide as channels underlying this gender divergence. Our findings have implications for policies aimed at gender equality in outcomes, as they reveal how persistent gaps can arise even in institutionally gender-neutral settings with early-stage equality of opportunity. Contact person: Mette Ejrnæs" "Lukas Nord, European University Institute (Job Market Seminar) ";"Department of Economics";"2023-01-18";"14:00";"2023-01-18";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Shopping, Demand Composition, and Equilibrium Prices"" Abstract This paper develops an equilibrium theory of expenditure inequality and price dispersion, to study how retail prices respond to households' shopping behavior. Heterogeneity in the effort to search for prices implies that the price elasticity faced by retailers depends on the composition of demand. For a search market with price posting, I show analytically that retailers optimally charge higher markups if goods are mainly consumed by low-search-effort households. Additional predictions on the shape of posted price distributions are consistent with evidence from US supermarket scanner micro-data. I embed search for prices into an incomplete markets model with non-homothetic preferences and equilibrium price dispersion for multiple varieties. Endogenous heterogeneity in search effort allows the model to match evidence on differences in prices paid for identical goods and reduces inequality in consumption relative to expenditure. I show that the equilibrium response of posted prices across products doubles this direct effect of search on inequality. In addition, the model reconciles conflicting evidence on the cyclicality of retail markups, as aggregate shocks change the composition of demand. Finally, I find that the response of posted prices to a redistributive earnings tax compensates top earners for up to 14% of their losses. Contact person: Søren Hove Ravn" "Gosia Majewska, Toulouse School of Economics (Job Market Seminar) ";"Department of Economics";"2023-01-17";"14:00";"2023-01-17";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Incentivizing novelty in antibiotic development"" Abstract In antibiotics, a constant supply of new products is needed as bacteria become resistant to the existing drugs. I estimate the effectiveness of innovation incentives for antibiotics, introduced in 2012. In a difference-in-differences framework, I find that the incentives have a positive effect on clinical trial success rates, but only for projects using known technologies. To assess the long-term effect of the incentives on market entry, I set up a dynamic structural model of pharmaceutical innovation. The multi agent setting of the model allows the firm decisions to depend not only on the projects' expected cost and profit, but also on the outcomes of technologically close projects. Counterfactual simulations show a 20% increase in the number of market entries due the current incentive scheme, driven mostly by research subsidies. Contact person: Miriam Wüst" "Elif Bike Osun, University of Maryland (Job Market Seminar) ";"";"2023-01-16";"11:00";"2023-01-16";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Effect of Feedback on Beliefs About Self-Ability"" Abstract I study the effect of different feedback structures on belief updating in an ego-relevant task using a controlled experiment. Across treatments, subjects receive feedback through a signal with either a noise component, a comparison component, or both. The first two signals are commonly used in the literature, while I develop the latter to systematically analyze the effect of noise and comparison components on belief updating. I find that the signal structure is an important determinant of how subjects update their beliefs. This is driven by men and women exhibiting different biases depending on whether the signal is noisy or comparative. Men underweight bad news when the signal has a noise component and women underweight good news when the signal has a comparison component. These findings have implications for policies aiming to reduce the well-established gender gap in self-confidence through feedback provision. Contact person: Thomas Markussen" "Morten Nyborg Støstad, Paris School of Economics (Job Market Seminar) ";"Department of Economics";"2023-01-13";"14:00";"2023-01-13";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""The Consequences of Inequality: Beliefs and Redistributive Preferences"" Abstract What are the societal consequences of economic inequality, and how do concerns for these consequences affect individuals' redistributive preferences? This paper examines beliefs about how economic inequality changes society, and establishes a causal link between such inequality externality beliefs and redistributive preferences. Using two representative surveys of a combined 6,731 U.S. citizens, we show that a majority of respondents believe that inequality leads to negative societal outcomes through channels such as increased crime, deteriorating democratic institutions, and diminished economic growth. We establish a causal link from individuals' inequality externality beliefs to their redistributive preferences by using exogenously provided video information treatments. With this and other methods we estimate that inequality externality beliefs are about two-thirds as impactful for individuals' redistributive preferences as broad fairness views. Although Democrats are more likely to believe in the negative consequences of inequality than Republicans, beliefs are surprisingly similar across political parties and less polarized than comparable economic fairness views. Inequality externality-based arguments cause less anger among respondents than fairness-based arguments, however, indicating structural differences in the two types of arguments. Contact person: Niels Johannesen" "Jonas Lieber, University of Chicago (Job Market Seminar)";"Department of Economics";"2023-01-12";"14:30";"2023-01-12";"15:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Estimating Concentration Parameters for Bandit Algorithms"" Abstract Bandit models are widely used to capture learning in contexts where agents repeatedly choose actions with uncertain rewards. Examples include firms maximizing profits by experimenting with prices or advertisement, randomized control trials maximizing outcomes by evaluating alternative treatments, and consumers maximizing utility by trying experience goods. A popular bandit algorithm is the upper confidence bound (UCB) algorithm. The UCB algorithm requires sub-Gaussian concentration parameters as inputs. In practice, these parameters are unknown so that the UCB algorithm is not fully data driven. I propose a method to estimate these parameters and use the estimated parameters to conduct inference with Hoeffding's inequality. I show that asymptotic inference with estimated parameters is valid under mild and optimal under stronger conditions. In finite samples, I establish validity of inference under an anti-concentration condition. Equipped with the proposed estimator for sub-Gaussian concentration parameters, I adapt the UCB algorithm to settings where these parameters are unknown. In an empirical application, I study price experimentation after the liberalization of the spirits market in Washington State in 2012 and find that the adapted UCB algorithm leads to considerably higher profits. My theoretical results can also be applied to non-standard inference problems that arise in partial identification and machine learning. Contact person: Anders Munk-Nielsen" "Linnea Lorentzen, Norwegian Business School (Job Market Seminar)";"Department of Economics";"2023-01-11";"14:00";"2023-01-11";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Domino Effects: Understanding Sectoral Reallocation and its Wage Implications"" Abstract How do sector-specific shocks induce workers to move between sectors, and what is the impact on the distribution of earnings? While we know that sector-specific shocks affect workers in directly exposed sectors, less is known about the equilibrium effects on indirectly exposed workers. This paper studies how shocks hitting one sector can, mediated through sectoral reallocation, impact workers across sectors. Specifically, I study the sectoral reallocation in Norway, driven by the collapse in the price of Brent Crude Oil in 2014. The data shows the worker reallocation to be asymmetric; the oil workers moved into certain destination sectors in particular. By exploiting variation in into which sectors oil workers had been moving pre-shock, I provide novel empirical evidence on how workers in sectors more exposed to worker inflows experienced a relative reduction in earnings growth and an increased probability of leaving their sector. To quantify the equilibrium effects, I employ a Roy model of sectoral reallocation where sectoral skills are distributed log-normally and correlated across sectors. I calibrate the skill correlations by targeting the sectoral reallocation observed in the data. The model simulates the counterfactual reallocation driven by the shock in isolation and quantifies the magnitude of the equilibrium effects. The quantitative results show that, on average, across local non-tradable sectors, the shock is associated with a real wage decline of 10% of the oil sector real wage decline, with a maximum of 66%.Contact person: Anders Munk-Nielsen" "Magnus Tolum Buus, US San Diego/University of Copenhagen (Job Market Seminar) ";"Department of Economics";"2023-01-10";"14:00";"2023-01-10";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Network Effects in Export Markets: Evidence from Matched Exporter-Importer Data"" Abstract This paper provides novel causal evidence of network effects in export markets. Using Danish firm-to-firm trade data, I show that a larger existing buyer network leads to more new buyer relationships. Specifically, one additional buyer match in the previous year leads to 0.2 new buyer matches. I establish causality by exploiting variation in exporters’ access to export promotion services. I complement the direct, causal evidence with indirect, correlational evidence based on observed price variation both in the cross-section and over time. Network effects explain about half the total accumulation of buyers by Danish exporters and, hence, is an important driver of total export growth. These findings have important implications for the optimal design of trade policies: Matching new exporters to foreign importers should be a primary objective. Contact person: Mette Ejrnæs" "Marion Leroutier, Stockholm School of Economics (Job Market Seminar) ";"Department of Economics";"2023-01-09";"14:00";"2023-01-09";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""The Cost of Air Pollution for Workers and Firms"" Abstract Poor air quality negatively affects workers' health and cognitive functions, but we know little about the countrywide consequences for firms. In this paper, we estimate the causal effects of fine particulate matter (PM2.5) exposure on workers' absenteeism and firms' monthly sales using unique employer-employee data and granular measures of air pollution in France from 2009 to 2015. We exploit variation in air pollution induced by changes in monthly wind directions at the postcode level. We find that a 10% increase in monthly PM2.5 exposure increases worker absenteeism in the same month by 1% and reduces sales in manufacturing, construction, and professional services, with different lags. Sales losses are several orders of magnitude larger than what we would expect if workers' absenteeism was the only factor affecting firms' performance. This suggests a potentially large effect of pollution on the productivity of non-absent workers. We estimate that reducing air pollution in France in line with the World Health Organization's guidelines would have saved at least 0.3% of GDP annually in terms of avoided sales losses. Contact person: Peter Birch Sørensen" "Florian Schneider, University of Zurich (Job Market Seminar) ";"Department of Economics";"2023-01-09";"11:00";"2023-01-09";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"Jobmarket seminar arranged by the Department of Economics";"""Financial incentives for vaccination do not have negative unintended consequences"" Abstract Financial incentives to encourage healthy and prosocial behaviors often trigger initial behavioral change, but a large academic literature cautions against using them. Critics warn that financial incentives can crowd out prosocial motivations and reduce perceived safety and trust, thereby reducing healthy behaviors when no payments are offered and eroding morals more generally. Here we report findings from a large-scale, pre-registered study in Sweden that causally measures the unintended consequences of offering financial incentives for taking a first dose of a COVID-19 vaccine. We use a unique combination of random exposure to financial incentives, population-wide administrative vaccination records, and rich survey data. We find no negative consequences of financial incentives; we can reject even small negative impacts of offering financial incentives on future vaccination uptake, morals, trust, and perceived safety. In a complementary study, we find that informing US residents about the existence of state incentive programs also has no negative consequences. Our findings inform not only the academic debate on financial incentives for behavior change, but also policy-makers who consider using financial incentives to change behavior. Contact person: Thomas Markussen " "Janek Bligaard Eskildsen defends his PhD thesis at the Department of Economics";"Department of Economics";"2023-01-06";"14:00";"2023-01-06";"16:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"";"Candidate Janek Bligaard Eskildsen, Department of Economics, University of Copenhagen Title Integrating Technology and the Environment in Computable General Equilibrium Models Supervisor Professor Peter Birch Sørensen Assessment committee Professor Anders Munk-Nielsen Associale Professor Mar Reguant Professor Christoph Böhringer " "Anders Humlum, University of Chicago";"CoLab seminar arranged by the Department of Economics";"2022-12-20";"13:15";"2022-12-20";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Changing Tracks: Human Capital Investment after Loss of Earning Ability "". CoLab seminar arranged by the Department of Economics.";"""Changing Tracks: Human Capital Investment after Loss of Earning Ability"" Abstract We provide the first evidence on how workers invest in human capital after losing ability. Studying quasi-random work accidents using Danish administrative data, we find that workers take up higher education after physical injuries. Workers enroll in bachelor's programs that build on their work experiences and provide pathways to cognitive occupations. Yet, most injured workers do not invest in human capital, and we cast light on the underlying causes. Exploiting differences in eligibility driven by prior vocational training, we find that human capital investment moves injured workers from disability benefits to full-time employment, earning 25 percent more than before their injuries. Higher education for injured workers can generate net social returns of 500 percent. Joint with Pernille P. Jørgensen and Jakob R. Munch Contact person: Kristoffer Balle Hvidberg" "Maria Schlier defends her PhD thesis at the Department of Economics";"Department of Economics";"2022-12-19";"14:30";"2022-12-19";"16:30";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"";"Candiate Maria Schlier, Department of Economics, University of Copenhagen Title Empirical essays in Organizational economics Supervisor Professor Morten Bennedsen Assessment Committee Associate Professor Nikolaj Harmon Department of Economics Professor Guido Friebel, Goethe University Frankfurt Professor Mario D Amore, Bocconi University Summary This dissertation contains three self-contained Chapters in the field of organizational economics. Focusing on school principals, teachers, and CEOs, each Chapter casts light on ways having different leaders or being in different organizations has an impact on performance. In the first Chapter, I provide evidence of a cause and a consequence of teacher absenteeism. First, I provide evidence that the presence of the school principal impacts the level of teacher absence in a school. I estimate this effect using principal hospitalization. As the principal temporarily separates from the school to be at the hospital, I check if the behavior of teachers is affected. The main advantage of this approach is that I can assess the importance of the principal when he or she leaves and returns to the same school, solving the problems of endogeneity that come from other specifications using fixed effects. I find evidence that one extra day of principal hospitalization leads to an increase of 0.02 teacher absent days. Then, I estimate the impact of teacher absence on students using a variation of the teacher added-value model with student fixed effects. In other words, I can see the variation of school grades within a given student and their exposure to different teachers with different levels of absenteeism, controlling for unobservable aspects of the student. I find evidence that, for a given student, having teachers with higher levels of absence is associated with lower grades. In the second Chapter, co-authored with Morten Bennedsen, we investigate how organizational settings can affect the level of absenteeism in schools. We decompose teacher absenteeism in two dimensions, first, the extensive margin relating to the type of teachers that work in a given school and their drive and motivation; and second, an intensive margin relating to the school environment and their incentives and absence culture. We will provide evidence that institutional environment explain more than half the difference in teacher absenteeism between top and bottom schools. This effect is even larger when we focus on discretionary absenteeism, which we measure using absence days in conjunction with public holidays. In other words, teachers tend to adapt to the absence culture of their school. We also provide evidence that leadership matters in the level of absenteeism exploiting the rotation of principals across schools and the changes in absence levels. These results together provide evidence that institutional school settings play a vital role in teacher absenteeism. In the third Chapter, co-authored with Morten Bennedsen, Amanda Goodall and Andrew Oswald, we provide empirical evidence that having a firm leader with longer experience in the firms' specific industry tends to produce higher returns on capital. This result is found using longitudinal data in Danish firms, collecting 17 year of previous work experience of CEOs. We are able to control for CEO fixed-effects and for firm fixed-effects. Our results indicate that every 13 years of extra CEO industry experience is estimated to add an extra 1 percentage point to the annual rate of return on a company’s assets. The size of this estimate is substantial statistically and in economic value." "Inge van den Bijgaart, Utrecht University";"Environmental Economics seminar arranged by the Department of Economics";"2022-12-13";"13:00";"2022-12-13";"14:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Screening Green Innovation Through Carbon Pricing"". Environmental Economics seminar arranged by the Department of Economics.";"""Screening Green Innovation Through Carbon Pricing"" Abstract Green innovation is essential for climate change mitigation, but not all innovative projects deliver equal social value. We consider innovator heterogeneity in a model where the policymaker cannot observe innovation quality and directly subsidize the socially most valuable green innovations. We find that carbon pricing works as an innovation screening device; this creates a premium on the optimal carbon price, raising it above the Pigouvian level. We identify conditions for perfect screening and generalize results to screening policies under alternative intellectual property regimes and complementary policies. Contact person: Peter Kjær Kruse-Andersen" "Luigi Iovino, Bocconi University";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-12-12";"14:15";"2022-12-12";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The (mis)perceived slope of the Phillips curve: Monetary policy with limited aware agents"". Macroeconomics Seminar, arranged by the Department of Economics.";"""The (mis)perceived slope of the Phillips curve: Monetary policy with limited aware agents"" Abstract Do agents understand well the determinants of the trade-off between output and inflation? What are the sources of their possible ""mistakes""? We combine data on aggregate variables and individual expectations from the Survey of Professional Forecasters to derive a new test for Rational Expectations (RE). The test is based on cross-variable restrictions between forecast errors about inflation and past expected output. The test rejects the RE hypothesis. We provide an interpretation of the empirical evidence based on agents that are unaware of supply shocks and, hence, commit an omitted variable bias when inferring the trade-off between output and inflation. We cast limited awareness into an otherwise standard New-Keynesian model and show that the presence of limited-aware agents increases the output cost of reducing inflation. In addition, when observing changes in the nominal interest rate that contains information about the state of the economy, limited-aware agents interpret signals in a biased way, possibly leading to over-reaction or under-reaction to news. The model can help address some ""puzzles"" of the New-Keynesian setup. Joint with Davide Debortoli, Nicola Pavoni, and Donghai. Contact person: Morten Graugaard Olsen" "SODAS Data Discussion 9 December 2022";"SODAS";"2022-12-09";"11:00";"2022-12-09";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Data Discussion with Lau Lilleholt and Leon Houf ";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Leon Houf, Heidelberg University Title: Protective networks around harassers Abstract: Harassment in any form is a widespread phenomenon in social contexts, including work environments such as academia. Often, harassers have a network around them that protects them from consequences of their harassing behaviour. This ""harasser network"" can protect against allegations and shield from (legal) consequences, to the point that perpetrators can stay employed and continue their behavior. In this project we aim to better understand these protective networks around harassers. We will develop a rigorous formalism and use empirical data to identify types of protective networks and the methods they employ to protect harassers. The results of this research should inform policymakers how to design systems and mechanisms that can enforce consequences on harassers without being impeded by their protective networks. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: Lau Lilleholt, SODAS, University of Copenhagen Title: The Danish Personality and Social Behavior Panel (DPSBP) Abstract: In the fall of 2021, we (Ingo Zettler and Lau Lilleholt) launched The Danish Personality and Social Behavior Panel (DPSBP). DPSBP is a large-scale panel study, involving 14,071 Danish citizens, which covers personality and prosocial/antisocial behaviors, using a combination of both self-report and incentivized behavioral measures. Notably, the data from DPSBP can be linked to data from Statistics Denmark, making it a unique and widely applicable dataset. " "Magnus Tolum Buus, US San Diego and University of Copenhagen (Job Market Mock Seminar)";"Department of Economics";"2022-12-07";"15:00";"2022-12-07";"16:00";"Virtuel zoom seminar";"""Network Effects in Export Markets: Evidence from Matched Exporter-Importer Data"". Job Market Mock Seminar arranged by the Department of Economics";"""Network Effects in Export Markets: Evidence from Matched Exporter-Importer Data"" Abstract This paper provides novel causal evidence of network effects in export markets. Using Danish firm-to-firm trade data, I show that a larger existing buyer network leads to more new buyer relationships. Specifically, one additional buyer match in the previous year leads to 0.2 new buyer matches. I establish causality by exploiting variation in exporters’ access to export promotion services. I complement the direct, causal evidence with indirect, correlational evidence based on observed price variation both in the cross-section and over time. Network effects explain about half the total accumulation of buyers by Danish exporters and, hence, is an important driver of total export growth. These findings have important implications for the optimal design of trade policies: Matching new exporters to foreign importers should be a primary objective. Contact person: Emiliano Santor" "Pascal Michaillat, Brown University";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-12-05";"14:15";"2022-12-05";"15:15";"Virtuel zoom seminar/CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"u* = √uv. Macroeconomics Seminar, arranged by the Department of Economics.";"u* = √uv Abstract Most governments are mandated to maintain their economies at full employment. We propose that the best marker of full employment is the efficient unemployment rate, u*. We define u* as the unemployment rate that minimizes the nonproductive use of labor—both jobseeking and recruiting. The nonproductive use of labor is well measured by the number of jobseekers and vacancies, u + v. Through the Beveridge curve, the number of vacancies is inversely related to the number of jobseekers. With such symmetry, the labor market is efficient when there are as many jobseekers as vacancies (u = v), too tight when there are more vacancies than jobseekers (v > u), and too slack when there are more jobseekers than vacancies (u > v). Accordingly, the efficient unemployment rate is the geometric average of the unemployment and vacancy rates: u* = √uv. We compute u* for the United States between 1930 and 2022. We find for instance that the US labor market has been over full employment (u < u*) since May 2021. Joint with Emmanuel Saez. Contact person: Jeppe Druedahl " "SODAS Lecture: Data Visualisation as a Critical Practice";"SODAS";"2022-12-02";"14:00";"2022-12-02";"15:30";"CSS, Øster Farimagsgade 5, SODAS conference room 1.2.26";"SODAS Lecture with Francesco Ragazzi, Leiden University";"Title: Data Visualisation as a Critical Practice: Mapping Biometric Mass Surveillance in the World Abstract: Public and scholarly debates in International Relations are increasingly dominated by large quantities of data. In this context, visualisation is often presented as a way to render this data accessible. Yet as beautiful aesthetic objects, data visualisations - understood as the mathematical visualisation of datasets - very often smuggle old assumptions about maps, plots and graphs: namely that they represent an objective, neutral, and value-free reality. Should critical international relations scholarship, grounded precisely in the critique of such objectivity thus abandon data visualisation? Are networks, graphs and maps inescapable devices of positivism and security as some scholars have argued? In this paper, while acknowledging part of the critique, I argue that it is possible, and indeed desirable, to use data visualisation tools critically. I show concretely how this could be done, through a data visualisation interface some colleagues and I have developed to map critically the deployment of Biometric Mass Surveillance systems in the world. Bio: Francesco Ragazzi is associate professor in International Relations at Leiden University (Netherlands) and associated scholar at the Centre d’Etude sur les Conflits, Liberté et Sécurité (France). He is also co-director of ReCNTR (Leiden University’s Center on Multimodal and Audiovisual methods). His research interests include counter-radicalisation, counterterrorism and digital surveillance. His current research project SECURITY VISION (www.securityvision.io) explores the security uses of computer vision in areas such as biometric surveillance, social media content moderation and border control. This autumn, the theme of the SODAS lecture series is ""Global Data Politics"". Global Data Politics Almost everything we do – how we meet, vote, shop, socialize or love – has become infused with, and is constantly generating new, digital data. Such data has helped generate entire professions such as (social) data science, and providing new insights into personal habits and convictions. With its capacity to reconfigure social relations, data has become the object of both local political struggles and activism and large-scale geopolitical clashes. In this lecture series, we investigate the emerging field of global data politics and turn to questions about the simultaneous datafication of politics and the politicization of data: What is the place of data in contemporary democracies? Does data have a nationality? How can and should cross-border data flows be governed and regulated? Can states, companies – or citizens – become digitally sovereign? Who owns (digital) data and their material infrastructure and why does this matter? (How) can we use digital data to change the world?" "Elisabeth Proehl, University of Amsterdam";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-11-21";"14:15";"2022-11-21";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Approximating Equilibria with Ex-Post Heterogeneity and Aggregate Risk"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Approximating Equilibria with Ex-Post Heterogeneity and Aggregate Risk"" Abstract Dynamic stochastic general equilibrium models with ex-post heterogeneity due to idiosyncratic risk have to be solved numerically. This is a nontrivial task as the cross-sectional distribution of endogenous variables becomes an element of the state space due to aggregate risk. Existing global solution methods often assume bounded rationality in terms of a parametric law of motion of aggregate variables in order to reduce dimensionality. I do not make this assumption and tackle dimensionality by polynomial chaos expansions, a projection technique for square-integrable random variables. This approach results in a nonparametric law of motion of aggregate variables. Moreover, I establish convergence of the proposed algorithm to the rational expectations equilibrium. Economically, I find that higher levels of idiosyncratic risk sharing lead to higher systemic risk, i.e., higher volatility within the ergodic state distribution, and second, heterogeneity leads to an amplification of aggregate risk for sufficiently high levels of risk sharing. Contact person: Jeppe Druedahl " "Emil Holst Partsch forsvarer sin ph.d.-afhandling";"";"2022-11-21";"10:00";"";"";"";"Emil Holst Partsch forsvarer sin ph.d.-afhandling:""Macroeconomics under the Microscope - Heterogeneity and Uncertainty""";"Emil Holst Partsch forsvarer sin ph.d.-afhandling:""Macroeconomics under the Microscope - Heterogeneity and Uncertainty"" Ph.d.-forsvaret foregår i CSS 26.2.21. For at deltage pr. Zoom, bruges dette link: https://ucph-ku.zoom.us/j/9536476672, passcode: 1234 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Søren Hove Ravn, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Peter Sedlacek, University of New South Wales Associate Professor Erik Oberg, Uppsala University Abstract This Ph.D. thesis consists of four self-contained chapters, which all investigate macroeconomic questions from a micro perspective: through structural models with either full distributional heterogeneity or approximations thereof, and in one case, through microdata. In addition, all projects are bound together by incorporating risk and/or uncertainty as drivers of outcomes. In the first chapter, co-authored with Emiliano Santoro and Ivan Petrella, we quantify the direct and indirect effects of monetary policy transmission in a two-sector Heterogeneous Agent New Keynesian (HANK) with durable and nondurable goods. With an empirically plausible share of liquidity-constrained consumers, we find that transitory income (indirect) effects drive the brunt of the consumption response of both goods and are key in generating positive co-movement when prices are asymmetrically sticky between sectors. Direct effects, however, regain strength relative to one-sector HANK models, as durables are quite interest rate sensitive. We show that results are robust to the realistic cases of deficit financing and sticky wages. In the second chapter, co-authored with Emiliano Santoro and Ivan Petrella, we build tractable two-sector HANK models where households may infrequently participate in financial markets. Both durables and nondurables are available for household consumption. In a model with two household types – households constrained in bonds and those not – having access to durables implies a de facto risk-sharing condition. Thus, the amplification of household-specific and sectoral nondurable consumption in response to monetary shocks depends on preference heterogeneity over nondurables. This is unlike similar one-sector models, where fiscal redistribution from unconstrained to constrained households plays a prominent role. When introducing a third agent, hand-to-mouth consumers with no access to durables or financial assets, fiscal redistribution amplifies the conditional volatility of GDP, which is opposite to one-sector economies. In the third chapter, co-authored with Jeppe Druedahl, we solve and evaluate global solutions of heterogeneous agent models with non-linear aggregate dynamics. Specifically, we investigate models where a small number of states can summarize aggregate dynamics. We let the perceived law-of-motion that agents use for now- and forecasting be arbitrarily non-linear. We use either a neural net or radial basis function interpolation to deliver precise global solutions. Radial basis function interpolation is much faster and more stable in terms of convergence. We solve our benchmark model with an aggregate non-linearity and period-by-period market clearing in less than 15 minutes. The fourth and final chapter, co-authored with Luca Neri, documents the dynamic effects of uncertainty shocks on skilled and unskilled labor using Danish registry data. In particular, we use Denmark as a small open economy subject to several aggregate uncertainty shocks. Identification relies on differential industry exposure to these shocks. Our results highlight that the labor displacement effects ascribed to uncertainty shocks affect unskilled labor more than skilled. We build a dynamic partial equilibrium heterogeneous firm with skilled and unskilled labor inputs and heterogeneous labor adjustment costs to rationalize our findings." "Leopoldo Catania, Aarhus University";"Econometrics seminar arranged by the Department of Economics";"2022-11-18";"14:00";"2022-11-18";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Leverage Effect and Propagation in Stochastic Volatility Models"". Econometrics seminar arranged by the Department of Economics.";"""The Leverage Effect and Propagation in Stochastic Volatility Models"" Abstract The talk is based on two papers:• Catania (2022, Journal of Business & Economic Statistics): “A Stochastic Volatility Model With a General Leverage Specification”We introduce a new stochastic volatility model that postulates a general correlation structure between the shocks of the measurement and log volatility equations at different temporal lags. The resulting specification is able to better characterize the leverage effect and propagation in financial time series. Furthermore, it nests other asymmetric volatility models and can be used for testing and diagnostics. We derive the simulated maximum likelihood and quasi maximum likelihood estimators and investigate their finite sample performance in a simulation study. An empirical illustration shows that the postulated correlation structure improves the fit of the leverage propagation and leads to more precise volatility predictions.• Catania (2022, working paper): “The Leverage Effect and Propagation”This paper proposes a new way to measure the leverage effect and its propagation over time. We show that, with respect to the newly proposed measure, common volatility models like the GJR-GARCH, the Exponential GARCH, and the asymmetric SV can be inaccurate to correctly represent the leverage effect and its propagation for financial time series. We propose to modify the variance recursion of common volatility models by including an auxiliary leverage process which allows for a proper representation of the leverage effect and its propagation over time. Empirical results indicate that the inclusion of the auxiliary leverage process is required for both in sample and out of sample analyses. Contact person: Rasmus Søndergaard Pedersen" "SODAS Lecture: Making a European Data Union – Security, politics and database interoperability";"SODAS";"2022-11-18";"11:00";"2022-11-18";"12:30";"CSS, Øster Farimagsgade 5, SODAS conference room 1.2.26";"SODAS lecture with Rocco Bellanova, Vrije Universiteit Brussel ";"Title: Making a European Data Union – Security, politics and database interoperability Abstract: There is a European Data Union in the making. Even before the adoption of the so-called Interoperability Regulations in 2019, public authorities and institutions had been vocal about their ambition of making information stored in existing and future autonomous databases interconnected and available to various authorities across Europe. The domains of security, border controls and migration governance are those in which database interoperability is currently being implemented on the ground. While law scholars have already pointed out the implications and challenges raised by a shift that is far from being purely technical, we still know very little about the political dimension of such infrastructural re-ordering. In this lecture, I will sketch the contours of two ongoing processes concerning database interoperability (the creation of a data-lake at Europol and the interconnection of EU-centralized databases). I will suggest that works from Science and Technology Studies and Critical Data Studies can help us refine International Relations’ and EU studies’ conceptual tool-boxes for studying the relation between digital technologies and European security practices. Bio: Rocco Bellanova is Research Professor at the Vrije Universiteit Brussel (interdisciplinary research group Law, Science, Technology & Society-LSTS). He is the PI of the ERC project DATAUNION - The European Data Union: European Security Integration through Database Interoperability. Before joining VUB, Rocco was Assistant Professor of Critical Data Studies at the Department of Media Studies of the University of Amsterdam (UvA). He also carried out his research in the department of Political Science of UvA, the Institute for European Studies of the Université Saint-Louis – Bruxelles and the Peace Research Institute Oslo (PRIO. His work sits at the intersection of politics, law, and science and technology studies. He studies how digital data become pivotal elements in the governing of societies. His research focuses on European security practices and the role of data protection therein. He has co-edited the book Surveillance, Privacy and Security. Citizens' Perspectives (Routledge - 2017) and special issues focusing on digital sovereignty (2022), scholarly practices of critique (2019) and science and technology in security practices (2020). He has published in journals such as Regulation & Governance, Journal of Common Market Studies, European Security, Geopolitics, Security Dialogue, European Journal of Social Theory, International Political Sociology. This autumn, the theme of the SODAS lecture series is ""Global Data Politics"". Global Data Politics Almost everything we do – how we meet, vote, shop, socialize or love – has become infused with, and is constantly generating new, digital data. Such data has helped generate entire professions such as (social) data science, and providing new insights into personal habits and convictions. With its capacity to reconfigure social relations, data has become the object of both local political struggles and activism and large-scale geopolitical clashes. In this lecture series, we investigate the emerging field of global data politics and turn to questions about the simultaneous datafication of politics and the politicization of data: What is the place of data in contemporary democracies? Does data have a nationality? How can and should cross-border data flows be governed and regulated? Can states, companies – or citizens – become digitally sovereign? Who owns (digital) data and their material infrastructure and why does this matter? (How) can we use digital data to change the world?" "Roland Rathelot, CREST, ENSAE, IPParis";"CoLab seminar arranged by the Department of Economics";"2022-11-15";"13:15";"2022-11-15";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""How do women and men search for jobs?"". CoLab seminar arranged by the Department of Economics.";"""How do women and men search for jobs?"" Abstract We use data on job views and applications on the largest job board in Sweden, Platsbanken. We merge this data with employment and unemployment registers. We document gender differentials in job search and analyse how they map to differentials in labour-market outcomes. Comparing unemployed job seekers with similar characteristics, we find that women apply to less jobs than men, and target jobs that pay less and are closer to home. Women and men have similar job-finding rates, and women do get jobs that pay less and are closer to home. We expand a simple search-and-matching framework to interpret our results, and show that these results can only be explained by a combination of factors: women and men need to differ in valuation given to non-wage amenities, search costs, and unemployment value to account for the full set of empirical findings. The fact that gender gaps do not vary with time spent in unemployment indicate that differential over-optimism is unlikely to be a key explanation for the gender wage gap. (Joint with Lena Hensvik and Thomas Le Barbanchon)Contact person: Daphné Jocelyne Skandalis" "Vincent Sterk, University College London";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-11-14";"14:15";"2022-11-14";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Monetary Policy during a Cost-of-Living Crisis"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Monetary Policy during a Cost-of-Living Crisis"" Abstract This paper studies the effects of monetary policy during times when sectoral supply shocks raise the cost of living, in particular for low-income households. We present a multi-sector Heterogeneous-Agents New-Keynesian model with a generalized, non-homothetic preferences, giving rise to heterogeneous consumption baskets and demand elasticities across the income and wealth distribution. In this setting, household inequality directly affects the New Keynesian Phillips Curve, in which an endogenous “markup wedge” emerges. The presence of this wedge creates a trade-off in managing the aggregate output gap versus inflation, which can be particularly strong following sector-specific shocks. In addition, such shocks can create strong distributional effects, which monetary policy may help to address. We evaluate the policy trade-offs in a quantitative analysis, applied to the United Kingdom. Joint with Alan Olivi and Dajana Xhani. Contact person: Jeppe Druedahl " "Vincent Sterk, University College London";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-11-14";"14:15";"2022-11-14";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Monetary Policy during a Cost-of-Living Crisis"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Monetary Policy during a Cost-of-Living Crisis"" Abstract This paper studies the effects of monetary policy during times when sectoral supply shocks raise the cost of living, in particular for low-income households. We present a multi-sector Heterogeneous-Agents New-Keynesian model with a generalized, non-homothetic preferences, giving rise to heterogeneous consumption baskets and demand elasticities across the income and wealth distribution. In this setting, household inequality directly affects the New Keynesian Phillips Curve, in which an endogenous “markup wedge” emerges. The presence of this wedge creates a trade-off in managing the aggregate output gap versus inflation, which can be particularly strong following sector-specific shocks. In addition, such shocks can create strong distributional effects, which monetary policy may help to address. We evaluate the policy trade-offs in a quantitative analysis, applied to the United Kingdom. Joint with Alan Olivi and Dajana Xhani Contact person: Jeppe Druedahl" "SODAS Data Discussion 11 November 2022";"SODAS";"2022-11-11";"11:00";"2022-11-11";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Data Discussion with Peter Gregory Mehler and Fernando Bermejo ";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Peter Gregory Mehler, SODAS, University of Copenhagen Title: How Robust is Open-Source?: An Analysis of the Global Github Dependency Network Abstract: In the past decade there have been many large-scale security breaches exposing sensitive information of millions of people to malicious actors. One such venue for potential attack is the world’s largest open-source code repository: Github. We examine the robustness of the open-source ecosystem through a network analysis of the global Github dependency network. Our analysis reveals the weakness of the open-source ecosystem to targeted attacks. This weakness is two-fold; We show the small number of individuals and organizations responsible for safeguarding the open-source ecosystem as well as the ecosystem’s reliance on a few major libraries, indicating large power asymmetries among repositories. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: Fernando Bermejo, Executive Director at Media Ecosystems Analysis Group Title: Media Cloud as a massive open-source collection of news in the open web Abstract: This talk will provide an overview of the Media Cloud project (mediacloud.org): its history, capabilities, and future trajectory. The project, started at Harvard University over a decade ago, currently holds in its database more that 2 billion news stories, and continues to ingest content from over 60k news sources around the world. Evolving and managing a non-commercial research endeavor of such dimensions, and making it available to researchers, presents a series of significant challenges that will be discussed in the talk. " "Benjamin Born, Frankfurt School of Finance & Management";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-11-07";"14:15";"2022-11-07";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""A Temporary VAT Cut as Unconventional Fiscal Policy"". Macroeconomics Seminar, arranged by the Department of Economics.";"""A Temporary VAT Cut as Unconventional Fiscal Policy"" Abstract We exploit the temporary VAT cut in Germany in the second half of 2020 as a natural experiment to study the spending response to unconventional fiscal policy. We use survey and scanner data on households’ consumption expenditures and their perceived pass-through of the tax change into prices to quantify the effects of this VAT policy. The temporary VAT cut led to a relative increase in durable spending of 32 percent for individuals with a high perceived pass-through. Semi- and non-durable spending also increased. The VAT policy increased aggregate consumption spending by 23 billion Euros, or 1.4 percent. Joint with Rüdiger Bachmann, Olga Goldfayn-Frank, Georgi Kocharkov, Ralph Luetticke, Michael Weber. Contact person: Jeppe Druedahl " "Emil Toft Hansen forsvarer sin ph.d.-afhandling";"";"2022-11-04";"15:15";"";"";"Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, bygning 26, CSS 26.2.21";"Emil Toft Hansen forsvarer sin ph.d.-afhandling:""Essays on Consumer Behaviour and Advances in Economic Accounting""";"Emil Toft Hansen forsvarer sin ph.d.-afhandling:""Essays on Consumer Behaviour and Advances in Economic Accounting"" Ph.d.-forsvaret foregår i CSS 26.2.21. Link til deltagelse via Zoom følger her: https://ucph-ku.zoom.us/j/2336281735 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Jeppe Druedahl, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Benjamin Moll, London School of Economics Assistant Professor Arna Olafsson, Copenhagen Business School Abstract This thesis consists of four self-contained research papers. All papers share in common that they build on transaction data from a large Scandinavian retail bank, and that they in some way concerns consumer spending. In the first and second chapter, written together with Asger Lau Andersen, Niels Johannesen and Adam Sheridan, we explore the consumer reaction to the Covid-19 pandemic. In the first chapter we use transaction data from a large bank in Scandinavia to estimate the effect of social distancing laws on consumer spending during the onset of the Covid-19 pandemic in March-May 2020. We exploit that Denmark and Sweden were similarly exposed to the pandemic but only Denmark imposed significant restrictions on social and economic activities. We estimate that aggregate spending dropped by around 25% in Sweden and, as a result of the shutdown, by four additional percentage points in Denmark. This suggests that most of the economic contraction was caused by the virus itself and occurred regardless of social distancing laws. In the second chapter, we zoom in on the consumer response in Denmark and expand the time horizon to cover the entire first Covid-19 wave from March to August 2020. We document that while aggregate spending initially dropped by close to 30% it recovered almost fully towards the end of the first wave. We further show that spending plummeted in categories severely affected by supply restrictions, but increased in unaffected categories. Individual exposure to health risks and supply restrictions was associated with much larger spending cuts than exposure to income risk and unemployment. In the third chapter, written with Asger Lau Andersen, Kilian Huber, Niels Johannesen and Ludwig Straub, we propose and implement a system of disaggregated economic accounts. Such a system comprehensively disaggregates national accounting flows between small groups of consumers and producers, including consumption, income, international trade, and government transactions. We develop guidelines allowing researchers to measure disaggregated accounts using different types of “bottom-up” and “top-down” approaches. In our implementation, we measure a disaggregated system for the Danish economy by assigning all Danish consumers and production establishment to small region-by-industry cells. Unlike existing accounting systems, we measure the entire circular flow of money among consistently defined small groups, allowing us to develop facts on how different consumer and producer groups are connected. We develop a model with many sectors and regions that matches the disaggregated system and use it to show how disaggregated accounts improve our understanding of the distributional consequences of shocks. In the fourth chapter, I study what drives the demand for high-cost consumption loans, e.g., kviklån. I utilize the bank transaction data to identify usage of high-cost consumption loans as well as to extract information on spending, earnings and liquidity. I investigate the extent to which adverse events drive loan demand, or if it is more likely to be explained by borrowers' personality traits. My findings indicate that high-cost borrowers have self-control problems and that high-cost loans are likely used to finance impulse spending or function as a way to prolong a credit-financed spell of overconsumption." "Felix Wellschmied, Universidad Carlos III de Madrid";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-10-31";"14:15";"2022-10-31";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Wage Risk, Employment Risk, and the Rise in Wage Inequality "". Macroeconomics Seminar, arranged by the Department of Economics.";"""Wage Risk, Employment Risk, and the Rise in Wage Inequality"" Abstract Using a structural labor market model, we estimate for most US male workers an increase in the dispersion of idiosyncratic productivity shocks and an increase in the heterogeneity in pay across offered jobs between 1983-2013. These changes explain most of the increase in residual wage inequality and, depending on education, between 18 and 32 percent of the decreases in the aggregate employment and labor force participation rates. The higher uncertainty reduces the welfare of workers, and this effect is strongest for those with little education. Expanding the welfare state as a response to increasing uncertainty fails to increase workers' welfare. Joint with Ariel Mecikovsky Contact person: John Vincent Kramer" "SODAS Lecture: Algorithmic Global Wealth Chains ";"SODAS";"2022-10-28";"11:00";"2022-10-28";"12:30";"CSS, Øster Farimagsgade 5, SODAS conference room 1.2.26";"SODAS Lecture with Leonard Seabrooke, Copenhagen Business School, and Saila Stausholm, Max Planck Institute for the Study of Societies ";"Title: Algorithmic Global Wealth Chains Abstract: Legal affordances are pathways of action supported by professional communities in and across jurisdictions in the international political economy. Recent work has explored how multinational enterprises take advantage of legal affordances for wealth protection, including the use of legal arbitrage, ambiguity, and absences. Given the complexity of legal systems across jurisdictions, digital technologies are being put to use to search for legal affordances and calculate optimal allocations of economic activity between jurisdictions. This ranges from automating the manual handling of tax data to algorithms searching for optimal use of tax incentives, as well as machine learning to actively suggest tax planning strategies. In this paper we explore the use of digital tax technologies in the Big Four accounting firms. We explore how algorithms are able to locate legal affordances and how this changes the articulation of global wealth chains in three ways. The first is influence on professional characteristics, including the emergence of new hierarchies based on technological prowess. The second is new practices that permit new temporal ordering in tax planning, with the tax technologies integrating financial, operational and legal data and operating in real-time. The third is professional services that foster closer firm-level coordination between tax planning with financing and supply chain operations, entangling global value chains with global wealth chains. Bios: Leonard Seabrooke is Professor of International Political Economy and Economic Sociology in the Department of Organization at Copenhagen Business School. His current research concentrates on transnational professionals across a range of cases, from finance and tax experts, to consultants, sustainability experts, and others. Seabrooke's work has appeared in leading journals, including American Sociological Review, Annual Review of Sociology, Governance, International Studies Quarterly, Review of International Political Economy, and many others. Saila Stausholm is a postdoctoral researcher at the Max Planck Institute for the Study of Societies. Her research is focused on corporate taxation and the policies governments undertake to attract investment and growth, as well as the ways corporations and professionals interact with these policies. Stausholms work spans across macro and micro dimensions and has included work on tax in mining contracts, Global Professional Service Firms, international tax reforms and algorithms in tax planning. This autumn, the theme of the SODAS lecture series is ""Global Data Politics"". Global Data Politics Almost everything we do – how we meet, vote, shop, socialize or love – has become infused with, and is constantly generating new, digital data. Such data has helped generate entire professions such as (social) data science, and providing new insights into personal habits and convictions. With its capacity to reconfigure social relations, data has become the object of both local political struggles and activism and large-scale geopolitical clashes. In this lecture series, we investigate the emerging field of global data politics and turn to questions about the simultaneous datafication of politics and the politicization of data: What is the place of data in contemporary democracies? Does data have a nationality? How can and should cross-border data flows be governed and regulated? Can states, companies – or citizens – become digitally sovereign? Who owns (digital) data and their material infrastructure and why does this matter? (How) can we use digital data to change the world?" "Joe Hazzell, London School of Economics";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-10-24";"14:15";"2022-10-24";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Bonus Question: How Does Incentive Pay Affect Wage Rigidity?"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Bonus Question: How Does Incentive Pay Affect Wage Rigidity?"" Abstract Wage rigidity occupies a central role in business cycle models. However, the relevant notion of wage rigidity is unclear because in the data, base wages appear rigid but non-base wages, such as bonuses, are flexible in the data. This paper studies how incentive pay affects unemployment and inflation dynamics by embedding a general dynamic principal-agent problem into macro business cycle models. We show that a Diamond-Mortensen-Pissarides labor search model with flexible incentive pay exhibits identical first-order unemployment dynamics compared with a simple model with exogenously fixed wages \citep (Hall, 2005) calibrated to the same steady state moments. Similarly, in a New Keynesian model, incentive pay generates the same Phillips Curve relation between price inflation and unemployment as does a fixed wage model. Thus incentive pay is not relevant ""wage flexibility'' for unemployment or inflation dynamics. Contact person: Antoine Bertheau" "Ofer Setty, Tel Aviv University";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-10-10";"14:15";"2022-10-10";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Universal Basic Income: Inspecting the Mechanisms"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Universal Basic Income: Inspecting the Mechanisms"" Abstract We consider the aggregate and distributional impact of Universal Basic Income (UBI). We develop a model to study a wide range of UBI programs and financing schemes and to highlight the key mechanisms behind their impact. The most crucial channel is the rise in distortionary taxation (required to fund UBI) on labor force participation. Second in importance is the decline in self-insurance due to the insurance UBI provides, resulting in lower aggregate capital. Third, UBI creates a positive income effect lowering labor force participation. Alternative tax-transfer schemes mitigate the impact on labor force participation and the cost of UBI. Contact person: Søren Hove Ravn" "SODAS Data Discussion 7 October 2022";"SODAS";"2022-10-07";"11:00";"2022-10-07";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Data Discussion with Kristian Bernt Karlson and Anders Grundtvig";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Kristian Bernt Karlson, Department of Sociology, University of Copenhagen Title: Establishment of database of parents' occupations for twins born 1870-1930 Abstract: In this infrastructure project, I will establish a database containing information on the occupations of parents of around 10,000 twins born 1870 through 1930. The project involves digitizing and coding typed index cards collected in the 1950s and stored in the archives at the Danish Twin Registry. Once established, the database will provide a truly unique opportunity to examine how intergenerational social mobility changed during the first industrialization of Denmark. The database will feed directly into my ongoing ERC-funded project on the social mobility of siblings in historical and comparative perspective, and it will serve as a critical extension of the existing database that covers twins born 1931 through 2000. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: Anders Grundtvig, Department of Public Health, University of Copenhagen Title: YouTube as personal “helper” on user’s health journeys Abstract: The rapid development and pervasive character of the internet are changing the ways people are gaining information. With a few clicks we can search any information on our computers, smartphones, and now even on smart watches. These developments have transformed how and where people most frequently are obtaining health information, now mostly online. (Lee et al., 2015). Digitized health information can simply exists as a digital translation of existing information. But much of the health information generated and existing on the Social Web are not “just” digital translations of information. Health Information are digitalized into the infrastructures of the Social Web, where it transforms and becomes an integrated part of the performativity and activity of the Social Web, which Anders Grundtvig frames as being mediated by the Social Web. Anders Grundtvig is interested in how the Social Web as mediator of Online Health Information (OHI) is influencing patients' health journeys. How are digital infrastructure, online culture, algorithms and so forth, influencing the communication, visibility, content, and (re)configuration of the health information? And how are these influencing patients’ health journeys? YouTube is as one of the main actors of the Social Web, both in regard of the astonishing user traffic and its influence to society as a whole. YouTube is accommodating the role as an influential and far-reaching public health information provider by establishing the YouTube Health branch, where they explicitly and actively is stating their attention on helping their users on the users health journeys. On a blog they write: In our increasingly digital world, online sources have become an important resource for questions about our health. Whether you want to learn about the warning signs of stroke, understand the symptoms and treatment for breast cancer, or take charge of your heart health, YouTube is here to help you make informed decisions about your health journey. (Google, 2022). YouTube Health is in this way simply stating their considerate program of helping their users on their health journeys. But what does it mean to be helped by YouTube on a personal health journey? And how are they using that knowledge to help the user? What does YouTube know about each of our health and the health journeys we are on? What does informed decisions mean for YouTube? As a video sharing platform, YouTube is known for its extraordinary large quantities of content and for accommodating an exceptionally diverse variety of content. So what does “informed” mean for YouTube in this regard? Is “more”, and “diverse” information e.g. perceived by YouTube to facilitate better informed decisions? So, what happens when YouTube, as one of the largest tech companies in the world, with one of the most influential algorithms, and as one of the largest social media platform, actively and explicitly enact the role as the mediator of public health information to help users make informed decisions about their health journeys? How are the infrastructure and inherent logics of the platform influencing and shaping the users health journeys?" "Laura Pilossoph, Duke University";"CoLab seminar arranged by the Department of Economics";"2022-10-05";"13:15";"2022-10-05";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Gender Differences in Job Search Behavior and the Gender Earnings Gap: Evidence from the Field and the Lab"". CoLab seminar arranged by the Department of Economics.";"""Gender Differences in Job Search Behavior and the Gender Earnings Gap: Evidence from the Field and the Lab"" Abstract This paper investigates gender differences in the job search process, both in the field and lab. First, we collect rich information on job offers and acceptances from undergraduates of Boston University’s Questrom School of Business. We document two novel empirical facts: (1) there is a clear gender difference in the timing of job offer acceptance, with women accepting jobs substantially earlier than men, and (2) the gender earnings gap in accepted offers narrows in favor of women over the course of the job search period. To rationalize these patterns, we develop a job search model that incorporates gender differences in risk aversion and overoptimism about prospective offers. We validate the model assumptions and predictions using the survey data, and present empirical evidence that the job search patterns in the field can be partly explained by greater risk aversion displayed by women and the higher levels of overoptimism (and slower belief updating) displayed by men. Next, we replicate the findings from the field in a specially-designed laboratory experiment that features sequential job search, and provide direct evidence on the purported mechanisms. Our findings highlight the importance of risk preferences and beliefs for gender differences in job-finding behavior, and consequently, early career wage gaps among the highly-skilled. Joint with Patricia Cortes, Jessica Pan, and Basit Zafar Contact person: Daphné Jocelyne Skandalis" "Martin Holm, University of Oslo";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-10-03";"14:15";"2022-10-03";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Asset-Price Redistribution"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Asset-Price Redistribution"" Abstract Over the last several decades, there has been a large increase in asset valuations across many asset classes. These rising valuations had important effects on the distribution of wealth. However, little is known regarding their effect on the distribution of welfare. To make progress on this question, we derive a sufficient statistic for the (money metric) welfare effect of a change in asset valuations, which depends on the present value of an individual’s net asset sales: rising asset prices benefit prospective sellers and harm prospective buyers. We estimate this quantity using panel microdata covering the universe of financial transactions in Norway from 1994 to 2015. We find that rising asset valuations had large redistributive effects: they redistributed welfare from the young towards the old and from the poor towards the wealthy. Contact person: Jeppe Druedahl " "Ida Lykke Kristiansen forsvarer sin ph.d.-forsvar";"";"2022-09-30";"15:00";"";"";"Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5";"Ida Lykke Kristiansen forsvarer sin ph.d.-forsvar: ""Impacts of Childhood Circumstances and Physician Matches on Health and Human Capital Formation"". ";"Ida Lykke Kristensen forsvarer sin ph.d.-afhandling: ""Impacts of Childhood Circumstances and Physician Matches on Health and Human Capital Formation"". Ph.d.-forsvaret foregår i CSS 26.2.21 . Deltagelse pr. Zoom: https://ucph-ku.zoom.us/j/9536476672, passcode: 1234. Bedømmelsesudvalg Lektor Kasper Worm Hansen, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Nabinata Datta Gupta, Aarhus UniversitetProfessor Emilia Simeonova, Johns Hopkins University Abstract This dissertation contains three self-contained chapters. The three chapters evolve around two large and closely related topics 1) skill formation and 2) socio-economic inequalities. The chapters have one theory in common: The family we grow up in and the experiences we have during childhood affect us throughout life. In the first chapter, I study the effect of experiencing a severe, yet common, parental health event during childhood. When a close family member dies or gets severely ill it can impact many aspects of life, which is especially true for a child experiencing a parent's adverse health event. Severe parental health events are not randomly assigned in the population. I, therefore, use two different econometric methods to study the causal impact of these events. I show that children who experience that a parent dies or gets severely ill, have a higher use of therapy and anti-depressant medication. The effect appears immediately and persists into early adulthood. In addition, I find that the children do worse in terms of educational outcomes, the children achieve lower test scores and have lower school enrollment rates. The lower school enrollment rate persists and translates into a lower educational attainment in early adulthood. The result highlights that children are particular sensitive in the transition between different parts of the school system. The second chapter is written together with Sophie Yanying Sheng. In this chapter we ask, can primary care physicians from families with low socio-economic status (SES) reduce the socio-economic gradient in health? We find that when low-SES patients are allocated to a physician with a similar family background, their health is improved. The health of high-SES patients is unaffected by their physician's family background. We find that SES concordance between physician and patient reduces a substantial part of the SES gradient in mortality. This effect is mainly driven by a large reduction in the SES gradient in cardiovascular mortality. To investigate how SES concordance reduces patient mortality, we study patients' health behavior and treatments in the primary care setting. Low-SES patients with low-SES physicians receive more care at the intensive margin; make more office visits per year, receive more services per visit, and get more medical services from medical specialists. SES concordance increases detection of chronic conditions and adherence to treatment for patients with pre-existing conditions.The third and final chapter is written together with Mikkel Aagaard Houmark, Cecilie Marie Løchte Jørgensen, and Miriam Gensowski. In this chapter, we study how children's socio-emotional skills and well-being in adolescence are affected by an increase in the duration of parental care during infancy. We exploit a reform from 2002 that extended paid parental leave and effectively delayed children's entry into formal out-of-home care. We show that longer leave increases adolescent well-being, conscientiousness, and emotional stability, and reduces school absenteeism measured around age 14. The effects are strongest for children of mothers who would have taken short leave in absence of the reform. The result highlights that time spent with a parent is particularly productive during very early childhood." "EDGE Jamboree 2022";"";"2022-09-22";"09:00";"2022-09-23";"";"Department of Economics, University of Copenhagen, CSS 26.2.21";"Once a year, EDGE organizes a joint conference, the Jamboree, at which doctoral students and faculty members of the EDGE institutions participate.";"Once a year, EDGE organizes a joint conference, the Jamboree, at which doctoral students and faculty members of the EDGE institutions participate. The Jamboree is a platform where the more advanced students present their research. Furthermore, the Jamboree offers doctoral students the possibility to acquire more information about the partner universities, or to refresh the contacts made at their host universities. The executive committee has its regular annual meeting at the Jamboree. Programme Thursday September 22 9:00 – 9:10 Welcome 9:10 – 10:50 Session 1 (chair: Jakob Munch)Tacye Hong (Cambridge), The Effects of Trade Policy Uncertainty on Exporters and Multinational FirmsDiscussant: Lena Specht (Dublin)Kenza Elass (Marseille), What do women want in a job? Gender-biased preferences and the reservation wage gapDiscussant: Adrian Chung (Cambridge) 10:50 – 11:10 Coffee break 11:10 – 12:50 Session 2 (chair: Weilong Zhang)Lavinia Kinne (Munich), Good or Bad News First? The Effect of Feedback Order on Motivation and PerformanceDiscussant: Goonj Mohan (Bocconi)Lucie Martin (Dublin), The Intra-Household Distribution of Administrative Tasks: Time-Use, Responsibilities, and Experienced Well-BeingDiscussant: Suzanna Khalifa (Marseilles) 12:50 – 14:10 Lunch 14:10 – 15:50 Session 3 (chair: Ivan Pastine)Edith Zink (Copenhagen), Democratization and Decentralization – Sub-national dynamics after the Arab Uprisings in TunisiaDiscussant: Jean-Victor Alipour (Munich)Giovanni Morzenti (Bocconi), Antitrust Policy and InnovationDiscussant: Tacye Hong (Cambridge) 15:50 – 16:10 Coffee break 16:10 – 17:50 Session 4 (chair: Jakob B. A. Sørensen)Lena Specht (Dublin), International trade effects of student migrationDiscussant: Lavinia Kinne (Munich)Lauge Truels Larsen (Copenhagen), Tax Enforcement in a Globalized Economy: The Compliance Effect of Automatic Information ExchangeDiscussant: Giovanni Morzenti (Bocconi) 19:00 – Dinner at Café Stadion, Nørre Allé 27, 2200 København N Friday September 23 9:00 – 10:40 Session 5 (chair: Matthias Lang)Suzanna Khalifa (Marseilles), Female Genital Cutting and Bride-PriceDiscussant: Edith Zink (Copenhagen)Adrian Chung (Cambridge), Multidimensional Screening in College Admissions: Should Top Colleges Admit Students Through A Lottery?Discussant: Lucie Martin (Dublin) 10:40 – 11:00 Coffee break 11:00 – 12:40 Session 6 (chair: Lorenzo Rotunno)Goonj Mohan (Bocconi), The Data Economy and Polarization on Social MediaDiscussant: Lauge Truels Larsen (Copenhagen)Jean-Victor Alipour (Munich), No Surprises, Please: Voting Costs and Electoral TurnoutDiscussant: Kenza Elass (Marseilles) 12:40 – 14:00 Lunch 15:30 Copenhagen Canal Tour EDGE is short for European Doctoral Group in Economics. It is a network with the purpose of promoting the exchange of doctoral students to to support them in conducting economic research at the highest international level and to get a broad perspective on economic policy issues. EDGE organize an annual conference, the Jamboree, to be nheld at partner institutions. And this year we at UCPH have the honor to hos the Jamboree." "Ingrid Hägele, Ludwig-Maximilians University of Munich";"CoLab seminar arranged by the Department of Economics";"2022-09-20";"13:15";"2022-09-20";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Broken Rung: Gender and the Leadership Gap"". CoLab seminar arranged by the Department of Economics";"""The Broken Rung: Gender and the Leadership Gap"" Abstract Women are vastly underrepresented in leadership positions, but little is known about when and why gender gaps in career progression first emerge in the leadership hierarchy. I collect new data from a large multinational firm that combines detailed personnel records with the universe of internal application and job vacancies. By constructing a granular measure of job hierarchy, I document that women at lower hierarchy levels are 29% less likely to apply for promotions. No such gaps exist among employees who already hold leadership positions, indicating the presence of a broken rung rather than a glass ceiling. Both realized application patterns and large-scale surveys at the firm reveal that taking on leadership of a team is less appealing to women than men at lower hierarchy levels. This difference is large and not explained by a range of other factors, such as family status, risk preferences, or confidence. These findings suggest that the current architecture of leadership positions is an impediment to equal representation. Contact person: Daphné Jocelyne Skandalis" "Pontus Rendahl, Copenhagen Business School ";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-09-19";"14:15";"2022-09-19";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The Risk-Premium Channel of Uncertainty: Implications for Unemployment and Inflation"". Macroeconomics Seminar, arranged by the Department of Economics.";"""The Risk-Premium Channel of Uncertainty: Implications for Unemployment and Inflation"" Abstract This paper studies the role of macroeconomic uncertainty in a search-and-matching framework with risk-averse households. Heightened uncertainty about future productivity reduces current economic activity even in the absence of nominal rigidities. A risk-premium mechanism accounts for this result. As future asset prices become more volatile and covary more positively with aggregate consumption, the risk premium rises in the present. The associated downward pressure on current asset values lowers firm entry, making it harder for workers to find jobs and reduces supply. With nominal rigidities the recession is exacerbated, as a more uncertain future reinforces households’ precautionary behavior, which causes demand to contract. Counterfactual analyses using a calibrated model imply that unemployment would rise by less than half as much absent the risk-premium channel. The presence of this mechanism implies that uncertainty shocks are less deflationary than regular demand shocks, nor can they be fully neutralized by monetary policy. Contact Jeppe Druedahl " "SODAS Data Discussion 16 September 2022";"SODAS";"2022-09-16";"11:00";"2022-09-16";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Data Discussion with Martin Lund Trinhammer and Andreas Bjerre-Nielsen, Martin Benedikt Busch, Helene Willadsen & Ingo Zettler";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Martin Lund Trinhammer, Department of Psychology, University of Copenhagen (co-authored work with A.C. Holst Merrild, J.F. Lotz and G. Makransky) Title: Predicting crime during or after psychiatric care: Evaluating machine learning for risk assessment using the Danish patient registries Abstract: Structural changes in psychiatric systems have altered treatment opportunities for patients in need of mental healthcare. These changes are possibly associated with an increase in post-discharge crime, reported in the increase of forensic psychiatric populations. As current risk-assessment tools are time-consuming to administer and offer limited accuracy, this study aims to develop a predictive model designed to identify psychiatric patients at risk of committing crime leading to a future forensic psychiatric treatment course.We utilized the longitudinal quality of the Danish patient registries, identifying the 45.720 adult patients who had contact with the psychiatric system in 2014, of which 474 committed crime leading to a forensic psychiatric treatment course after discharge. Four machine learning models (Logistic Regression, Random Forest, XGBoost and LightGBM) were applied over a range of sociodemographic, judicial, and psychiatric variables.This study achieves a F1-macro score of 76%, with precision = 57% and recall = 47% reported by the LightGBM algorithm. Our model was therefore able to identify 47% of future forensic psychiatric patients, while making correct predictions in 57% of cases. The study demonstrates how a clinically useful initial risk-assessment can be achieved using machine learning on data from patient registries. The proposed approach offers the opportunity to flag potential future forensic psychiatric patients, while in contact with the general psychiatric system, hereby allowing early intervention initiatives to be activated. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenters: Andreas Bjerre-Nielsen, Martin Benedikt Busch, Helene Willadsen and Ingo Zettler, Department of Economics, Department of Psychology and SODAS, University of Copenhagen. Title: Network knowledge and cooperation Abstract: The ability to recognize cooperators is necessary for sustaining the high levels of cooperation characteristic of human societies. A large body of literature, using laboratory experiments, has explored the role of reputation by unveiling individuals’ previous behavior. These experiments show that individuals with a cooperative reputation are often chosen as partners in settings that allow cooperation. Yet, existing literature has not comprehensively answered how people select cooperative partners when lab-based reputation is unavailable. Using three data inputs, we wish to test the hypothesis that network knowledge increases the ability to choose cooperative partners. First, we use administrative data from the University of Copenhagen alongside Statistics Denmark. Second, we use a survey to elicit the network of at least two TA classes from different study programs. Third, we conduct a Prisoner’s Dilemma experiment with partner choice to investigate cooperativeness and the ability to choose cooperating partners. In this data discussion, we will primarily present our lab experiment." "Beatriz Gonzales, Banco de España ";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-09-12";"14:15";"2022-09-12";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Firm Heterogeneity, Capital Misallocation and Optimal Monetary Policy"". Macroeconomics Seminar, arranged by the Department of Economics.";"""Firm Heterogeneity, Capital Misallocation and Optimal Monetary Policy"" Abstract We analyze monetary policy in a New Keynesian model with heterogeneous firms and financial frictions. Firms differ in their productivity and net worth and face collateral constraints that cause capital misallocation. TFP endogenously depends on the time-varying distribution of firms. A monetary expansion increases the investment of constrained firms with a high marginal revenue product of capital (MRPK) relatively more than that of low-MRPK ones, crowding out the latter and increasing TFP. We provide empirical evidence based on Spanish granular data supporting this mechanism. This has important implications for optimal monetary policy design. First, a central bank without pre-commitments engineers an unexpected monetary expansion to increase TFP in the medium run. Second, the divine coincidence holds after a demand shock. Third, if nominal rates are constrained by the zero lower bound, the optimal policy prescribes that rates should remain low for much longer than under complete markets. Contact person: Jeppe Druedahl " "Lunch Talk: Digital Social Science Perspectives on the War in Ukraine ";"Faculty of Social Sciences ";"2022-09-09";"12:00";"2022-09-09";"13:00";"4.1.02";"Three SODAS researchers will be presenting perspectives on the war in Ukraine at the Lunch Talk held on the 9th September ";"Since Spring 2022 the Faculty of Social Science have hosted Lunch Talks, where researchers from the Faculty of Social Sciences have offered their analyses and perspectives on the war in Ukraine in a series of Friday Lunch Talks. At the talk on the 9th September three SODAS researchers will offer their perspectives on the war along with colleagues from the Faculty The following researchers will share their research and perspectives: Frederik Hjorth (SODAS and Department of Political Science): Public Support for Wartime Communication Bans Hjalmar Bang Carlsen (SODAS and Department of Sociology): Mapping the mobilisation in solidarity with Ukrainian refugees in Danish informal civil society Jakob Dreyer (Department of Political Science): The threat-sacrifice paradox: Willingness to sacrifice in the face of a war and climate polycrisis. Myunghee Lee (NIAS and Department of Political Science): China on the Ukraine War: Analysing China's Narrative Toward the War Yevgeniy Golovchenko (SODAS and Department of Political Science): Censorship on YouTube During Russia's Invasion of Ukraine " "Dynamic Effects of Public Expenditure";"";"2022-09-07";"08:45";"";"13:55";"Building 1, Ground Floor, Room 10 (CSS 1.0.10). Øster Farimagsgade 5";"Arranged by Bertel Schjerning";"How to find us 08.45 - 09.00 Coffee and croissants 09.00 - 09.30 Paul Bingley (VIVE): Elasticity of taxable (labor) income: 40 years with excess bunching? 09.30 - 10.00 Maria Juul Hansen (UCPH) and Christian Langholz Carstensen (UCPH): Adjusting the education menu: Conditioning admission rates on labor market performance 10.00 - 10.30 Michael Svarer (AU): Consumption and public sector activities – what is the trade-off? 10.30 - 10.50 Coffee Break 10.50 - 11.20 Maria Juul Hansen and Christian Langholz Carstensen: Settling on Lynetteholm: Effects on house prices, moving patterns and welfare 11.20 - 11.40 Gauthier Lanot (Umeå University): Indirect inference for the elasticity of taxable income 11.40 - 12.00 Kurt Houlberg (VIVE): Dynamic effects of public spending in a multilevel Governance perspective 12.00 - 12.45 Lunch 12.45 - 13.15 Nicolai Kristensen (VIVE): Fiscal balance returns to schooling and the surrogate index in DCDP models 13.15 - 13.35 Mathilde Almlund (VIVE): Assessing the welfare effects of public expenditures 13.35 - 13.55 Bertel Schjerning (UCPH) and Fedor Iskhakov (ANU): A dynamic game of marriage, divorce, fertility, labor supply and childcare 18.00 - 20.15 Dinner at Scarpetta (Rantzausgade 7, 2200 Copenhagen N)" "Renato Faccini, Danmarks Nationalbank";"Macroeconomics Seminar, arranged by the Department of Economics";"2022-09-05";"14:15";"2022-09-05";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Job Mobility and Inflation"". Macroeconomics Seminar, arranged by the Department of Economics";"""Job Mobility and Inflation"" Abstract The low rate of inflation observed in the U.S. over the past decade is hard to reconcile with traditional measures of labor market slack. We develop a theory-based indicator of interfirm competition that can explain the missing inflation. Key to this result is a drop in the rate of on-the-job search, which lowers the intensity of inter.rm wage competition to retain or hire workers. The on-the-job search rate can be measured directly from aggregate labor-market flows and its recent drop is corroborated by micro data. Contact person: Jeppe Druedahl" "Health Economics Workshop";"";"2022-08-29";"09:00";"2022-08-30";"17:00";"University of Copenhagen, Øster Farimagsgade 5, building 26, DK-1353 Copenhagen";"We bring together researchers in health economics who share an interest in health and life expectancy inequalities, heterogeneous benefits from health innovations and doctor/patient interaction.";"2nd Workshop on Behavioral responses to health innovations and the consequences for socioeconomic outcomes Researchers and the industry produce new knowledge, treatments, and technologies that constantly improve population health. However, the benefits of health innovations are unequally distributed. New health technologies spread at a different pace across groups in society, potentially allowing the high-educated groups to be more productive, have longer working lives, and invest more to finance an extended period of healthy retirement. This workshop will bring together researchers in health economics who share an interest in these topics, including health and life expectancy inequalities, heterogeneous benefits from health innovations and doctor/patient interaction. Keynote speakers Kathleen McGarry, UCLA Petra Persson, Stanford Programme Programme Scientific committee and local organizers Mette Gørtz and Torben Heien Nielsen, University of Copenhagen, Department of Economics and Center for Economic Behavior and Inequality Venue The conference will be held at the City Campus (known as CSS) of the University of Copenhagen in the heart of Copenhagen: 2nd and 3rd floor Building 26 Department of Economics, University of CopenhagenØster Farigmagsgade 5DK-1353 Copenhagen Please note that it can be difficult to find your way around at our campus, so we strongly recommend that you enter the campus area via the entrance at: Gammeltoftsgade 17-19 DK-1353 CopenhagenThe entrance is located right next to Building 26, where the conference takes place. Conference dinner The conference dinner takes place August 29 at 18:00 at Chambre at Jernbanegade 4DK-1608 Copenhagen Transport in Copenhagen Our campus is located in walking distance from Nørreport station. From the airport you can take the train or metro directly to Nørreport station. You can buy either single tickets or perhaps a “Small city pass” that is valid for 24 hours to 5 days in tickets automats at all stations. " "PhD Defense on “Planetary Social and Behavioral Data Science”";"University of Copenhagen & SODAS";"2022-08-19";"15:00";"";"";": University of Copenhagen, building 35, auditorium 35.01.06, Gammeltoftsgade 13, 1353 Copenhagen K. ";"SODAS PhD student Kelton Ray Minor will defend his dissertation “Planetary Social and Behavioral Data Science” on Friday, 19th August at 3pm CET. ";"SODAS PhD student Kelton Ray Minor will defend his dissertation “Planetary Social and Behavioral Data Science” on Friday, 19th August at 3pm CET. Abstract: Climate change and other anthropogenic disruptions to Earth’s natural systems are increasing the frequency and intensity of many environmental stressors that span across county, state and country borders, posing a planetary adaptive challenge for society. The sheer spatial and temporal extent of many regionally intensifying stressors – including Arctic amplification, nighttime warming, heatwaves and extreme precipitation events – demand new approaches for monitoring their complex human impacts and responses at scale. Responding to this challenge, this articles-based dissertation explores how highly resolved psychosocial, environmental and digital-trace data – from national surveys, personal sensing, weather stations, satellites, social media and smartphones – can help to understand and inform human adjustment to complex environmental stressors in a changing world. Place: University of Copenhagen, building 35, auditorium 35.01.06, Gammeltoftsgade 13, 1353 Copenhagen K. For those who are not able to be there in person, you can attend remotely via Zoom (6am PT, 7am MT, 9am ET, 14:00 GMT, 15:00 CET)" "Hans Henrik Sievertsen, University of Bristol:""Playing the system: address manipulation and access to education""";"Department of Economics, UCPH";"2022-08-17";"12:00";"";"";"Department of Economics, UCPH, CSS 26.2.21";"Department Seminar";"Abstract Combining Danish survey data and administrative records we provide evidence of strategic address changes among high school applicants. We exploit policies variation and study mobility patterns to verify that these moves are likely to be driven by incentives to increase chances for admission to preferred high schools, and unlikely to be driven by other motives. Finally, we investigate, both theoretically and empirically, how this behavior affects efficiency and increases inequality in school choice mechanisms" "Volha Lazuka, SDU:""Household and individual economic responses to different health shocks""";"Department of Economics, University of Copenhagen";"2022-08-16";"11:00";"";"";"Department of Economics, CSS 26.2.21";"Department Seminar";"AbstractThis study provides new evidence regarding the extent to which medical care mitigates the economic consequences of various health shocks. To obtain causal effects, I focus on the role of medical scientific discoveries and leverage the longitudinal dimension of unique administrative data on adults in Sweden, their partners, and their working-age children. The results indicate that medical innovations strongly mitigate the negative economic consequences of a health shock, including subsequent losses for the individual and close relatives, and income inequalities within these groups. Such mitigating effects are highly heterogeneous across diseases that cause health shocks. These results support the view that the economic repercussions of health shocks have been overlooked, and there is a lack of focus on the efficiency of medical care for specific health conditions." "Ermias Gebru Weldesenbet forsvarer sin ph.d.-afhandling";"";"2022-07-29";"13:00";"";"";"Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, bygning 26, CSS 26.2.21";"";"Ermias Gebru Weldesenbet forsvarer sin ph.d.-afhandling: ""Empirical Essays on the Long-term Outcomes of Childhood Experiences: Poverty, Weather Shock, and Migration"" Ph.d.-forsvaret foregår i CSS 26.2.21 kl. 13:00.For at overvære forsvaret pr. zoom, se dette link: https://ucph-ku.zoom.us/j/9536476672, passcode: 1234. En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Finn Tarp, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Carol Newman, Trinity College London Professor Remco Oostendorp, Vrije Universiteit Amsterdam Abstract The Ph.D. thesis contains three self-contained chapters, focusing on the long-term outcomes of different childhood experiences. Because children are vulnerable to early life experiences, whether they have a good or bad start has long-term implications on their life. For that reason, understanding childhood conditions that affect later life outcomes is of paramount importance to policymaking. While there is a large body of literature on developed countries, the empirical investigation of early life conditions for developing countries, especially sub-Saharan Africa, has been constrained mainly due to the lack of longitudinal data following children for a long time. The thesis seeks to address this lacuna in African research by exploring three diverse childhood conditions affecting outcomes in adulthood. Chapter 1, “Intergenerational Poverty Transmission in Tanzania: The role of parental resources”, explores the extent of intergenerational poverty as well as one of the mechanisms of poverty transmission in Tanzania using a long-running household panel data. I find that the risk of falling into poverty remained low, while the probability of escaping from poverty increased between childhood and adulthood. In adulthood, children from poor families have a poverty risk (0.38) three times higher than those from non-poor family backgrounds (0.13). Investigating the role of parental resources in the intergenerational transmission of poverty, I find that parental financial resource in childhood is strongly associated with an individual’s poverty risk in early adulthood. The results further indicate that human capital investment in children mediates some of the effects of childhood parental resources on economic status in adulthood. The results imply that interventions supporting low-income families build their children’s human capital are essential to break the intergenerational cycle of poverty.Chapter 2, “The Long-Term Effects of Early-Life Exposure to Weather Shocks: Evidence from Tanzania”, examines whether early-life exposure to rainfall shocks has a long-term impact on individuals' health, education, and socioeconomic status in rural Tanzania, where livelihoods heavily depend on rain-fed agriculture. I use a unique panel of data from a Kagera Health and Development Survey (KHDS) in which children were followed from childhood (1991) to adulthood (2010), together with historical rainfall data. I find that rainfall in the birth year affects the education and socioeconomic statuses of children in adulthood. A 15 percent increase in rainfall in one's birth year and birth village (relative to average village rainfall) leads children to have 0.21 more years of schooling and live in a household in 2010 that scores 0.19 higher on an asset index. I then explore the relationship between early-life rainfall and childhood nutritional status to identify early-life rainfall's initial effect. Higher birth-year rainfall leads to significant decreases in height and weight deficits in children. A 15 percent increase in rainfall in one's birth year and birth village (relative to average village rainfall) improves the height-for-age z score by 0.20 and weight-for-age z score by 0.26. When taken together, the results point to the importance of early childhood nutrition intervention.Chapter 3, “Emigration and education: the schooling of the left behind in Nigeria” (joint with Biniam Bedasso and Nonso Obikili), investigates the impact of family migration on left-behind children educational attainment using household survey data from Nigeria. Because the migration status of households is endogenous, we use the proportion of migrants in a local district and historical exposure to foreigners as proxied by distance to foreign missionary station in 1921 as instruments for migration of household members. We find that being in a migrant household increases the probability of completing secondary school and attending some postsecondary education. We also find that belonging to a migrant household increases the probability of own future migration. We further explore channels through which the migration of family members affects education. We provide tentative evidence suggesting that anticipation of own future migration may be behind increased educational attainment." "Helge Zille forsvarer sin ph.d.-afhandling";"";"2022-06-23";"14:00";"";"";"";"Helge Zille forsvarer sin ph.d.-afhandling: ""The Political Economy of Interstate Conflicts and Industrial Development""";"Helge Zille forsvarer sin ph.d.-afhandling: ""The Political Economy of Interstate Conflicts and Industrial Development"". Ph.d.-forsvaret foregår i CSS 26.2.21. Deltagelse pr. Zoom: https://ucph-ku.zoom.us/j/9536476672, passcode: 1234 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Tony Addison, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Carol Newman, Trinity College, DublinAssociate Professor Brian McCaid, Wilfred Laurier University, Canada. Abstract This PhD thesis consists of three self-contained chapters within the fields of international and development economics. Chapter 1: The Role of Labor Composition and Quality in Determining the Productivity-Wage Gap: Evidence from Industrial Zones in Myanmar – with John Rand, Finn Tarp, and Neda Trifković The first chapter uses a large nationally representative survey of private manufacturing enterprises to estimate productivity and wage gains associated with industrial zones in Myanmar. Moreover, we investigate the contribution of the industrial zones in facilitating agglomeration and human capital returns to firms and workers. Our results show that being located in an industrial zone is associated with higher value added per worker, but this is not entirely reflected in worker wages. Productivity gains related to agglomeration and hiring of trained workers are larger in industrial zones than elsewhere. While increasing the share of women workers can lead to short-term productivity losses, our estimates show that worker wages improve in firms with a higher share of women workers. Our results highlight the role of labor force quality and composition in affecting the firm performance, but also illustrate that the benefits from industrial zones extend beyond agglomeration, bringing out the advantages of planned industrial zones as opposed to relying on innate industrial clustering. Chapter 2: Brothers in Arms, Brothers in Trade? Measuring the Effect of Violent Conflicts on Trade with Third-Party Countries The second chapter contributes to the old and ongoing discussion about the relationship between violent conflicts and international trade. Empirical research in the 1990s and early 2000s has established that violent interstate conflicts harm international trade. While most of this literature dates back at least 10 to 20 years, the effect of interstate conflicts on trade with third-party countries has been neglected for most of the time in the literature. In this chapter, I attempt to fill this gap. A period of 46 years is covered in the analysis, using more than 500 thousand dyad-year observations. The third-party country dimension is derived from a triadic data set, which covers all possible country-triad combinations for the studied period. I find that violent interstate conflicts reduce trade with third-party countries, and that they cause a shift in trade towards allied countries and away from the enemy’s allies. Countries increase imports from members of the same security alliance by between 1 and 4 percent, and trade more with countries that have the same enemies by between 5 and 7 percent. They reduce trade with the formal allies of their enemies by between 9 and 14 percent. This negative trade shifting effect is further amplified by the size of the respective conflict country. This chapter contributes to the literature on conflict and trade in two ways: First, by adding to the scarce literature introducing a third-country dimension into standard gravity models and into the literature on conflict and trade. And second, by showing the importance of a spatially dynamic perspective on interstate conflicts. Chapter 3: The Ownership of Pioneer Firms: The Role of State-Owned and Multinational Enterprises in Industrial Diversification in Vietnam – with Bjørn Bo Sørensen, Henrik Hansen, and John Rand In the third chapter, we study the ownership of pioneer firms that establish market activities in provinces where such activities did not previously exist. Using the Vietnamese Enterprise Survey (2001-2017), which allows us to track close to one million formal firms over time, we explore whether Vietnam’s remarkable industrial diversification during the past two decades was driven by state-owned, multinational, or domestic and privately owned enterprises (SOEs, MNEs, or PDEs). We document significantly higher ownership-specific pioneering frequencies in SOEs and MNEs compared to PDEs, also after controlling for a broad spectrum of observable characteristics. Using a simple conceptual framework, we attribute these differences to variations in access to capital, knowledge of firm- and industry productivity, and firm-specific strategies and policy objectives. Second, we investigate the dynamic employment effects in industries pioneered by different firms. We find a large employment premium in MNE-pioneered industries. The premium is driven entirely by employment in pioneering MNEs and other MNEs following the pioneer in subsequent years. In contrast, there is no employment premium in industries pioneered by SOEs relative to PDEs. Pioneering SOEs are systematically larger than pioneering PDEs, but this direct employment effect is counterbalanced by less employment in PDEs and MNEs in SOE-pioneered industries in the long run." """CANCELLED"" - Leonardo Bursztyn, University of Chicago ";"Department of Economics";"2022-06-22";"14:00";"2022-06-22";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Justifying Dissent"". AE seminar arranged by the Department of Economics.";"""Justifying Dissent"" Abstract Dissent plays an important role in any society, but dissenters are often silenced through social sanctions. Beyond their persuasive effects, rationales providing arguments supporting dissenters’ causes can increase the public expression of dissent by providing a “social cover” for voicing otherwise stigmatized positions. Motivated by a simple theoretical framework, we experimentally show that liberals are more willing to post a Tweet opposing the movement to defund the police, are seen as less prejudiced, and face lower social sanctions when their Tweet implies they had first read scientific evidence supporting their position. Analogous experiments with conservatives demonstrate that the same mechanisms facilitate anti-immigrant expression. Our findings highlight both the power of rationales and their limitations in enabling dissent and shed light on phenomena such as social movements, political correctness, propaganda, and anti-minority behavior Read more about Leonardo Bursztyn Contact person: Casper Worm Hansen" "SODAS Lecture with Claes de Vreese";"SODAS";"2022-06-17";"11:00";"2022-06-17";"12:30";"CSS, SODAS conference room 1.2.26 ";"Automated democracy: how digital technologies and AI are challenging democracy";"Titel: Automated democracy: how digital technologies and AI are challenging democracy Abstract: Digital technologies, automation, and AI are changing democratic processes and challenging (public) institutions. In this SODAS lecture, Claes de Vreese will provide an overview of these challenges and offer results from ongoing research on the implications of these changes. Bio: Claes de Vreese is professor of political communication and currently Distinguished University professor of AI and society with a special emphasis on media and democracy at the University of Amsterdam. He is also founding director of the Centre for Digital Democracy at the University of Southern Denmark SDU. T: @claesdevreese This spring, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted Human Being human in 2022 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors. Venue: CSS, Sodas conference room 1.2.26" "Patrick Thöni forsvarer sin ph.d.-afhandling";"";"2022-06-14";"11:00";"";"";"Økonomisk Insitut, Københavns Universitet, Øster Farimagsgade 5, CSS 26.2.21";"Patrick Thöni forsvarer sin ph.d.-afhandling:""Essays on Financial Transaction Taxes. Impact on Trading Volume, Market Composition and Liquidity"".";"Patrick Thöni forsvarer sin ph.d.-afhandling: ""Essays on Financial Transaction Taxes. Impact on Trading Volume, Market Composition and Liquidity."" Ph.d.-forsvaret foregår i CSS 26.2.21. Deltagelse pr. Zoom: https://ucph-ku.zoom.us/j/9536476672, passcode: 1234 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Nick Vikander, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Antonio Guarino, University College LondonLektor Jean-Edouard Colliard, HEC, Paris Abstract Financial Markets have undoubtedly played a crucial role in the economic development and technological growth the world has experienced over the last century. The availability of liquid markets greatly facilitates the opportunities of raising capital and risksharing, allowing the financing of large-scale real enterprises. Additionally, it enables savers to increase their returns while diversifying their risk. On the other hand, liquid markets also allow for speculative trading, which ultimately can lead to a misallocation of resources. This fundamental trade-off is what lies at the core of the original idea of a financial transaction tax (FTT). While proponents of FTTs highlight their potential to curb speculation driven by short term incentives, opponents argue that it would harm market quality by decreasing overall liquidity, interfering with price discovery and raising the cost of capital. This thesis furthers the existing body of work on this key tension surrounding FTTs from a financial microstructure perspective. By means of both theoretical and empirical analysis, the three self-contained chapters presented in this dissertation investigate the impact of FTTs on trading volume and migration, trader composition and ultimately market quality. In the first chapter, ""On the Non-Homogeneous Effect of Financial Transaction Taxes"", I investigate the introduction of a linear tax in the classic setting presented in Kyle (1985, ""Continuous Auctions and Insider Trading."" Econometrica 53: 1315–1335). Analysis of the benchmark model confirm negative effects of taxation on market liquidity found by most of the previous literature. Importantly, I also find that taxation, through the creation of a no-trade zone, forces the market maker toprice the asset non-linearly with respect to traded quantities. This non-linearity, in turn, leads to heterogeneity’s in the impact of the FTT across different trading sizes. While for large trades taxation only leads to increased spreads and prices, small tradesalso experience a decrease in market depth and trading aggressiveness compared to a market without taxation. The second chapter, ""Financial Transaction Taxes and Trading Migration"", somewhat departs from the approach and issues generally discussed in the existing theoretical literature. This paper aims at characterizing trading migration inducedby taxation, and its effects on trader composition and market quality. I investigate the introduction of taxation in a multi-market setting, where traders are allowed to trade in stocks and the respective option markets. Equilibrium analysis in this settingprovides the following intuitions. First, taxation of equity and derivatives, conditional on the same tax rate and function being applied to both markets, will lead to asymmetric effects due to the leveraged nature of derivatives. Second, taxation can resultin positive effects on liquidity if trading migration is allowed. This result arises due to an alleviation of the adverse selection problem, caused by migration of informed traders to the untaxed market. If effects of taxation on market makers are taken intoconsideration, the impact on liquidity becomes ambiguous. Specifically, increased cost of providing liquidity due to taxation will lead to negative effects on liquidity due to less competition among market makers. Therefore, the combined effect of taxation inthis setting depends on the relative magnitude of these two forces. Finally, in the third and last chapter, ""Multi-Market Effects of Financial Transaction Taxes: Evidence from Italy, France and Spain"" (coauthored with Vincent Wolff), we empirically explore some of the predictions made in the previous chapters. We leverage quasi-random experiments in France, Italy and Spain to investigate the introduction of FTTs across equity, derivative and OTC markets. We find striking differences in the effect of taxation on volume and liquidity across countries, whichcan largely be attributed to differences in tax design. Italy experienced trading migration across regulated and OTC equity markets as well as significant negative effects on aggregate liquidity. We rationalize the latter through increased informed trading migrated from OTC markets as well as increased costs of providing liquidity due to the specific tax design implemented in Italy. In France and Spain we do not find evidence of trading migration across regulated and non-regulated equity markets. In turn, regulated equity markets experienced significant drops in trading volume, accompanied by very mild effects on aggregate liquidity. Additionally, we do not find evidence of trading migration across equity and regulated derivative market. We therefore reject the idea that payoffs of taxed assets are replicated through standardized derivative products. " "Jean-Edouard Colliard, HEC Paris";"FRU (Finance Research Unit)";"2022-06-14";"09:00";"2022-06-14";"10:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Algorithmic Pricing and Liquidity in Securities Markets"". Seminar arranged by FRU (Finance Research Unit)";"""Algorithmic Pricing and Liquidity in Securities Markets"" Abstract We run experiments in which machine-learning algorithms play a standard market-making game under adverse selection. We study how the outcome of these experiments differs from standard equilibrium predictions. We find that a monopolist market-maker charges a price lower than the standard monopoly price. In contrast, competing market-makers charge a price at a mark-up above the competitive price. We run comparative statics exercises that deliver new empirical predictions. In particular, the mark-up decreases in the amount of adverse selection. Beyond the case of market-making, our framework is a step towards developing novel predictions on the impact of algorithmic trading in financial markets. Contact person: Peter Norman Sørensen" "John Mondragon, SF Fed";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2022-06-10";"15:00";"2022-06-10";"16:00";"Virtuel zoom seminar";"""Housing Demand and Remote Work"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Housing Demand and Remote Work"" Abstract What explains record U.S. house price growth since late 2019? We show that the shift to remote work explains over one half of the 23.8 percent national house price increase over this period. Using variation in remote work exposure across U.S. metropolitan areas we estimate that an additional percentage point of remote work causes a 0.93 percent increase in house prices after controlling for negative spillovers from migration. This cross-sectional estimate combined with the aggregate shift to remote work implies that remote work raised aggregate U.S. house prices by 15.1 percent. Using a model of remote work and location choice we argue that this estimate is a lower bound on the aggregate effect. Our results imply a fundamentals-based explanation for the recent increases in housing costs over speculation or financial factors, and that the evolution of remote work is likely to have large effects on the future path of house prices and inflation. Read more about John Mondragon Contact person: Patrick Moran" "SODAS Data Discussion 10 June 2022";"SODAS";"2022-06-10";"11:00";"2022-06-10";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Data Discussion with Yevgeniy Golovchenko, Frederik Hjorth & Cathrine Kjær, and Hjalmar Bang Carlsen & Tobias Gårdhus";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Yevgeniy Golovchenko, Department of Political Science and SODAS, University of Copenhagen (co-authored work with Jonas Skjold Raaschou-Pedersen, Kristina Aleksandrovna Pedersen and Anna Rogers) Title: Censorship on YouTube During Russia's Invasion of Ukraine Abstract: The war in Ukraine takes place both on the battle fields as well as the information space. A lot of attention has been given to “information warfare” in the form of production and distribution of propaganda and disinformation on social media. However, the struggle for “truth” takes also place in the form of information control – both in Russia as well as liberal democracies. Using data from YouTube, one of most popular social media in the world, we examine the effects of Russian censorship laws as well as YouTube’s own effort to curb Russian state-affiliated propaganda on commenting engagement. With the empirical results we hope to contribute to the ongoing debate within the broader public as well as censorship scholarship on the effectiveness of online bans. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenters: Frederik Hjorth and Cathrine Kjær, Department of Political Science and SODAS, University of Copenhagen. Title: Public Support for Wartime Communication Bans Abstract: On March 2nd, 2022, the European Commission banned Russian state-controlled media outlets RT and Sputnik for all EU operators with reference to the 'systematic disinformation over Russia's invasion of Ukraine'. Critics of the ban argued that by curbing free speech, the ban compromises foundational principles of liberal democracy. The ban and the ensuing debate reignite a perennial tension in liberal democracy: is it permissible to restrict communication in the name of national security and who should be the primary actors when it comes to decisions like these? In a pre-registered survey experiment on a representative sample of Danish citizens, we investigate levels and predictors of public support for bans of mass communication. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenters: Hjalmar Bang Carlsen and Tobias Gårdhus, SODAS and Department of Sociology, University of Copenhagen. (co-authored work with Jonas Toubøl) Title: Mapping the mobilization in solidarity with Ukriainian refugees in Danish informal civil society Abstract: According to UNHRC approximately 5 million refugees have fled Ukraine between February 24 and April 17 2022. Governments and civil societies all over Europe stand in front of a major task in terms of mobilizing resources to address the refugees welfare needs. This effort is partly dependent upon the mobilization of informal civil society. In this research note we present preliminary findings from an ongoing research project on the online mobilization of informal civic action pertaining to the temporal, geographical and practice dimensions of the informal groups. We, furthermore, outline simple procedures for how to obtain data on online organized volunteering, aiming to enhance other civil society researchers’ access to studying the phenomenon. For those of you not able to make it in person, here is a zoom-link: https://ucph-ku.zoom.us/j/64094257640" "SODAS-Climate: Opening Event";"SODAS Climate";"2022-05-25";"13:30";"2022-05-25";"16:00";"CSS Building 35, room 35.0.12. Gammeltoftsgade 13, 1355 København K.";"";"What social data science for green transition? SODAS-Climate is a new, interdisciplinary research collaboration that uses techniques and methods from social data science to answer questions regarding the green transition. By embedding existing and emerging research, the initiative will act as a platform for exploring novel joint research endeavours - both within the University of Copenhagen and beyond. For this opening event, we have invited existing and future collaborators in academia and consultancy to help us delineate priorities for SODAS-Climate in the coming years. When: Wednesday May 25th from 13.30 – 16.00 Where: CSS Building 35, room 35.0.12. Gammeltoftsgade 13, 1355 København K. Program 13.30 – 13.40 Welcome and introduction to SODAS-Climate by Assoc. Prof. Anders Blok 13.40 – 14.00 Talk by Backscatter v. Jakob Carstensen, Partner & CEO Mapping climate activism on social media to engage physical communities 14.00 – 14.20 Talk by Mrs. Connie Hedegaard Leveraging new types of social knowledge for carbon reduction 14.20 – 14.30 Break 14.30 – 15.30 Keynote by Dr. Lorien Jasny Sources and samples: Two projects using Twitter data to study elite environmental engagement 15.30 – 16.00 Reception How to sign up Participate in person: To participate in person, please write an e-mail to lxs309@sodas.ku.dk. Seats are assigned on a first-come-first-serve basis. Watch remotely: No sign-up needed. Join online via Zoom" "Alex Xi He fra University of Maryland";"CoLab seminar arranged by the Department of Economics";"2022-05-24";"13:15";"2022-05-24";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Eclipse of Rent-Sharing: The Effects of Managers' Business Education on Wages and the Labor Share in the US and Denmark"". CoLab seminar arranged by the Department of Economics";"""Eclipse of Rent-Sharing: The Effects of Managers' Business Education on Wages and the Labor Share in the US and Denmark"" Abstract This paper provides evidence from the US and Denmark that managers with a business degree (“business managers”) reduce their employees' wages. Within five years of the appointment of a business manager, wages decline by 6% and the labor share by 5 percentage points in the US, and by 3% and 3 percentage points in Denmark. Firms appointing business managers are not on differential trends and do not enjoy higher output, investment, or employment growth thereafter. Using manager retirements and deaths and an IV strategy based on the diffusion of the practice of appointing business managers within industry, region and size quartile cells, we provide additional evidence that these are causal effects. We establish that the proximate cause of these (relative) wage effects are changes in rent-sharing practices following the appointment of business managers. Exploiting exogenous export demand shocks, we show that non-business managers share profits with their workers, whereas business managers do not. But consistent with our first set of results, these business managers show no greater ability to increase sales or profits in response to exporting opportunities. Finally, we use the influence of role models on college major choice to instrument for the decision to enroll in a business degree in Denmark and show that our estimates correspond to causal effects of practices and values acquired in business education - rather than the differential selection into business education of individuals unlikely to share rents with workers. Contact person: Kristoffer Balle Hvidberg" "Ana Figueiredo, Erasmus School of Economics";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2022-05-20";"13:15";"2022-05-20";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""The False Illusion of Wage Cyclicality"". ";"""The False Illusion of Wage Cyclicality"" Abstract We provide evidence that sorting dynamics create a false illusion of wage cyclicality. To separate wage flexibility from movements in match quality, we use administrative data from Portugal that allows to accurately distinguish between new hires and incumbent workers that switch occupation versus those that remain in the same occupation. If match quality is tied to a worker’s occupation, we are better able to isolate true wage flexibility by focusing on the latter. We find that the procyclical behaviour of wages is driven by occupation switchers. In contrast, among occupation non-switchers, wages show little cyclical variation for both incumbent workers and new hires. Read more about Ana Figueiredo Contact person: Antoine Bertheau" "Elie Tamer, Harvard University";"Department of Economics";"2022-05-20";"10:30";"2022-05-20";"11:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Inference on Auctions with Weak Assumptions on Information"". Seminar arranged by the Department of Economics";"""Inference on Auctions with Weak Assumptions on Information"" Abstract Given a sample of bids from independent auctions, this paper examines the question of inference on auction objects (like valuation distributions, welfare measures, etc) under weak assumptions on information. We leverage the recent contributions of Bergemann and Morris [2013] in the robust mechanism design literature that exploit the link between Bayesian Correlated Equilibria and Bayesian Nash Equilibria in incomplete information games, to construct an econometrics framework that is computationally feasible and robust to assumptions about information. Checking whether a particular valuation distribution belongs to the identified set is as simple as determining whether a linear program (LP) is feasible. This is the key characteristic of our framework. A similar LP can be used to learn about various welfare measures and policy counterfactuals. For inference and to summarize statistical uncertainty, we propose novel finite sample methods using tail inequalities that are used to construct confidence sets on identified sets. Monte Carlo experiments show adequate finite sample properties. We illustrate our approach by applying our methods to a data set from search Ad auctions and to data from OCS auctions. Contact person: Peter Norman Sørensen" "Jan Eeckhout , Universitat Pompeu Fabra (UPF), Barcelona";"Department of Economics";"2022-05-18";"14:00";"2022-05-18";"15:00";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Are Mangers Paid for Market Power? "". Seminar arranged by the Department of Economics.";"""Are Mangers Paid for Market Power?"" Abstract To answer the question whether managers are paid for market power, we propose a theory of executive compensation in an economy where firms have market power, and the market for managers is competitive. We identify two distinct channels that contribute to manager pay in the model: market power and firm size. Both increase the profitability of the firm, which makes managers more valuable as it increases their marginal product. Using data on executive compensation from Compustat, we quantitatively analyze how market power affects Manager Pay and how it changes over time. We attribute on average 45.8% of Manager Pay to market power, from 38.0% in 1994 to 48.8% in 2019. Over this period, market power accounts for 57.8% of growth. We also find there is a lot of heterogeneity within the distribution of managers. For the top managers, 80.3% of their pay in 2019 is due to market power. Top managers are hired disproportionately by firms with market power, and they get rewarded for it, increasingly so. Joint with Ranjie Bao and Jan de Loecker Read more about Jan Eeckhout Contact person: Morten Graugaard" "Esben Scriver Andersen forsvarer sin ph.d.-afhandling";"";"2022-05-11";"14:00";"";"";"Økonomisk Insitut, Københavns Universitet, Øster Farimagsgade 5, CSS 26.2.21";"Esben Scriver Andersen forsvarer sin ph.d.-afhandling: ""Essays on Structural Microeconometrics. Perturbed utility and equilibrium models"".";"Esben Scriver Andersen forsvarer sin ph.d.-afhandling: ""Essays on Structural Microeconometrics. Perturbed utility and equilibrium models"". Ph.d.-forsvaret foregår i CSS 26.2.21. ZOOM-link: https://ucph-ku.zoom.us/j/2757553329, kode: 1234. En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Mette Ejrnæs , Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Arnaud Dupuy, University of Luxembourg Lektor Ismir Mulalic CBS, DK Abstract This thesis consists of three independent chapters. Each chapter analyzes the equilibrium outcomes of the labor and housing market by describing the behavior of the participants in the markets by the perturbed utility model. This class of models allows for a more general substitution patterns as opposed to the mostly used model class in the literature, the additive random utility model. Substitution patterns is important, as wages and housing prices not only reflect the productivity of labor and the quality of the properties, but also reflect the availability of close substitutes. The first chapter Multidimensional matching and labor market complementarity is written in cooperation with Young Jun Lee. We propose an empirical framework for matching in a frictionless labor market, where workers and firms negotiate over wages and other contractual terms (e.g. whether to work part time or full time). The behavior of workers and firms is described by a class of static perturbed utility models in which alternatives may be complements or substitutes. We show that a unique equilibrium exists and how the equilibrium of the model is obtained. As a proof of concept, we estimate the model based on aggregated data for the Danish labor market and find that workers with different educational levels can be complements in the production, which the additive random utility model rules out. The second chapter A perturbed spatial equilibrium model proposes an empirical spatial equilibrium framework for the housing and labor markets, where households can only move and commute between locations at a cost. Household behavior is described by a static perturbed utility model, which implies that any forward-looking motive is ignored. The proposed static equilibrium model allow spatial substitution patterns of housing prices and wages to be analyzed, and due to the simplicity of the model it is possible to solve it for a large choice set of locations. As a proof of concept, the model is estimated on Danish data, where the households are assumed to choose their residential and work location among 92 municipalities. Based on the estimated model, a counterfactual analysis of an increase of 1 percent in the supply of housing in the capital municipality, Copenhagen, is conducted. As expected this shows analysis that the square meter prices and wages are most affected in Copenhagen and the nearby municipalities. Due to the higher supply of housing and labor the average square meter prices and wages decrease by 10.3 and 0.5 percent in Copenhagen. Moving is associated with large financial and none-financial costs. Hence, the location decision is inherently a dynamic decision, as the households take their future welfare into account when they making a decision. The third chapter A dynamic spatial equilibrium model for the housing and labor market shows that perturbed utility can be used to describe dynamic decision. Based on a dynamic perturbed utility model, the chapter then proposes a spatial equilibrium model similar to the model in chapter 2. As dynamic models are computationally costly to estimate, the proposed model focuses on the capital municipalities that constitutes of 23 municipalities. The counterfactual analysis shows that the average square meter prices and wages in Copenhagen decrease by 10.8 and 0.2 percent, when the supply of housing increases by 1 pct. The similar sizes of the counterfactual changes in the two chapter are partly due to the maintained assumption of static expectations with respect to square meter prices and wages in chapter 3. Initially this leads prices and wages to respond too strongly. Incorporating forward-looking expectations into the model is left for future research." "Johan Sæverud forsvarer sin ph.d.-afhandling";"";"2022-05-10";"09:00";"";"";"Department of Economics, University of Copenhagen, CSS 26.2.21";"Johan Sæverud forsvarer sin ph.d.-afhandling: The Danish Labor Market. Four empirical examinations"".";"Johan Sæverud forsvarer sin ph.d.-afhandling: The Danish Labor Market Four empirical examinations"". Ph.d.-forsvaret foregår i CSS 26.2.21. Link til at deltage on-line: https://ucph-ku.zoom.us/j/61347378204?, kode: 1234 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Torben Heien Nielsen , Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Paul Bingley, VIVE, DK Professor Adeline Delavande, University of Technology Sydney, Australia Abstract This thesis consists of four self-contained research papers, all related to the Danish labor market. All four papers leverage the extensive Danish administrative data, and two of the papers use purpose-designed surveys. The chapters can be read independently and each chapter contains references and appendices. Chapter 1: Communicating Social Security Reform. The first chapter, co-authored with Andrew Caplin, Eungik Lee, and Søren Leth-Petersen, investigates how a Danish social security reform in 2006 has been internalized by the public. The reform changed statutory social security eligibility age from a fixed value, to depend on life expectancy and it varies for different cohorts. Based on survey answers, we elicit subjective distributions of individual beliefs on social security eligibility age, and test whether a simple information treatment changes people's beliefs. We find that younger cohorts are more uncertain and have beliefs that are, on average, further from the statutory eligibility age. We also find that people who get the treatment move closer to the statutory eligibility age in beliefs, but for younger cohorts there is still a significant gap. The age at which people plan to retire is also affected by the treatment. The uncertainty is not affected by the information treatment. Finally, we build a theoretical model that rationalizes the updating of beliefs. Chapter 2: How does Divorce Affect Adult Labor Market Outcomes of Children? In the second chapter, I document how the correlation between a divorce and adverse labor market for the children is probably driven entirely by selection effects, meaning that parents who are more likely to divorce are also more likely to have children who for example earn less as adults. I use a sibling fixed effects approach to control for unobserved family heterogeneity, by comparing the outcomes of siblings within a family. The siblings are treated differentially by the divorce and this variation identifies the causal effect. I find no effect across a range of different labor market outcomes measured at age 32. Chapter 3: Worker Productivity from Tenure and Experience: Measurement from the Firm Perspective. In the third chapter, co-authored with Andrew Caplin, Minjoon Lee, Søren Leth-Petersen, and Matthew D. Shapiro, we directly measure how worker productivity is affected by tenure and experience by using a survey with hypothetical questions to firm managers. We find significant heterogeneity in the amount of tenure needed to reach the full productivity, suggesting that empirical works that aim to estimate returns to tenure and experience should allow for variation in returns across jobs. In the survey we also directly elicit wage returns to tenure and experience (results in line with the literature), and we construct a model that estimates productivity returns to tenure and experience, showing that they differ from the wage returns. Chapter 4: Inequality and Dynamics of Earnings and Disposable Income in Denmark 1987-2016. The fourth chapter, which is co-authored with Søren Leth-Petersen, documents how earnings inequality has changed over time, both in terms of the level of earned income and the growth rates. We show that growth rates for earned income has pro-cyclical skewness and considerable pro-cyclical kurtosis, meaning people face more negative and larger shocks during recessions. On top of the cyclicality, the income shocks are heterogeneous across ages and income levels. These facts are important for modelling income processes, where shocks are often modelled using only the second moment and disregarding heterogeneity. We argue that disposable income is a more relevant measure, as it reflects consumption opportunity, and conduct the same analysis using disposable income. For this measure, skewness and kurtosis are at a low level, they are not varying across the business cycle, and they display very little heterogeneity. Our results show that higher order moments are less important when characterizing the stochastic properties of disposable income growth in contrast to earnings growth. This chapter is part of the Global Repository of Income Dynamics project, read more here: https://mebdi.org/global-repository-income-dynamics." "Francesco Bianchi, Johns Hopkins University and Duke University";"Department of Economics";"2022-05-02";"15:00";"2022-05-02";"16:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Diagnostic Business Cycles"". Distinguished Macroeconomics Seminar arranged by the Department of Economics.";"""Diagnostic Business Cycles"" Abstract A large psychology literature argues that, due to selective memory recall, decisionmakers' forecasts of their future circumstances appear overly influenced by the new information embedded in their current circumstances. We adopt the diagnostic expectations (DE) paradigm (Bordalo et al. (2018)) to capture this feature of belief formation and develop the micro-foundations for applying DE to business cycle models, while demonstrating its empirical relevance for aggregate dynamics. First, we develop behavioral foundations to address the theoretical challenges associated with modeling the feedback between optimal actions and agents' DE beliefs in the presence of (i) endogenous variables and (ii) time-inconsistencies in those optimal actions due to memory recall based on distant past. Second, we build on our theory to propose a portable solution method to study DE in dynamic stochastic general equilibrium models, which we use to estimate a quantitative New Keynesian model augmented with DE. We uncover a critical role played by both endogenous states and distant memory recall under DE in successfully replicating the boom-bust economic cycle observed in the data in response to a monetary policy shock. Joint with Cosmin Ilut and Hikaru Saijo Contact person: Emiliano Santoro" "Christoffer Jessen Weissert forsvarer sin ph.d.-afhandling";"";"2022-04-29";"15:00";"";"";"Økonomisk Insitut, Københavns Universitet, Øster Farimagsgade 5, CSS 26.2.21";"""Essays in Macroeconomics: Inflation Inequality, Consumption Behavior and Impulse Responses"".";"Christoffer Jessen Weissert forsvarer sin ph.d.-afhandling: ""Essays in Macroeconomics: Inflation Inequality, Consumption Behavior and Impulse Responses"". Ph.d.-forsvaret foregår i CSS 26.2.21. En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Tomas Høgholm Jørgensen , Økonomisk Institut, Københavns Universitet, Danmark (formand) Assistant Professor Jessie Handbury, University of Pennsylvania, US Assistant Professor Mikkel Plagborg-Møller, Princeton University, US Abstract The dissertation consists of three self-contained chapters on topics within macroeconomics. All chapters share an orientation towards empirical analysis of macroeconomic questions. New methods for empirical analysis are presented in the first and third chapter. The method presented in the first chapter contributes to analyses of inflation inequality. The method presented in the third chapter contributes to analyses on how the economy responds to shocks. The inflation inequality discussed in the first chapter relates to households' consumption behavior. In the first and second chapter specific empirical analyses on US households' consumption behavior is conducted. Chapter 1 / A Nonhomothetic Price Index and Inflation Heterogeneitywith Phillip Hochmuth & Markus PetterssonIn this chapter, we look at a classic and central topic in macroeconomics: inflation. Specifically, we look at inflation at the household level. We derive a microfounded, nonhomothetic generalization of all known superlative price indices, including the Fisher, the Törnqvist, and the Sato-Vartia indices. The index largely avoids the need for estimation, aggregates consistently across heterogeneous households, and admits different index weights across the expenditure distribution. The latter property rationalizes the methods used in most previous measurements of inflation inequality. In an empirical application to the United States using CEX-CPI data for the period 1995 to 2020, we find: (i) poor and rich households experience on average the same inflation rate; but (ii) inflation for the poorest decile is more than 2.5 times as volatile as that of the richest decile; and (iii) this higher volatility primarily stems from a larger exposure to price changes in food, gas and utilities. In these findings, substitution between goods as prices change plays only a second-order role. Instead, almost all differences come from mechanical changes in the cost of different base-period reference baskets.Chapter 2 / Quality and Consumption Basket Heterogeneitywith Rasmus B. LarsenIn this chapter, we look at another core topic within macroeconomics: consumption behavior. We investigate what households put into their shopping carts and study in detail the differences across the income distribution. We study how the quality of households' consumption baskets varies with income using detailed household-level panel data on purchases. By exploiting the randomized disbursement timing of the Economic Stimulus Payments of 2008, we show that households increased spending when receiving the payment and spent more money on goods of higher quality. While the spending effects are concentrated among low-income households, middle-income households drive the quality effects. These findings support the theory of nonhomothetic demand. To model this, we embed nonhomothetic preferences over quantity and quality in an otherwise standard buffer-stock model. Contrary to the standard model, the nonhomothetic model can be used to match that the marginal propensity to spend is decreasing in income. Moreover, the calibrated model implies that households trade up in the quality of consumption when receiving a transitory income payment. Compared to the standard model, our nonhomothetic model also generates a more unequal wealth distribution, which is closer to the data.Chapter 3 / Local projections or VARs? A data-driven selection rule for finite-sample estimation of impulse responseswith Anders F. KronborgIn this chapter we look at how one in empirical analyses estimates impulse responses. We derive a data-driven rule for when to choose local projection, vector autoregression (VAR) or a mix of these two methods’ estimates of impulse responses in finite samples. We show that local projections and VARs are linked in finite samples: local projections can be derived from a first-step estimate of the VAR impulse responses and a second-step linear correction of the forecast errors of the VAR. The sum of these two estimates yields the local projection estimate and the second-step estimate therefore captures the difference between local projections and VARs. We coin the difference between local projections and VARs the local projections contribution to VARs and since this difference is estimated we can perform inference on it. The selection rule is based on this inference and depends on a simple key statistic for the local projection contribution: the coefficient of variation. When the coefficient of variation is large, the local projection contribution is imprecisely estimated and more weight is put on the VAR estimate. When the coefficient of variation is small more weight is put on the local projection estimate. We show that the selection rule performs well in a host of Monte Carlo studies. " "SODAS lecture with Aniko Hannak";"SODAS";"2022-04-29";"11:00";"2022-04-29";"12:30";"SODAS conference room 1.02.26";"New Faces of Bias in Online Platforms ";"Title: New Faces of Bias in Online Platforms Abstract: The internet is fundamentally changing how we socialize, work, or gather information. The recent emergence of content serving services creates a new online ecosystem in which companies constantly compete for users' attention and use sophisticated user tracking and personalization methods to maximize their profit. My research investigates the potential downsides of the algorithms commonly used by online platforms. Since these algorithms learn from human data, they are bound to recreate biases that are present in the real world. In this talk, I will first present a measurement methodology developed to monitor personalization algorithms in the context of platforms such as Google Search or online stores. Second, I will talk about recommendation and rating systems in the context of employment related platforms such as job search sites, freelancing marketplaces and online professional communities, and their danger to reinforce gender inequalities. Bio: Aniko is an assistant professor at the University of Zurich, leading the Social Computing Group. She received her PhD from the College of Computer & Information Science at Northeastern University, where she was part of the Lazer Lab and the Algorithmic Auditing Group. Aniko’s main interest lies in computational social science, more specifically she is focusing on the co-evolution of online systems and their users. Broadly, her work investigates a variety of content serving websites such as search engines, online stores, job search sites, or freelance marketplaces and uncovers potential negative consequences of the big data algorithms that these websites deploy. This spring, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted Human Being human in 2022 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors. Venue: CSS, Sodas conference room 1.2.26" "Kursus i klimaøkonomi";"";"2022-04-26";"08:30";"2022-04-26";"16:00";"Det Samfundsvidenskabelige Fakultet, Øster Farimagsgade ";"Hvad betyder valg af diskonteringsrente for klimapolitiske prioriteringer på kort og lang sigt? Hvad er de bedste instrumenter og virkemidler for at reducere udledningen af ​​drivhusgasser?";"Hvad betyder valg af diskonteringsrente for klimapolitiske prioriteringer på kort og lang sigt? Hvad er de bedste instrumenter og virkemidler for at reducere udledningen af ​​drivhusgasser? Det du kunne svare på, når du har deltaget i vores kursus Klimapolitik: Valg af diskonteringsrente, instrumenter og virkemidler. Kurset henvender sig til medarbejdere, der arbejder med klimapolitik og økonomi i ministerier, sektorministerierne, interesseorganisationer mv. Kurset giver dig indsigt i spørgsmål som dem her:- Hvad er begrænsningerne i de danske retningslinjer på diskontering?- Hvordan kan klimaprojekter behandles anderledes end standardprojekter i cost-benefit-analyser?- Hvad er de rigtige valg af instrumenter i en lille åben økonomi som Danmark?- Hvordan kan store projekter som CCS bedst reguleres?- Hvad er succeshistorierne om nudging som klimapolitisk virkemiddel andre steder?- Hvordan kan nudging implementeres på en god måde i Danmark? Tilmeld dig kurset på vores kursus-side. Baggrund Dansk klimapolitik tager udgangspunkt i at forfølge de samfundsøkonomisk mest effektive tiltag. Baseret på beregninger identificerer man de bedste instrumenter til at opnå dette. Et nøgleelement i beregningerne er diskonteringsrenten, der hjælper med at oversætte fremtidens gevinster til nutidig samfundsværdi. Klimaproblematikken adskiller sig fra mange andre samfundsmæssige udfordringer ved at strække sig over en meget lang tidshorisont. Derfor er det vigtigt, at diskonteringsrenten anvendes rigtigt, så samfundet kan prioritere de mest effektive klimainstrumenter og virkemidler set i lyset af den lange tidshorisont. På dette kursus underviser forskere fra Økonomi på KU i, hvordan diskonteringsrenten kan bruges til at forme klimapolitikken, og hvilke instrumenter og virkemidler man kan bruge til at implementere klimapolitikken – f.eks. valg af instrumenter i en lille åben økonomi, dilemmaer forbundet med regulering kontra marked og nudging som et alternativ til mere traditionelle virkemidler. Det tekniske niveau er sammenligneligt med kandidatkurser på Økonomistudiet. Program 08.30-09.00: Kaffe, the og croissanter 09.00-11.00: Diskonteringsrente og den grønne omstilling: begrænsninger og muligheder i de danske retningslinjerv. Frikk Nesje 11.15-13.45 (inkl. frokost): Klimapolitiske instrumenter: dilemmaer ved regulering af drivhusgasemissioner i Danmarkv. Peter Kjær Kruse-Andersen og Peter Birch Sørensen 14.00-16.00: Nudging som et klimapolitisk virkemiddel: nye måder at nedbringe emissionerv. Christina Gravert Om underviserne Frikk Nesje er adjunkt på Økonomisk Institut, KU, hvor han forsker og underviser studerende i diskonteringsrenten i de klimaøkonomiske modeller. Frikk har en ph.d. fra Universitetet i Oslo, hvor hans afhandling i 2021 udløste den norske konges guldmedalje og European Association of Environmental and Resource Economists' pris for bedste afhandling i 2020. Sammen med internationale kolleger har Frikk rådgivet økonomer i præsident Bidens administration om netop valget af diskonteringsrente. Christina Gravert er lektor på Økonomisk Institut og CEBI, KU, hvor hun forsker og underviser studerende i adfærdsøkonomi. Specifikt studerer Christina, hvordan folk træffer beslutninger, og hvordan de kan motiveres eller nudges til at ""gøre det rigtige."" Christina arbejder med emner som miljømæssig bæredygtighed, sundhed og velgørende gaver, og blev i 2019 udvalgt som en af Berlingskes Talent 100. Hun har en ph.d. fra Aarhus Universitet and har tidligere været postdoc ved Göteborgs Universitet. Peter Kjær Kruse-Andersen er adjunkt på Økonomisk Institut, KU, hvor han forsker og underviser studerende i miljø- og klimaøkonomi. Derudover arbejder Peter med at udvikle GrønReform, som er en ny samfundsøkonomisk model til at udarbejde økonomiske analyser om den grønne omstilling. Han har tidligere arbejdet i De Økonomiske Råds sekretariat, hvor han bl.a. arbejdede med EU’s kvotehandelssystem og CO2e-lækage. Peter har desuden skrevet en ph.d. om miljøpolitikkens effekter på den teknologiske udvikling. Peter Birch Sørensen er professor på Økonomisk Institut, KU, hvor han bl.a. forsker i miljø-, ressource- og klimaøkonomi, herunder optimal klimapolitik. Derudover arbejder Peter med at udvikle GrønReform, som er en ny samfundsøkonomisk model til at udarbejde økonomiske analyser om den grønne omstilling. Han er udpeget til at deltage i regeringens ekspertgruppe, der skal undersøge, hvordan der kan etableres en general CO2e-afgift i Danmark. Derudover har Peter tidligere været formand for både Klimarådet og De Økonomiske Råd." "Mike Elsby, University of Edinburgh";"KU - CBS Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2022-04-22";"13:15";"2022-04-22";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Vacancy chains"". KU - CBS Macroeconomics Seminar, organized within the CopenhagenMacro Network.";"""Vacancy chains"" Abstract Replacement hiring—recruitment that seeks to replace positions vacated by workers who quit—plays a central role in establishment dynamics. We document this phenomenon using rich microdata on U.S. establishments, which frequently report no net change in their employment, often for years at a time, despite facing substantial gross turnover in the form of quits. We devise a tractable model in which replacement hiring is driven by a novel structure of frictions, combining firm dynamics, on-the-job search, and investments into job creation that are sunk at the point of replacement. A key implication is the emergence of vacancy chains. Quantitatively, the model reconciles the incidence of replacement hiring with the large dispersion of labor productivity across establishments, and largely replicates the empirical volatility and persistence of job creation and, thereby, unemployment. Contact person: Antoine Bertheau " "SODAS Data Discussion 22 April 2022";"SODAS";"2022-04-22";"11:00";"2022-04-22";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Data Discussion with Cathrine Valentin Kjær and Elena Fernandez Fernandez";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Presenter: Cathrine Valentin Kjær, Research Assistant at SODAS, working on the HOPE project. Title: Content Removal by Social Media Platforms Abstract: What content is removed from social media platforms and what drives these decisions? Historically, large-scale censorship of public debate has been a state monopoly . With the advent of Web 2.0, that has changed; as the public sphere is increasingly moving to global private social media platforms, so has the ability to censor the public debate. In such a content removal system governed by private social media companies, it is increasingly important to map potential biases and discuss their democratic implications, as private companies are not obliged by democratic ideals. Despite this, most studies focus on analyzing the content which remains on the platforms rather than what is deleted. We address this shortcoming, presenting the first successful attempt at identifying and analyzing content removed by Twitter. Exploiting the fact that Twitter replaces every deleted tweet with a label explaining why the tweet is missing, we set up a novel method for data collection. Using this method we continuously monitor and scrape the labels of around 16 million live-collected English Tweets. With this unique data set, we are then able to characterize what makes tweets most likely to be deleted. Our study contributes to existing research on online censorship and the nature of Twitter as a social science datasource. More broadly, we highlight a major democratic challenge of digital democracy, namely that on Twitter, certain political topics and people seem to be systematically excluded from online public debate. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Presenter: Elena Fernandez Fernandez, Marie Curie Post-Doctoral Researcher, University of Zurich, Department of Computational Linguistics. Title: “Time, Technology and Globalization. A study of the role of technology in processes of modernization and globalization using the Press, Big Data, and Computational Research Methodologies.” Abstract: The EU-funded GLOTECH project comprises a study of the role of technology in processes of modernisation and globalisation using the press, big data and computational research methods. It will explore the role of technology as a factor of time standardisations in Western industrialised societies as well as a booster of cultural homogenisation, and as a consequence, an agent of modernisation and globalisation. The analysis will focus on the press in European countries, the United Kingdom, and the United States. The methodology will include different computational research methods, contributing to significant advances in digital humanities and computational social sciences. " "Julien Xavier Daubanes, Université de Genève";"FRU (Finance Research Unit)";"2022-04-20";"13:30";"2022-04-20";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Why do firms issue green bonds?"". Seminar arranged by FRU (Finance Research Unit)";"""Why do firms issue green bonds?"" Abstract We hold that green finance certifcation allows managers to signal firms' effciency at addressing the energy transition. In our model of green bond issuance, signaling amplifies incentives to decarbonize. The model predicts that firms' managers are more inclined to issue green bonds when they are more interested in stock prices. We test this prediction by exploiting cross-industry differences in the stock-price sensitivity of managers' compensation and cross-country variations in effective carbon prices. The effect of managers' incentives on green bond issuance increases with carbon penalties. These results suggest that green bonds are complements to, rather than substitutes for, carbon pricing. (Joint with Shema Frédéric Mitali and Jean-Charles Rochet Contact person: Stefan Voigt" "Sarah Zubairy, Texas A&M University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2022-04-08";"14:15";"2022-04-08";"15:15";"Virtuel zoom seminar";"""State dependent government spending multipliers: Downward nominal wage rigidity and sources of business cycle fluctuations"". ";"""State dependent government spending multipliers: Downward nominal wage rigidity and sources of business cycle fluctuations"" Abstract We consider a New Keynesian model with downward nominal wage rigidity (DNWR) and show that government spending is much more effective in stimulating output in a low-inflation recession relative to a high-inflation recession. The government spending multiplier is large when DNWR binds, but the nature of recession matters due to the opposing response of inflation. In a demand-driven recession, inflation falls, preventing real wages from falling, leading to unemployment, while inflation rises in a supply-driven recession limiting the consequences of DNWR on employment. We document supporting empirical evidence, using both historical time series data and cross-sectional data from U.S. states. Contact person: Søren Hove Ravn" "SODAS Lecture: Automatically explaining fact checking predictions";"SODAS";"2022-04-08";"11:00";"2022-04-08";"12:30";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"SODAS Lecture with Isabelle Augenstein, Associate Professor, Department of Computer Science, University of Copenhagen";"We are delighted to host Isabelle Augenstein for this SODAS Lecture. Title: Automatically explaining fact checking predictions Abstract: The past decade has seen a substantial rise in the amount of mis- and disinformation online, from targeted disinformation campaigns to influence politics, to the unintentional spreading of misinformation about public health. This development has spurred research in the area of automatic fact checking, from approaches to detect check-worthy claims and determining the stance of tweets towards claims, to methods to determine the veracity of claims given evidence documents. These automatic methods are often content-based, using natural language processing methods, which in turn utilise deep neural networks to learn higher-order features from text in order to make predictions. As deep neural networks are black-box models, their inner workings cannot be easily explained. At the same time, it is desirable to explain how they arrive at certain decisions, especially if they are to be used for decision making. While this has been known for some time, the issues this raises have been exacerbated by models increasing in size, and by EU legislation requiring models to be used for decision making to provide explanations, and, very recently, by legislation requiring online platforms operating in the EU to provide transparent reporting on their services. Despite this, current solutions for explainability are still largely lacking in the area of fact checking. This talk provides a brief introduction to the area of automatic fact checking, including claim check-worthiness detection, stance detection and veracity prediction. It then presents some first solutions to generating and automatically evaluating explanations for fact checking. Bio: Isabelle Augenstein is an Associate Professor at the University of Copenhagen, Department of Computer Science, where she heads the Copenhagen Natural Language Understanding research group as well as the Natural Language Processing section. Her main research interests are fact checking, low-resource learning, and explainability. Prior to starting a faculty position, she was a postdoctoral researcher at University College London, and before that a PhD student at the University of Sheffield. She currently holds a DFF Sapere Aude Research Leader fellowship on 'Learning to Explain Attitudes on Social Media’, and is a member of the Young Royal Danish Academy of Sciences and Letters. This spring, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted Human Being human in 2022 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors. Venue: CSS, Sodas conference room 1.2.26or via Zoom: https://ucph-ku.zoom.us/j/61119140063" "Thomas Rutherford, University of Wisconsin";"Environmental Economics seminar arranged by the Department of Economics";"2022-04-06";"11:00";"2022-04-06";"12:00";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""DICE revisited: Getting the Social Cost of Carbon Right(er)"".";"""DICE revisited: Getting the Social Cost of Carbon Right(er)"" Abstract The social cost of carbon (SCC) quantifies the economic cost to society of each ton of carbon dioxide or other greenhouse gases emitted into the atmosphere. It has become the key metric for the cost-benefit analysis of climate policies to derive socially optimal greenhouse gas emission pathways and long-term atmospheric temperature targets. Calculations of SCC requires the use of integrated assessment models that capture the full impacts of anthropogenic emissions through the carbon cycle, including economic damages from climate change. Uncertainties in natural science, technological development, or different normative judgements in economic valuations explain a wider range of SCC estimates. In this paper, we focus on three SCC determinants: (i) the carbon cycle, (ii) capital malleability, and (iii) the availability of negative emissions technologies. We perform structural sensitivity analysis using the well-established integrated assessment model DICE. Our analysis indicates that alternative settings for the carbon cycle are of minor importance whereas differences in capital malleability and the cost-potential for negative emissions technologies can have substantial implications for SCC values. Contact person: Peter Birch Sørensen" "Rasmus Kehlet Berg forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universiet, bygning 26, CSS 26.2.21";"2022-04-05";"14:00";"";"";"";"";"Rasmus Kehlet Berg forsvarer sin ph.d.-afhandling: ""Technology and the Environment in General Equilibrium"" Ph.d.-forsvaret foregår i CSS 26.2.21 kl. 14:00. En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Bertel Schjerning, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Thomas Rutherford, University of Wisconsin-Madison, US Professor Lena Kiting, DTU, DK Abstract The dissertation consists of three self-contained parts that deal with representing technology in environmental economic models. All parts offer ways for improving economic models by leveraging knowledge on technologies collected by other academic disciplines. The first two parts explore new ways for economic models to capture the potential for renewable energy technologies. One of the main challenges of reaching net-zero greenhouse gas emissions is that most cheap, renewable energy generation is intermittent; the availability of wind or solar power depends on natural conditions, such as wind speed and cloud cover. We develop a technology-rich model for electricity and district heat systems and show that it captures the key effects of intermittency. We show that the model can be solved efficiently alongside conventional economic models using smoothing techniques. This integrated framework can be used to evaluate policies e.g. aimed at lowering emissions through electrification of polluting economic activity, such as transportation, using intermittent renewable energy. The second part of the dissertation uses the technology-rich model from part one to investigate the value and potential of electricity storage. We show that in the Danish context, investing in electricity storage reduces greenhouse gas emissions and lowers average prices significantly. However, the investment costs of lithium-ion batteries prohibit them from being cost-effective until after 2030. We show that this is largely a result of neighboring countries’ strategy of investing in storage technologies and intermittent renewables, thus emphasizing the importance of a technology-rich model that includes details on the transmission grid.Finally, while parts one and two focus on the scope for emission reductions through renewable energy, part three focuses on modeling reductions through abatement technologies. We provide a novel framework that allows us to use much more detailed data on abatement technologies than state of the art environmental economic models. We show under what conditions current best practices over- and underestimates abatement costs when technology data is not appropriately represented in the economic model." "Edouard Challe, European University Institute, Florence";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2022-04-01";"13:15";"2022-04-01";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Inequality and optimal exchange-rate stabilization"". Seminar, organized within the CopenhagenMacro Network.";"""Inequality and optimal exchange-rate stabilization"" Abstract We study optimal exchange rate stabilization in a tractable Small Open HANK Economy with endogenous consumption risk and rich cross-sectional inequalities. Besides the closed-economy channels, aggregate demand management operates through the real exchange rate, which affects both GDP (through expenditure switching) and national income (through the relative price of foreign goods) and ultimately feeds back to domestic cross-sectional heterogeneity. We show that this channel requires stabilizing the exchange rate more in HANK than in RANK after a domestic productivity shock; this is because stabilizing the exchange rate mitigates expenditure switching and the implied fluctuations in consumption risk and inequalities. In contrast, the optimal response to capital-flow shocks in HANK resembles that in RANK. Read more about Edouard Challe Contact person: Emiliano Santoro" "DISTRACT seminar with Steen Erik Navrbjerg";"DISTRACT - SODAS";"2022-03-25";"11:00";"2022-03-25";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26";"Title: Virtual Management during the Corona Crisis – results and methodological considerations";"Title: Virtual Management during the Corona Crisis – results and methodological considerations Abstract: The project “Virtual Management during the Corona Crisis” followed a number of managers and employees during the 1st and 2nd lockdowns in 2020. The project sheds light on management and collaboration during the corona crisis - and what we have learned. In hindsight, the corona crisis gave us the potential to change our working lives significantly. As such, the crisis posed many challenges but has also opened doors. These doors would not have opened if the crisis had not taught us new ways of management and collaboration at work place level. Many managers have had to adjust their management style according to the new virtual reality, and for some, it has been a steep learning curve. Question is to what management has been willing to learn from the crisis - and what to take with us in the future. While a major concern for managers during the first lock-downs was if productivity could be maintained while employees worked from at home, the focus had changed significantly in the second lockdown where work place coherence was on management agenda – i.e., what kind of work place do we have when we don’t meet physically. The project took place in the midst of the 1st and 2nd lockdowns of the Corona crisis. The research object was a ‘moving target’ as the 1st lock-down was replaced by opening of society, only to be followed by an 2nd lockdown. At the same time, interviewees where still in the process of defining their roles in a ‘now normal’. The particular challenges of conducting ‘corona research’ will be discussed, as well as potential new learnings. The empirical base is two rounds of interviews, 36 during the 1st Lockdown and 28 during the 2nd, supplemented with a questionnaire with 594 HR-managers. Associate Professor Steen E. Navrbjerg from FAOS, Employment Relations Research Centre, University of Copenhagen, and Professor Dana Minbaeva from Department of Strategy and Innovation, Copenhagen Business School carried out the project. Innovation Fund Denmark funded the project. More detailed information: https://faos.ku.dk/nyheder/virtuel-ledelse-under-corona-krisen/ Steen E. Navrbjerg is an Associate Professor at FOAS, Employment Relations Research Centre, University of Copenhagen" "EduQuant virtual seminar: Laëtitia Renée ";"EduQuant, University of Copenhagen";"2022-03-21";"15:00";"2022-03-21";"16:00";"Zoom: https://ucph-ku.zoom.us/j/66035106549?pwd=M0V3RWVsL3BrUXAxRGhNYWFXNjZnQT09 Passcode: 136200";"";"Laëtitia Renée: The Long-Term Effects of Financial Aid and Career Education: Evidence from a Randomized Experiment Despite large investments in interventions aiming to increase college attendance, little is known about their long-term effects. In this paper, I study the effects of the Future to Discover Project, a randomized experiment that offered 4,400 Canadian high school students either the chance to participate in several career planning workshops in high school or the chance to receive an $8,000 grant upon college enrollment. I match the experimental data to post-secondary institution records and income tax files to examine the effects of the interventions on college enrollment, graduation, and earnings, from the end of high school till the age of 28. I show that the career education intervention, by affecting students’ decisions to enroll in four-year colleges, greatly improved their outcomes in the long run. In contrast, I do not find any evidence that providing students with additional financial support had any long-term monetary benefits, which is consistent with the fact that a number of grants and loans are already available in Canada. My findings also shed light on the mechanisms explaining the gap in educational attainment by parental income. I show that informational and behavioral barriers, rather than financial constraints, together with differences in academic achievement, account for most of the gap in four-year college graduation between high- and low-income students. Read the full article More information about the research unit EduQuant Login details: Zoom link: https://ucph-ku.zoom.us/j/66035106549?pwd=M0V3RWVsL3BrUXAxRGhNYWFXNjZnQT09 Passcode: 136200 " "SODAS Data Discussion 18 March 2022";"SODAS";"2022-03-18";"11:00";"2022-03-18";"12:00";"CSS, Øster Farimagsgade 5a, SODAS conference room 1.2.26 or via Zoom";"Data Discussion with Ole Teutloff and Simon Polichinel von der Maase University of Copenhagen";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Author:Ole Teutloff, PhD, SODAS, University of Copenhagen Title:Show me how you look and I tell you what you are worth: Visual measures of human capital Abstract:In this research project (idea), we plan to use profile pictures of online freelancers to construct visual measures of human capital. We plan to structure our research as follows. Firstly, we use Convolutional Neural Networks (CNN) to predict hourly wages from profile pictures without any further assumptions. Thereby, we examine to what extent our model can learn how appearance matters for hourly wages without any directive by the researchers of what to focus on. Secondly, we extract various features from the pictures (e.g. gender, ethnicity, age, attractiveness etc.), combine them with non-visual background features (such as education and work experience) and use them to predict the hourly wages of freelancers. To extract the visual features, we train our CNN on publicly available image datasets and evaluate the performance using a professional service such as Face++. Lastly, we combine extracted features, background variables and the profile pictures into one prediction model, and evaluate the gains of using the full image. To further investigate the importance of the extracted features (e.g. gender, ethnicity, attractiveness, education, experience), we also pursue a regression strategy with embeddings created by the CNN. This allows us to evaluate how much the image adds to the prediction on top of the features that we have previously identified and extracted. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Author:Simon Polichinel von der Maase, PhD, Department of Political Science, University of Copenhagen Title: ConflictNet 1.0 - A probabilistic recurrent Unet for global conflict forecasting. Abstract: I here presented a Recurrent (approximate Bayesian) Unet for global conflict forecasting. The network is able to capture the spatial and temporal patterns inherent in violent conflicts and use these patterns to generate forecastings of future conflict patterns. The network works well for both regression and classification task (i.e. estimating the probability of conflict and the magnitude of conflict). It is also able to effectively generate a posterior distribution thus quantifying the model uncertainty. Venue: CSS, Sodas conference room 1.2.26or via Zoom: https://ucph-ku.zoom.us/j/64036059160" "Nina Roussille, MIT/LSE ";"CoLab seminar arranged by the Department of Economics";"2022-03-15";"13:15";"2022-03-15";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Worker Beliefs About Outside Options"". CoLab seminar arranged by the Department of Economics";"""Worker Beliefs About Outside Options"" Abstract Workers wrongly anchor their beliefs about outside options on their current wage. In particular, low-paid workers underestimate wages elsewhere. We document this anchoring bias by eliciting workers’ beliefs in a representative survey in Germany and comparing them to measures of actual outside options in linked administrative labor market data. In an equilibrium model, such anchoring can give rise to monopsony and labor market segmentation. In line with the model, misperceptions are particularly pronounced among workers in low-wage firms. If workers had correct beliefs, at least 10% of jobs, concentrated in low-wage firms, would not be viable at current wages. Joint with S. Jager, C. Roth and B Schoefer Contact person: Nikolaj Arpe Harmon" "SODAS Lecture: Predictive coding, neo-Kantianism and the Lifeworld";"SODAS";"2022-03-04";"11:00";"2022-03-04";"12:30";"CSS, room1.1.02 or via Zoom";"Lecture by Dan Zahavi. Professor of Philosophy and director of the Center for Subjectivity Research, University of Copenhagen. ";"We are delighted to host Professor Dan Zahavi for the first SODAS Lecture this spring. Abstract Recently, a number of neuroscientists and philosophers have taken the so-called prediction error minimization theory to support a form of radical neuro-representationalism, according to which the content of our conscious experiences is a neural construct, a brain-generated simulation. There is remarkable similarity between this account and ideas found in and developed by German neo-Kantians in the mid-19th century. Eventually, however, some neo-Kantians as well as central figures in phenomenology came to have serious doubts about the cogency and internal consistency of the model. In my talk, I will argue that this criticism has implications for our assessment of the contemporary theory as well. Bio Dan Zahavi is Professor of Philosophy and director of the Center for Subjectivity Research at the University of Copenhagen. Zahavi’s primary research area is phenomenology and philosophy of mind, and their intersection with empirical disciplines such as psychiatry and psychology. In addition to a number of scholarly works on the phenomenology of Husserl, Zahavi has mainly written on the nature of selfhood, self-consciousness, intersubjectivity, empathy, and most recently on topics in social ontology. His most important publications include Self-awareness and Alterity (1999/2020), Husserl’s Phenomenology (2003), Subjectivity and Selfhood (2005), The Phenomenological Mind (together with Shaun Gallagher) (2008/2012/2021), Self and Other (2014), Husserl’s Legacy (2017), and Phenomenology: The Basics (2019). Since 2020, Zahavi has been PI on a 5-year research project entitled Who are We? which is supported by the European Research Council and the Carlsberg Foundation. Zahavi’s writings have been translated into more than 30 languages. This spring, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted Human Being human in 2022 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors. Venue: CSS, room 1.1.02or via Zoom: https://ucph-ku.zoom.us/j/62932255935" "DISTRACT seminar with Søren Kyllingsbæk";"DISTRACT - SODAS";"2022-02-25";"11:30";"2022-02-25";"12:30";"CSS, SODAS conference room 1.2.26";"Attention and Intentions";"Title:Attention and Intentions Abstract: ”Everyone knows what attention is. It is the taking possession by the mind, in clear and vivid form, of one out of what seem several simultaneously possible objects or trains of thought.” These are the famous words written by the “Father” of American psychology, Williams James in 1890. Classically, the concept of attention covered both focusing of the mind on object in the external world as well as thoughts in the internal world. However, in modern psychological science the two concepts have drifted apart in two separate research fields trying to explain attention and intentions, respectively. I will present a well-established neural theory of visual attention as well as a novel theory of intention selection. Both theories are formal and can be formulated as computational models explaining behavior in terms of psychological meaningful mechanisms and concepts. Moreover, the models build on a simple and similar conception of a stochastic race between objects or intentions that may enable a unification of the two theories in a general theory of cognitive selection. Søren Kyllingsbæk holds a position as Professor in Cognitive Psychology, Department of Psychology and Department of Computerscience, University of Copenhagen." "The Danish Industry Foundation's Knowledge Sharing Seminar (in Danish)";"Morten Bennedsen (mobe@econ.ku.dk)";"2022-02-21";"14:00";"2022-02-21";"17:00";"Online via Zoom";"Grant recipients under the Danish Industry Foundation's genstartNU-program share their recently acquired knowledge.";"Bevillingsmodtagere under Industriens Fonds genstartNU-programmet deler viden erhvervet under de respektive projekter. Da Coronakrisen ramte Danmark igangsatte Industriens Fond genstartNU-programmet, som havde til formål at støtte danske SMV'er igennem krisen. Som et led i programmet modtog en række forskningsinstitutioner bevillinger til støtte af forskningsprojekter, der havde til formål at analysere SMV’ers strategier og forretningsudvikling i krisetid. På dette vidensdelingsseminar deler forskere fra forskellige danske universiteter den viden de har erhvervet i de respektive projekter. Seminaret foregår online via en Zoom-forbindelse. Er du interesseret i at deltage, kontakt venligst Morten Bennedsen (mobe@econ.ku.dk) eller FAMBUSS administratoren Michelle Peled (michelle.peled@econ.ku.dk). Program Real life dataindsamling om virksomheders krisestrategier Videndeling om datakilder og forskning omkring virksomheders adfærd under Coronakrisen 14:00 – 14:05 Velkomst & intro v/Charlotte Kjeldsen Krarup, Industriens Fond 14:05 – 14:33 Forretningsmodeller: Fra krise til vækst v/Christian Nielsen, Aalborg Universitet 14:33 – 15:01 Forretningsmodeller og erhvervsfremme efter Covid19 –erfaringsopsamling fra genstartNU v/Jens Nyholm, Iris Group ApS 15:01 – 15:29 Kriseparathed & Kriseinnovation i Store Kriser v/Kim Klyver og Suna Løwe Nielsen, Syddansk Universitet 15:29 – 15:57 Reboot SME: Hvad gjorde danske erhvervsledere i SMVerunder Covid-nedlukningen? v/Lars Frederiksen, Aarhus universitet 15:57 – 16:25 Gentænk Nu – virtuel forretningsudvikling i SMV’er v/Mette Neville og Tina Fugl, Aarhus Universitet 16:25 – 16:53 Krisehåndtering i Danske Virksomheder v/Morten Bennedsen, Københavns Universitet 16:53 – 17:00 Afrunding & tak for i dag v/Charlotte Kjeldsen Krarup, Industriens Fond " "SODAS Data Discussion 11 Feb 2022";"SODAS";"2022-02-11";"11:00";"2022-02-11";"12:00";"CSS, SODAS conference room 1.2.26 or via Zoom";"Presentations by Clara Johan Vandeweerdt, University of Copenhagen & Marilena Hohmann, IT University of Copenhagen";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Author:Clara Johan Vandeweerdt, post-doctoral fellow at the University of Copenhagen, Department of Political Science. Title:Using Twitter bios to map Americans' identities over time Abstract:What social identities do Americans have, and how are those identities changing over time? The most common method for answering this question has been closed-ended survey questions about ethnicity, gender, partisanship and so on. The downside of this approach is that it is difficult to capture rare identities, or identity categories that the researcher had not anticipated. A second approach has been to use open-ended survey questions. These, however, turn out to be rather difficult for respondents to understand, and answers are likely to be heavily influenced by context (e.g. previous survey questions, example identities used to clarify the question, assumed purpose of the research). Recently, a third method has emerged: extracting identities from the self-descriptions (""bios"") that users enter on social media. These bios have the advantage of being spontaneously written self-presentations, which people are able to adapt over time. So far, a few studies have tracked the appearance and disappearance of specific identity terms in user bios on Twitter. In this paper, we take a far more comprehensive approach: we use word embeddings and clustering to group all of the words used in Twitter bios into categories such as ""family"" or ""religious"". This allows us to monitor over-time change in the self-presentation of about 3.2 million geo-located American users since mid-2020, across dozens of identity categories that arise from the data itself. The method has exciting application possibilities, including pinpointing uncommon combinations of identities (e.g. ""Democrat"" and ""religious""), linking changes in identities to real-world events (such as elections, scandals or protests) and showing how identities spread through networks. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Author:Marilena Hohmann, the IT University of Copenhagen. Title: Estimating Polarization on a Social Network Abstract:Measuring polarity on social networks is important, but all current methods to do so either look only at the distribution of values ignoring the network structure, or are unable to meaningfully reduce the complexity of the input structure. Classically, users' opinions are represented on a spectrum from -1 to +1. We propose to create a polarization score, which estimates the average distance a random walker on the network will have to cover to travel from one opinion to the other. Differently from other methods, this approach takes into account both the dispersion of the opinion scores and how they are distributed on a network. We validate our score via toy examples, synthetic networks with increasing complexity, and real world data extracted from Twitter on real issues like gun control, Obamacare, and abortion in the US. We show how our polarization score is able to correctly distinguish between different scenarios that would not be able to be identified with the current alternative approaches. Venue: CSS, Øster Farimagsgade 5, SODAS conference room 1.2.26.Or you can also join via Zoom: https://ucph-ku.zoom.us/j/64418196849" "Datasprint: The political debate in Europe illuminated through text and data mining";"Copenhagen University Library Datalab (KUB Datalab) & The Master programme in social data science (SDS)";"2022-02-10";"14:00";"2022-02-11";"15:00";"CSS 35.0.12";"Come and participate in our datasprint, where we will go from data to results in less than two days while having a good time.";"Come and participate in our datasprint, where we will go from data to results in less than two days while having a good time. NB: Participants in this data sprint are expected to have at least a fundamental knowledge of Python programming and data structuring in Python. We invite students to take part in the exploration of the dataset “‘Multilingual comparable corpora of parliamentary debates ParlaMint 2.1’”. (Erjavec, Tomaž; et al., 2021, Multilingual comparable corpora of parliamentary debates ParlaMint 2.1, Slovenian language resource repository CLARIN.SI, https://hdl.handle.net/11356/1432) The ‘Multilingual comparable corpora of parliamentary debates ParlaMint 2.1’ is a unique opportunity to look inside the different national Parliament of Europe. Participants will be divided into groups. In the groups, you must decide for a relevant question that you can examine and answer with data. You have about 10 hours to answer the question and to prepare a presentation of 5-7 min, which must contain 3 - 5 graphs / visualizations. A relevant question could for example deal with the distribution of age, gender, political parties or it could be an analysis of the speeches. The dataset is highly structured. Row after row of speeches representing the political attitudes and agendas of parties and politicians from 2015 to 2020. Beside speeches, you will find metadata about the politicians, for example, speakers name, gender, party affiliation, data of birth etc. The Datasprint will take place Thursday 10 February from 2 pm. to 7 pm. and Friday 11 February from 9 am. to 3 pm. The datasprint is organized jointly by Copenhagen University Library Datalab (KUB Datalab) and The Master programme in social data science (SDS). Register here. Deadline 6. February 2022." "Anna Kollerup Iversen forsvarer sin ph.d.-afhandling";"";"2022-01-31";"10:00";"";"";"Department of Economics, University of Copenhagen (ZOOM)";"Essays on Health Care: New insights into the economic burden of population ageing and the implementation of health policies aimed at promoting evidence-based clinical practice and consistency in the delivery of hospital care.";"Anna Kollerup Iversen forsvarer sin ph.d.-afhandling: ""Essays on Health Care: New insights into the economic burden of population ageing and the implementation of health policies aimed at promoting evidence-based clinical practice and consistency in the delivery of hospital care"". Ph.d.-forsvaret foregår online over Zoom: https://ucph-ku.zoom.us/j/9536476672, passcode: 1234. En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Mette Gørtz, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Mauro Laudicella, SDU, Denmark Senior Research fellow, Daniel Avdic, Monash Business School, Australia Abstract This thesis consists of three self-contained chapters. Each chapter casts light on different aspects of the challenges that national health authorities face in providing universal health care coverage under resource constraints and under the continual introduction of new knowledge and new expensive medical advances. The first chapter is coauthored with Rikke Ibsen and Jakob Kjellberg. The demographic change towards a larger proportion of older individuals challenges universal health care systems in sustaining high-quality care and universal coverage without budget expansions. To build valuable predictions of the economic burden from population ageing, it is crucial to understand the determinants of individual-level health care expenditures. We examine static and dynamic health expenditure patterns across a 12-year period to shed light on future health care needs and threats to the sustainability of universal health care coverage. By applying individual-level administrative data from the entire Danish population, our study is the first to use a single data set to examine whether age, time to death and a steepening of the individual-level health care expenditure curve all contributed to individual-level health care expenditures over a 12-year observation period (2006–2018). We find that individual-level expenditures are associated with an individual’s age, an individual’s time to death and a steepening of the expenditure curve, with the steepening driven by individuals above age 75. We observe heterogeneity in the extent and age-distribution of the steepening across disease groups. The threefold combination of an ageing population, the correlation between expenditures and age per se, and a steepening of the expenditure curve make establishing financially sustainable universal health care systems increasingly difficult. To mitigate budgetary pressure, we suggest that policy-makers encourage cost-effective medical advances and health care utilization in the treatment of elderly people. Moreover, we suggest that future health care expenditure forecasts include scenarios with a steepening of the expenditure curve. In the second chapter, I examine the effects of hospital clinic closures on patients living in municipalities where their nearest breast cancer clinic closes. Recent decades have seen a large number of hospital closures and consolidations, which have been carried out to stimulate returns to volume and specialization in hospital care. In the non-acute setting of scheduled breast cancer surgery, I examine how hospital clinic closures affect cost-saving metrics and the quality of care that closure-affected patients receive. The effects are identified using closures of breast cancer clinics in Denmark from 2000 to 2011, during which time the number of clinics was more than halved. Using event study designs, I examine changes in outcomes for patients living in municipalities where the nearest clinic had been closed. The results show that breast cancer clinic closures have been welfare-improving, as they have reduced the number of costly hospitalization days and shifted surgical procedures to state-of-the-art breast-conserving techniques without generating adverse health effects and without causing crowding in non-closing clinics. An examination of the mechanisms suggests that added volume returns at non-closing clinics were of less importance than simply reallocating patients to higher-quality clinics. The third chapter is coauthored with Sarah Wadmann, Toke Bek and Jakob Kjellberg. Clinical practice variation has been problematized as a symptom of suboptimal care and inefficient resource spending. Therefore, consistency in the delivery of healthcare is a recurring policy goal. In the third chapter, we examine a case where the introduction of a new treatment is most likely to provide consistency in health care delivery because it was introduced with a national clinical practice guideline representing consensus about best clinical practice among leading clinicians, and because care delivery was highly centralized to few high-volume treatment units. Despite the consensus on best clinical practice and care centralization, this study shows pronounced regional variation in patient outcomes and treatment costs. Using a mixed-methods design, we find that the lack of consistency in care was largely unrelated to patient-specific characteristics, but seemed to reflect structural differences in the regional organization and financing of healthcare delivery. We conclude that the value of clinical practice guidelines is undermined when structural barriers limit the ability of clinicians and clinical managers to scale up treatment, and that some degree of decentralization may be a tool to maintain the treatment intensity when the treatment effect is dependent on a high treatment intensity." "John Vincent Kramer, Stockholm University - (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-14";"10:15";"2022-01-14";"11:15";" Virtuel zoom seminar";"""The Cyclicality of Earnings Growth along the Distribution - Causes and Consequences"". Jobmarket seminar arranged by the Department of Economics";"""The Cyclicality of Earnings Growth along the Distribution - Causes and Consequences"" Abstract Earnings growth is more procyclical at the bottom of the income distribution than at the top. Using high-quality administrative data from Germany, I show that the heterogeneity is chiefly driven by transitions between employment and non-employment, specifically job-finding. I build a heterogeneous agent business cycle model that can rationalize these empirical findings. Agents in the model endogenously choose where to search for work in a labor market that features directed search. The model reproduces the heterogeneous procyclicality of earnings growth, as well as the contribution of job-finding, along the income distribution. I use this model to evaluate two policies aimed at reducing business cycle risk: countercyclical hiring subsidies and universal basic income (UBI). The first policy proposal increases welfare relative to the baseline economy. Implementing UBI decreases the volatility of aggregate consumption but decreases welfare overall. Contact person: Søren Leth-Petersen" "Alaïs Martin-Baillon, Sciences Po - (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-12";"09:00";"2022-01-12";"10:00";"Virtuel zoom seminar";"""When should we tax firms? Optimal corporate taxation with firm heterogeneity"". Jobmarket seminar arranged by the Department of Economics";"""When should we tax firms? Optimal corporate taxation with firm heterogeneity"" Abstract Corporate fiscal policy over the business cycle is carried out in very different ways over time and across countries. Moreover, little is known about how it should be conducted. This paper studies the design of optimal fiscal policy in a heteroge- neous firm environment, when the economy is hit by aggregate shocks. It provides tools to understand when and how heterogeneous firms should be taxed or subsi- dized over cycles. To tackle this issue, I first solve a tractable model which delivers a simple distribution of firms. In this framework, I provide an analytical character- ization of the corporate tax rate over the business cycle. Then, using a fully fledged heterogeneous firm model and cutting-edge computational method, I solve for the optimal path of the tax rate in this environment. My main result is that, in both exercises, the variation of the optimal tax rate depends on the expected persistence of the aggregate shock. This is due to the presence of financial constraints that prevent the allocation of capital from being optimal. I show that the magnitude of this problem varies over the business cycle depending on the persistence of the aggregate shock. When the shock is very persistent, this problem decreases and the optimal tax rate is pro-cyclical. On the contrary, when the shock is not persistent, this problem increases and the optimal tax rate is counter-cyclical. Contact person: Søren Leth-Petersen" "Lydia Assouad, Paris School of Economics - (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-11";"10:15";"2022-01-11";"11:15";"Virtuel zoom seminar";"""Charismatic Leaders and Nation-Building"". Jobmarket seminar arranged by the Department of Economics";"""Charismatic Leaders and Nation-Building"" Abstract This paper investigates the role of individual leaders in constructing a national identity. I study the activities and legacy of Mustafa Kemal “Atatürk”, the founder of modern Turkey. I create a novel historical database containing information on the locations and dates of Atatürk’s propaganda visits to over a quarter of Turkish cities between 1923 and 1938. Using variation over time and across space, and information on incidental visits to districts lying along Atatürk’s road, I find that Atatürk’s visits caused an increase of 7 percent in the use of first names in “Pure Turkish”, the new language introduced by the state as part of its homogenizing endeavor. I argue that this measure indicates a successful diffusion of the new national identity locally. The effect is persistent, growing in magnitude up until fifteen years after the visit before disappearing. Two main channels can explain this pattern of propagation. First, the visits provided the ground for institutional reforms, as they led to the formation of local branches of Atatürk’s party. Second, the effect is stronger in districts with more nationalistic associations, higher literacy rates and where Atatürk met with local elites, suggesting that co-optation of the elite is a key driver of the effect. My findings provide new evidence on the ability of an individual leader to construct a national identity, by rallying the elite and by fostering institution building, which in turn contribute to influencing people more broadly. Contact person: Søren Leth-Petersen" "Felix Chopra, University of Bonn - (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-11";"09:00";"2022-01-11";"10:00";"Virtuel zoom seminar";"""Media Persuasion and Consumption: Evidence from the Dave Ramsey Show”. Jobmarket seminar arranged by the Department of Economics";"""Media Persuasion and Consumption: Evidence from the Dave Ramsey Show"" Abstract Can entertaining programs influence individual consumption and savings decisions? I study this question by examining the impact of the Dave Ramsey Show, an iconic US radio talk show which encourages people to spend less and save more. To that end, I combine household-level expenditure records from a large scanner panel with fine-grained information about the geographic coverage of the radio show over time. Exploiting the quasi-natural experiment created by the staggered expansion of the radio show from 2004 to 2019, I find that exposure to the radio show decreases monthly household expenditures. This effect is driven by households with initially high expenditures relative to their income. In a mechanism experiment, I document that listening to the radio show has a persistent effect on people's attitudes towards consumption and debt. This suggests that attitudinal changes are a key mechanism driving behavioral change. My findings highlight the potential of entertaining mass media programs for interventions aimed at changing people's financial decisions. Contact person: Søren Leth-Petersen " "Sonja Settele, Department of Economics (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-10";"10:00";"2022-01-10";"11:00";"Virtuel zoom seminar";"“The drivers of socioeconomic inequality in life expectancy - Evidence from the context of cancer”. Jobmarket seminar arranged by the Department of Economics.";"“The drivers of socioeconomic inequality in life expectancy - Evidence from the context of cancer” Abstract Cancer is the leading cause of mortality in high-income countries and accounts for around one fourth of the income gradient in life expectancy. We present a sequential decomposition method, which allows to quantify the contribution of consecutive steps, such as the development of cancer, its diagnosis and treatment, to the overall income gradient in life expectancy. We apply this approach to administrative data covering the population of Denmark. Health-related factors account for the largest part of the cancer-specific difference in life expectancy between the top and bottom income tercile. In particular, low-income patients are more likely to develop the most deadly types of cancer and have a higher mortality conditional on type, stage and treatment of cancer. In contrast, factors related to health care, such as differences in the timeliness of detection and in cancer treatment, play a secondary role. Based on a traditional decomposition method, we find that cancers of the respiratory and of the digestive system – which are known to correlate with unhealthy lifestyles – are the main drivers of cancer-specific inequality in life expectancy. Our findings suggest that to mitigate inequality in cancer-specific mortality, policy makers should focus on cancer prevention, for instance through promoting healthier lifestyles. By contrast, there is little scope for reducing income-related inequality in life expectancy through more equal use of and treatment through the health care system. Contact person: Søren Leth Petersen" "Katrin Gödker Maastricht University - (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-07";"12:30";"2022-01-07";"13:30";"Virtuel zoom seminar";"""Investor Memory"". Jobmarket seminar arranged by the Department of Economics";"""Investor Memory"" Abstract We provide experimental evidence of a self-serving memory bias which affects individuals' beliefs and decisions to re-invest. Individuals over-remember positive investment outcomes of their chosen investments and under-remember negative ones. Based on their memories, subjects form overly optimistic beliefs about their investment and re-invest even when doing so leads to a lower expected return. We further provide evidence on a motivational mechanism driving the memory bias. Our findings contribute to the understanding of how people learn from their experiences in financial markets. More generally, the documented memory bias offers a consistent explanation for stylized facts about investor behavior. Contact person: Søren Leth-Petersen " "Florian Schneider, Zürich Universitet (Job Market Seminar)";"Jobmarket seminar arranged by the Department of Economics";"2022-01-07";"10:15";"2022-01-07";"11:45";"Virtuel zoom seminar";"""Sorting and wage premiums in immoral work"". Jobmarket seminar arranged by the Department of Economics";"""Sorting and wage premiums in immoral work"" Abstract We use surveys, laboratory experiments and administrative data to study how heterogeneity in the perceived immorality of work and in workers’ aversion to acting immorally impact labor market outcomes. Immoral work is associated with higher wages, both in administrative data and in causal evidence from a laboratory experiment. Using distinct individual measures, we show that those who find immoral behavior least aversive are more likely to be employed in immoral work in the laboratory and exhibit a relative preference for work in sectors perceived as immoral. Such sorting may impact society through the resulting workforce composition across distinct sectors. Joint with Fanny Brun and Roberto Weber Contact person: Søren Leth Petersen" "SODAS Data Discussion 17 December 2021";"SODAS";"2021-12-17";"10:30";"2021-12-17";"12:00";"Zoom";"Presentations by Peter Halkier Nicolajsen, Charles de Dampierre, Frederik Møller Henriksen & Jakob Bæk Kristensen";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Author:Peter Halkier Nicolajsen, Senior Data Scientist, LEGO Title:Effect of visible scalar feedback counts on user behavior in kids’ social media Abstract:Does the removal of visible ‘like’ counts align with theory in terms of its effect on behavior? This is investigated by monotoring differences in behavior between users of a kids’ social media experience, when visible like counts are removed for a share of the user base. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Author:Charles de Dampierre, PhD student, Ecole Normale Supérieure, Paris and a data scientist at the Science-Po medialab. His research focuses on using the semantic approach of the web to describe and explain the different mental representations people have of a phenomenon online. Title:Mapping the anti-Semitic footprint on Youtube in France Abstract:The rise of social networks has opened up a new space for communication and debate, without borders and without limits, where racist and anti-Semitic comments are worryingly multiplying. Recent advances in Natural Language Processing now make it possible to study this type of phenomenon on a new scale. A study carried out by the Science Po medialab and published in the annual report of the French Human Rights commission on the fight against racism, anti-Semitism and xenophobia explored this subject. From a corpus of 628 French news channels on Youtube and nearly two million comments, the team trained an algorithm to recognise anti-Semitic speech in order to study the dynamics and distribution of antisemitism in the French online informational space. This exploratory approach poses many challenges that will be discussed during the meeting. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Authors:Frederik Møller Henriksen, PhD & Jakob Bæk Kristensen, Postdoc, Roskilde University Title:Building large networks based on cross-platform link sharing for analysing online partisan communities This event will take place on Zoom" "UDDanKvant virtual seminar #3 Well-being data ";"UDDanKvant";"2021-12-14";"12:00";"2021-12-14";"13:30";"Zoom ";"";"Our new research unit UDDanKvant would like to invite you for our next seminar on well-being data (trivselsdata). The seminar will contain three short presentations on research projects using well-being data on children: Miriam Gensowski: Are Children's Socio-Emotional Skills Shaped by Parental Health Shocks? Jesper Fries: Does class size affect student well-being? - A fuzzy RD approach. Lykke Sterll Christensen: Bullying in Schools – An Analysis using Danish Well-being Surveys The seminar takes place via Zoom: https://ucph-ku.zoom.us/j/63525116270?pwd=QTRMOHBZcXdaci9sd1ZJeml1Y0g0dz09 Passcode: 231171 Meeting id: 635 2511 6270 " "Stellio Del Campo, Mercator Research Institute on Global Commons and Climate Change";"Environmental Economics seminar arranged by the Department of Economics";"2021-12-13";"13:00";"2021-12-13";"14:00";"Virtuel zoom seminar";"""Inequality Aversion for Climate Policy"". Environmental Economics seminar arranged by the Department of Economics";"""Inequality Aversion for Climate Policy"" Abstract A sizeable body of literature on climate economics utilizes the notion of inequality aversion. We review and synthesize published estimates of inequality aversion to guide this literature. We review both axiomatic and empirical studies, accordingly our findings draw on different lines of evidence. In the former case, a variety of ethical principles underlie the recommendations for positive inequality aversion. The latter studies use various methods to present estimates based on some form of “revealed ethics,” for example by looking at existing progressive income tax-schedules or the level of foreign aid. Here we find strong support for the view that inequality aversion is positive (but potentially small) and very little support for any value larger than 3. The vast majority of studies that look at domestic policies support values in the range 1-2, whereas studies that look at foreign aid find lower values ranging from above zero to unity. Contact person: Frikk Nesje" "Tim Landvoigt, Penn Wharton School ";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-12-10";"14:15";"2021-12-10";"15:15";"Via Zoom and at: CSS, Øster Farimagsgade 5, (lokale 26-2-21), 1353 Kbh K";"""Can Monetary Policy Create Fiscal Capacity?"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Can Monetary Policy Create Fiscal Capacity?"" Abstract Governments around the world have gone on a massive fiscal expansion in response to the Covid crisis, increasing government debt to levels not seen in 75 years. How will this debt be repaid? What role do conventional and unconventional monetary policy play? We investigate debt sustainability in a New Keynesian model with an intermediary sector, realistic fiscal and monetary policy, endogenous convenience yields, and substantial risk premia. During an economic crisis of the same magnitude as the 2020 Covid recession, increased government spending and lower tax revenue lead to a large rise in government debt and raise the risk of future tax increases. We find that quantitative easing (QE) and a higher inflation target contribute to lowering the debt/GDP ratio and reducing the risk of future tax increases. QE is state- and duration-dependent: while a temporary QE policy deployed in a crisis stimulates aggregate demand, permanent QE crowds out investment and lowers long-run output. Joint with Vadim Elenev, Patrick Shultz, and Stijn Van Nieuwerburgh Contact person: Patrick Moran" "DISTRACT seminar with Naja Hulvej Rod";"DISTRACT - SODAS";"2021-12-10";"11:00";"2021-12-10";"12:00";"Zoom";"On the 10th of December, professor of public health Naja Hulvej will give a talk at a DISTRACT seminar entitled:Smartphone Interrupted Sleep: a New Public Health Challenge";"On the 10th of December, professor of public health Naja Hulvej will give a talk at a DISTRACT seminar entitled: Smartphone Interrupted Sleep: a New Public Health Challenge AbstractSleep is a nightly process of biological restitution and disruption of this process may lead to severe health consequences. Smartphones are easily carried into bed and offer multiple facilities that may disrupt sleep through mental activation (e.g., social media, streaming, news feeds). Also, the artificial bright light exposure from smartphones and the emission of electromagnetic radiation can delay release of sleep hormones and affect sleep latency. Thus, the massive and increasing 24-hour usage of smartphones raises public health concern. The SmartSleep Study has been established to comprehensively assess the impact on nighttime smartphone use on sleep patterns and health. An innovative combination of large-scale repeated survey information, high resolution sensor-driven smartphone data, in-depth clinical examination and registry linkage allow for detailed investigations into multisystem physiological dysregulation, obesity, sub-optimal mental health, reduced fertility, and long-term health consequences associated with night-time smartphone usage and sleep impairment. In this lecture, Naja Hulvej Rod will discuss the value of citizen science approaches to gain insight into smartphone interrupted sleep, and she will present the first findings from the SmartSleep Study. BioNaja Hulvej Rod is Chair of the Section of Epidemiology at University of Copenhagen, which is a strong interdisciplinary and international environment that contributes to the development of the field of theoretical epidemiology, with a specific focus on causal inference, complexity, and life course epidemiology. She is also leading an interdisciplinary Complexity and Big Data Group. Health is a complex phenomenon, and she aims to study the social and biological factors determining health and disease and to elucidate the underlying behavioral, psychological, and physiological mechanisms that might explain these effects. She has solid experience in working with longitudinal datasets, register-based research and complex modelling including social influences and group dynamics. To embrace complexity in epidemiology, she actively explores new sources (e.g., smartphones) of ‘big data’, incorporate system theory thinking and leverage insights across disciplines. She is involved in several citizen science projects with a direct societal engagement and impact. Join Zoom Meetinghttps://ucph-ku.zoom.us/j/66709037409 Meeting ID: 667 0903 7409" "Christina Gravert, Department of Economics";"Teaching seminar arranged by the Department of Economics";"2021-12-08";"09:15";"2021-12-08";"10:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-20/21), 1353 Kbh K";"""Nudging Attention – The use of field experiments to inform behavioral public policy"". Teaching seminar arranged by the Department of Economics";"""Nudging Attention – The use of field experiments to inform behavioral public policy"" Attention is a limited resource. While traditional economic models assume that we process all information that is available when making decisions, recent empirical work has shown that this is often not the case. However, unless individuals pay attention to information or incentives, these types of policies will be ineffective in changing behavior. In this teaching seminar, I will present my field-experimental work on attention nudges, such as reminders and salience. Based on this work, we will discuss the diverse challenges in generating attention for policy." "Axel Gottfries, Edinburgh University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-12-03";"13:15";"2021-12-03";"14:15";"Porcelænshaven 16A, 2000 Frederiksberg, second floor, room 2.80";"""Infrequent Wage Adjustments and Unemployment Dynamics"". KU - CBS Virtual Macroeconomics Seminar";"""Infrequent Wage Adjustments and Unemployment Dynamics"" Abstract We study the allocative effects of infrequent wage adjustment in long-term employment relationships subject to idiosyncratic and aggregate shocks. We devise a novel theory of wage dynamics that follow a drunken walk, whereby wages adjust minimally such that neither firm nor worker can credibly threaten to initiate a renegotiation of the wage. The theory is amenable to analytical solution for the endogenous wage adjustment bounds, and is easily embedded into canonical models of aggregate labor market equilibrium, allowing a study of its allocative implications for unemployment dynamics. Extensions to accommodate an inflationary environment and on-the-job search further allow an interpretation of recent evidence on nominal wage adjustment, and the role of base vs. non-base pay in wage flexibility. Contact person: Birthe Larsen" "SODAS Lecture: Controversial encounters: Human entanglements with data and algorithms";"SODAS";"2021-12-03";"11:00";"2021-12-03";"12:30";"CSS, 2.1.36 or Zoom";"SODAS lecture with Sine Nørholm Just, professor of strategic communication, Department of Communication and Arts, Roskilde University";"We are delighted to host Prof. Sine Nørholm Just for the last SODAS lecture in 2021. Abstract The ever-increasing use of digital algorithms for the collection and interpretation of big data fundamentally changes the way in which we form opinions and make decisions – as individuals and in society. Previously, this transformation happened outside of the attention of the public, but it has now become a pressing issue of public concern. Data and algorithms are not only the pervasive technological infrastructure of public debate, but also a frequent topic of such debate. Thus, the entanglements of data and algorithms with society have become controversial in two respects: on the one hand, algorithmic infrastructures intensify and polarize issues of public concern. On the other hand, algorithmic decision-making is detached from citizen scrutiny and deliberation. This conjunction of societal and technological developments potentially leads to crises of trust in the technologies and institutions of democratic society. The Algorithm, Data & Democracy-project explores the reasons for this development and the possibilities for turning it around, asking how data and algorithms can serve the greater good of society. In this lecture, Sine N. Just presents the key tenets of the project as well as her own work on controversial encounters as a reconceptualization of the ideal of deliberation for algorithmic public debate. Bio Sine N. Just is professor of strategic communication at the Department of Communication and Arts, Roskilde University. She is principal investigator of Algorithms, Data & Democracy, a collaborative research project funded by the Villum and Velux Foundations. Sine studies mediated processes of strategizing and meaning formation, broadly speaking. She is particularly interested in the ways in which digital technologies influence processes of public debate and in how these technologies are, in turn, debated. Her existing research conceptualizes the interrelations of legitimacy and identity as mediated through – and established in – citizen engagement. Her empirical attention spans such issues as e.g. public debate about the future of the EU, the communicative dimensions of the global financial crisis, and organizational negotiations of diversity and difference. You can also join this lecture via Zoomhttps://ucph-ku.zoom.us/j/66322616926?pwd=L281cGFFbmR1UUd6dXN3ckhDVDJ4UT09 Meeting ID: 663 2261 6926Passcode: 340332 This fall, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted Human Being human in 2021 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors." "Rocio Madera, SMU";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-11-26";"14:15";"2021-11-26";"15:15";"Virtuel zoom seminar";"""Assortative Mating and Income Dynamics of Couples"". KU - CBS Virtual Macroeconomics Seminar";"""Assortative Mating and Income Dynamics of Couples"" Abstract In households of two (potential) earners, the second earner can act as an important insurance channel against individual income risk. While this is agreed upon, there is no consensus on the size of this spousal insurance. In this paper, we document a large amount of heterogeneity in income co-variation of partners and show how this heterogeneity is systematically related to observable joint characteristics of couples—including age, wealth, and various measures of sorting in the labor market. In particular, we use tax register data on the full Danish population to analyze the relationship between marital sorting and the joint income dynamics of spouses. We find, first, that spouses are sorted along various dimensions, including education, career, and employer. Second, spouses that are similar along these dimensions display stronger co-movement of their annual incomes. This is consistent with the notion that the scope of spousal adjustments in response to labor income shocks of the partner is limited by the extent to which both face correlated labor market risk; e.g., spouses working in the same occupation provide worse insurance because they are exposed to the same occupation-level risk. We further provide evidence that the uncovered heterogeneity across couples translates into systematic variation in household consumption, which is a crucial driver of household-level reactions to, e.g., fiscal policy in the form of transfer payments. Finally, we consider a standard joint income process for two earners allowing for correlation of the innovations received by both earners. We find that the empirical sorting patterns translate into a stronger correlation of the permanent components of each spouse's individual earnings. Contact person: Laura Sunder-Plassmann" "SODAS Data Discussion 26 November 2021";"SODAS";"2021-11-26";"11:00";"2021-11-26";"12:00";"CSS, SODAS conference room 1.2.26";"With Anna Rogers, Germans Savcisens & August Lohse";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Authors:Anna Rogers, PostDoc (SODAS) and Germans Savcisens, PhD fellow (DTU/SODAS) Title:Life2vec: what Transformers can learn about us from government statistics - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Author:August Lohse Title:Mapping intra governmental conflict using document embeddings Abstract: In this data discussion I expand on recent advances in using word and document embeddings for estimating latent ideological representations in parliamentary corpora. Using the transcripts of the Danish parliament, I examine how it is possible to gauge conflict in both the opposition and government in a multiparty system, using low dimensional representations of the word embeddings. I likewise discuss some issues in working with parliamentary data, such as government/non-government language and different amount of documents. " "Attila Lindner, UCL";"CoLab seminar arranged by the Department of Economics";"2021-11-22";"13:15";"2021-11-22";"14:45";"CSS, Øster Farimagsgade 5, (lokale 26-2-20/21), 1353 Kbh K";"""The Impact of Payroll Tax Subsidies: Theory and Evidence"". CoLab seminar arranged by the Department of Economics.";"""The Impact of Payroll Tax Subsidies: Theory and Evidence"" Abstract We study the employment and wage effects of age-dependent payroll tax subsidies for both younger (under 25) and older (over 55) workers using a policy change in Hungary. Using rich administrative data and a difference-in-differences strategy, we find that employment increases in both age groups as a result of the payroll tax cut, but the effects differ by job and firm characteristics. Employment of older workers mostly increases in blue collar jobs and at less productive and lower-quality firms. On the other hand, employment of older workers at more productive and higher-quality firms is unaffected, but their wages increase in response to the tax cut. We explain these findings using an equilibrium job search model with heterogeneous firms and workers. In the model, more productive firms hire skilled workers by poaching them from other firms. Tax reduction for these firms mainly increase worker's wages, while employment is not affected. On the other hand, low-productivity firms, which tend to hire from unemployment, mainly react to the tax subsidy by increasing employment and the effect on wages is limited. These results point to important heterogeneity in the incidence of payroll tax subsidies by firm and worker types: the incidence mainly falls on low-productivity firms, and higher-skilled workers. Joint with Aniko Bıro, Reka Branyiczki, Lili Mark, Daniel Prinz Contact person: Nikolaj Arpe Harmon" "Marta Giagheddu, Lund University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-11-19";"13:15";"2021-11-19";"14:15";"CSS, Øster Farimagsgade 5, Building 35 (Room 35.2.01 ), 1353 Kbh K and via Zoom";"""The Distributional Implications of Fiscal Devaluations"". KU - CBS Virtual Macroeconomics Seminar";"""The Distributional Implications of Fiscal Devaluations"" Abstract This paper explores the distributional implications of a fiscal devaluation acquired through a shift from labor to consumption taxes in an open-economy Heterogeneous Agents New Keynesian model with incomplete markets and uninsurable income risk. A permanent fiscal devaluation perfectly mimicking a nominal devaluation in aggregate implies an increase in transfers balanced by lower profits. This leaves the representative agent unaffected. However, as the higher transfers affect all agents symmetrically, while decreased profits impact agents according to their wealth, distributional effects arise. The implicit insurance provided by higher transfers benefits wealth-poor agents and mitigates the equity concerns associated with fiscal devaluations. Contact person: Jeppe Druedal" "Final & Joint Econ Dignity Workshop lll ";"Department of Economics";"2021-11-19";"12:00";"2021-11-19";"16:00";"CSS 26-2-21";"";"We would like to invite you for the final and joint Project Dignity workshop for staff and students. Until now students and staff have worked in separate tracks to ensure that different views and positions have been shared, and we look forward to discuss how we can continue the work on creating the best possible work and study environment at our Department. We will work on three themes: Professional interactions Social interactions Study environment The focus will be on how we progress and how we anchor forthcoming initiatives. As we strive to ensure the engagement and contributions of all employees and students, we strongly encourage you to take the time to engage in this finalising phase. We look very much forward to frank discussions and creative input, and we appreciate your interest and valued contribution. Please sign up for the workshop, lunch and refreshments below (no longer available). " "DISTRACT seminar with Andreas Lieberoth";"DISTRACT - SODAS";"2021-11-19";"11:00";"2021-11-19";"12:00";"CSS 1.2.26 (SODAS conference room)";"Mapping public sentiments and worries about digital media";"Mapping public sentiments and worries about digital media - two studies of parents and one on the media International research on proposed psychological, behavioral and societal impacts of technogies like social media, mobile phones and tablets has been forced to run very fast indeed, to catch up with public discourses. This presentation sums up three interrelated studies investigating the views and worries of Danish parents and media representations about the risks of “screen time”. Based on a content analysis of voices and worries represented in Danish news media to map the broad public conversation, we conducted two studies of parents: In a cross-sectional design we tested the hypotheses that levels of parental worry over screen time would be mediated by demographics and individual tendencies towards perfectionism/maximizing, subscription to popular neuromyths or views of the ‘good childhood’. In a case-control design we tested parents’ abilities to predict adverse outcomes of what they perceived as excessive gaming, while meeasuring their children’s cognitive control, psychologycal wellbeing and indicators of addiction according to the problem gaming litterature. When visiting SODAS I want to bring the findings from these studies together to open a discussion about how future research and communication might best benefit parents and decision makers in a space heavily influenced by worries, suppositons and contested expert voices. Bio: Andreas Lieberoth is an associate professor in educational psychology at the Danish School of Education (DPU), Aarhus University, and a senior research fellow at the Interacting Minds Center (IMC). His work centres on how new technologies affect behaviour, learning, work, and play, and especially how these issues are perceived in society. " "Økonomisk Eksploratorium #19 om Strukturel Mikroøkonometri";"Økonomisk Institut";"2021-11-18";"16:00";"2021-11-18";"18:00";"Lokale CSS 26.3.21 på Det Samfundsvidenskabelige Fakultet, Københavns Universitet";"";"Synes du nogle gange, at der er langt fra de teoretiske modeller til virkelighedens verden? Og har du også undret dig over, hvordan din viden om nyttefunktioner og ligevægtsmodeller fra mikroøkonomi kan anvendes på data i en økonometrisk model? Og hvordan forudser man konsekvenserne af en reform, som er uden historisk fortilfælde? Svaret er strukturel mikroøkonometri, som vi dykker ned i ved næste Økonomiske Eksploratorium torsdag den 18. november kl. 16-18 på 3. sal i Bygning 26. Med udgangspunkt i deres egen forskning forklarer Anders Munk-Nielsen og Bertel Schjerning, hvordan de modellerer markedet for biler for at forstå, hvordan markedsligevægten for både nye og brugte biler påvirkes af grundlæggende reformer af bilbeskatningen. Christian Langholz Carstensen og Maria Juul Hansen fortæller, hvordan man kan modellere ligevægten på boligmarkedet med henblik på at analysere store tiltag som Lynetteholmen. Om Økonomisk Eksploratorium Hvert semester afholder Økonomisk Institut flere åbne arrangementer. Vi kalder dem Økonomisk Eksploratorium og hver gang tager vi afsæt i aktuel forskning på instituttet og vores impact i samfundet. Med arrangementerne åbner vi dørene ind til forskningsmiljøet og viser hvordan økonomi bliver brugt i virkeligheden. Økonomisk Eksploratorium er for studerende, og alle andre med interesse for økonomi, som gerne vil møde forskerne uden for forelæsningslokalerne. Derfor taler vi et sprog, som alle kan forstå. Det er gratis at deltage, du behøver ikke at tilmelde dig, og det er hyggeligt med levende lys og masser af kaffe, te og kage. Alle arrangementer finder altid sted på torsdage fra kl. 16-18 på CSS i bygning 26 på 3. sal. " "Workshop on Financial Transaction Taxes";"Department of Economics";"2021-11-17";"12:00";"2021-11-18";"13:00";"Room 26.2.21 and 35.03.12, University of Copenhagen, Øster Farimagsgade 5, ";"";"In recent years, some European countries have implemented a small tax on trades in stock markets, and more countries may follow suit. This workshop features ongoing research on topics connected to such a tax on financial transactions. Combining insights from economics and finance, some presentations draw on the economics of taxation, while other presentations relate to financial market microstructure, with its focus on market frictions and design. Further relevant contributions can be included in the workshop. Joint keynote speakers are Bruno Biais of HEC Paris and Jean-Charles Rochet of the University of Zurich. The workshop organizer is Peter Norman Sørensen of the University of Copenhagen. The workshop takes place physically at the premises of the University of Copenhagen, with no opportunity for virtual participation. Programme Download programme Location The workshop takes place at Department of Economics in Building 26 and Building 35 at University of Copenhagen at Øster Farimagsgade 5, 1353 Copenhagen. All sessions November 17th takes place in Building 26. Building 26 is closest to the campus entrance at Gammeltoftsgade 17, 1353 Copenhagen. All sessions November 18th takes place in Building 35. Building 35 is closest to the campus entrance at Gammeltoftsgade 15, 1353 Copenhagen. " "Sebastian Fanelli, CEMFI";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-11-12";"13:15";"2021-11-12";"14:15";"Virtuel zoom seminar";"""Firm Export Dynamics in Interdependent Markets"". KU - CBS Virtual Macroeconomics Seminar";"""Firm Export Dynamics in Interdependent Markets"" Abstract Firms exhibit persistence in their export destinations and these destinations tend to be similar to their home market or to other export destinations of the firm. To account for these patterns in firms’ export decisions, we develop a dynamic model featuring country-specific fixed and sunk export costs, and allow the fixed costs that a firm pays to export to a country in a period to depend on which other countries the firm exports to in the same period. Sunk costs and complementarities across countries in fixed export costs jointly imply that a firm’s export decision in a country and period will impact its export decisions in any other country in any future period. Each firm in our model thus decides in every period the bundle of countries it exports to by solving a forward-looking dynamic combinatorial discrete choice model. Using a novel solution algorithm and detailed data for the period 2005-2015 on the export choices of the universe of manufacturing firms located in Costa Rica, we study the importance that cross-country complementarities play in determining firms’ export decisions. Co-authors: Alonso Alfaro-Ureña (Banco Central de Costa Rica), Juan Manuel Castro Vincenzi (Princeton), Eduardo Morales (Princeton) Contact person: Martín Gonzalez Eiras " "Gizem Kosar, NY Fed ";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-11-05";"13:15";"2021-11-05";"14:15";"Virtuel zoom seminar";"""The Work-Leisure Tradeoff: Identifying the Heterogeneity"". KU - CBS Virtual Macroeconomics Seminar";"""The Work-Leisure Tradeoff: Identifying the Heterogeneity "" Abstract In this paper, we identify individuals’ tradeoff for work and leisure as well as the underlying preference heterogeneity by designing a novel survey that was fielded as a special module of the NY Fed’s Survey of Consumer Expectations in December 2017. We present respondents with individually-tailored hypothetical scenarios, in which they are asked to choose between two job offers or the option of remaining unemployed. Job offers are characterized by hourly wages and hours. We validate the survey responses using several approaches. We next use this rich variation to estimate a canonical labor supply model to recover the unique preference parameters separately for different demographic groups, without imposing any parametric assumption on the underlying distribution of the heterogeneity in preferences. We estimate our model using Method of Simulated Moments and use the estimated model to simulate Marshallian and Frisch elasticities at the group level. The implied elasticities vary systematically across demographic groups. Our results also imply substantial heterogeneity in elasticities within each of the demographic groups. Moreover, we find that accounting for the heterogeneity in preferences often widens the across-group differences. In order to highlight the importance of this heterogeneity, we assess the impact of policy changes in the tax policy using the distribution of elasticities and compare the results with the response in hours computed using a single aggregate elasticity (as is done in the literature). Our results show that both the average hours response and the distributional impact to a change in the marginal tax rate are substantially biased if the underlying heterogeneity in preferences is not taken into account. This underscores the need for taking this heterogeneity seriously, and the power of our approach for uncovering it. (with Aysegul Sahin and Basit Zafar) Contact person: Patrick Moran" "Kristoffer Lind Glavind forsvarer sin ph.d.-afhandling";"";"2021-11-02";"14:45";"";"";"Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, CSS 1.1.18";"Kristoffer Lind Glavind forsvarer sin ph.d.-afhandling: ""Smartphones’ effects on attention and behavior""";"Kristoffer Lind Glavind forsvarer sin ph.d.-afhandling:""Smartphones’ effects on attention and behavior"" For at overvære forsvaret over zoom kan du bruge dette link: https://ucph-ku.zoom.us/j/9536476672Pass code: 1234 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Mogens Fosgerau, Økonomisk Institut, Københavns Universitet, Danmark (formand) Associate Professor Michael Szell, ITU Professor dr. JN van Ommeren, Vrije Universiteit Amsterdam Abstract In this Ph.D. dissertation, I analyze how smartphones affect human life through three separate chapters. Examining different domains of human life, the chapters have several things in common. First, they all relate to how smartphones affect human attention. Second, they all use data collected from smartphones to examine the influence of smartphones. Third, in all three chapters, analyzes are made based on advanced data structuring and the use of econometric models seeking to establish causal claims when possible. Smartphone use is socially contagious In the first chapter, we show a sharp increase in smartphone use when traveling between EU countries after June 15th, 2017, when the Roam-Like-at-Home initiative removed tariffs. We see this as causal evidence that the Roam-Like-at-Home initiative increased smartphone use, with an average daily increase in screentime of 6%. This increase was primarily driven by social media apps, browser and search apps, and map apps. Further, we investigate the effect on mobility patterns and find that while travellers due to free roaming visit 6% more locations a day, they spend 5% less time on transportation like cars and trains. This suggests that mobile internet access help travellers visit more places and travel more efficiently. Nature unplugged or interrupted? In the second chapter, we contribute to an extensive literature on how natural areas affect human well-being. We examine both the effect of natural areas overall (both recreational and nature areas) and recreational and nature areas separately. We use data from the Copenhagen Network Study to follow 701 young adults' phone use for two years and fixed effects models to account for individual-specific and time-specific effects. We show that exposure to natural areas in general (including both nature areas and recreational areas) only slightly affects smartphone use relative to being in urban areas. However, we find that these effects differ substantially over the type of natural areas. While being in nature (e.g., forests or nature reserves) reduces smartphone screentime, texting, and calling by 4%, 6%, and 7%, respectively, being in recreational areas (e.g., parks or recreational grounds) does not affect smartphone screentime, but increases texting and calling by 11% and 17% respectively. Further, we show that the effect of being in a specific environment changes depending on how long time you have been in the specific environment and that nature reduces smartphone use more when users are staying still in nature, compared to moving through nature. Finally, we find that the users who spent the most time in nature also lowers their phone use the most when being in nature. In contrast, infrequent nature visitors increase their screentime when being in nature. Smartphone use is socially contagious In the third chapter, we show that smartphone use spread between individuals that are near each other. The spread of smartphone use only occurs between individuals who have a social relation. We, therefore, conclude that smartphone use spreads through social mechanisms. We show this by using data from a large-scale field study running for more than two years, which has the unique feature that it includes detailed information about nearby individuals. To causally identify the effect of one individual's screentime on nearby individuals, we use the arrival of text messages (SMS) as quasi-random natural experiments and track phone use for all co-present individuals before and after the arrival of the text message. Showing that smartphone use is contagious has the potential to change the way we think about smartphone use. Because it is contagious, individuals' smartphone use goes from exclusively affecting the individual to also affecting nearby peers. Since there are indications that additional smartphone use is harmful to the individual, smartphone use arguably exhibits a negative externality, which would be an argument for regulation. This can be compared to second-hand smoking, where evidence of adverse effects on co-present individuals has led to heavy regulation." "Joachim Hubmer, University of Pennsylvania";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-10-29";"13:15";"2021-10-29";"14:15";"Virtuel zoom seminar";"""Not a Typical Firm: The Joint Dynamics of Firms, Labor Shares, and Capital-Labor Substitution"". KU - CBS Virtual Macroeconomics Seminar";"""Not a Typical Firm: The Joint Dynamics of Firms, Labor Shares, and Capital-Labor Substitution"" Abstract The decline in the U.S. labor share is not uniform across firms. While the aggregate labor share has declined, especially in manufacturing, retail, and wholesale, the labor share of a typical firm in these industries has risen. This paper studies the dynamics of the substitution of capital for labor at the firm level and its implications for market structure and labor shares. We introduce a model where firms make costly upfront investments to adopt the capital-intensive technologies required to automate tasks. Following a decline in the price of capital, large firms automate more tasks and become more capital-intensive, while the median firm continues to operate a labor-intensive technology. In line with firm-level data, our model generates transitions in which the labor share of the median firm increases at the same time as the aggregate labor share declines. We use an extension of our model that allows for endogenous markups to study the role of rising competition and reallocation towards more productive and higher-markup firms as another driver of the decline in the labor share during 1982--2012. Using an indirect inference approach, we find that reallocation played a minor role in explaining the decline in the labor share in U.S. manufacturing but an important role in retail and other sectors. The substitution of labor with cheaper capital in a widening range of tasks played a more dominant role in explaining the decline of the manufacturing labor share. This conclusion is in line with direct estimates of markups and output elasticities for firms in Compustat. Contact person: Katja Mann" "DISTRACT seminar with Signe Sophus Lai";"DISTRACT - SODAS";"2021-10-29";"11:00";"2021-10-29";"12:00";"CSS, SODAS, 1.2.26";"Networks of Power: Analysing the political economy of digital infrastructures";"Networks of Power: Analysing the political economy of digital infrastructures The talk hovers around the structural consequences of the gradual shift to internet-based communication. It discusses how the conditions and characteristics associated with the Nordic Media Welfare state (Syvertsen et al., 2014) have come under pressure and ultimately been transformed as a result of legacy institutions losing control over the more mature digital infrastructure: Global, commercial players increasingly dominate all parts of the digital media and communication sector; digital communication services are subject to significantly less control than legacy media as government agencies have not yet managed to adjust and develop the regulatory frameworks; and so, welfare values and logics have been weakened as a more commercial regime has emerged. Based on a conceptual framework for mapping and analysing digital communication systems (Flensburg & Lai 2019; 2020a), the talk focuses specifically on a study of the evolution of the internet infrastructure in Denmark, which assesses emerging digital power structures and regulatory dynamics (Flensburg & Lai, 2020b). We revisit and develop Thomas P. Hughes’ momentum theory (1994) and contend that the internet, as other large technological systems (i.e. the electrical grid), has evolved in different phases reflecting a shift from being mainly influenced by socio-economic conditions to having a determining influence on the development of societal structures. We argue that contemporary internet infrastructure studies can benefit from Hughes’ theoretical approach, but also need to strengthen their methodological and empirical strategy. The study contributes to this by approaching the changes in digital infrastructures, markets, and state policies in Denmark from 1992 to 2019. Building on database material, we analyse the development of digital devices and broadband connections, fibre-optic submarine cables and internet exchange points (IXPs), web domains, and digital data. The analysis, and the conceptual framework, challenge and extend the institutional approach to systemic media analysis represented by e.g., Hallin & Mancini (2004) by emphasizing the material and infrastructural aspects of mediated communication as important analytical dimensions. Taken together, the talk presents an alternative interpretation of how the internet has influenced the welfare regime that governed mediated communication in the past. It also serves as a point of departure for current and future comparative undertakings, where we explore the impact of the welfare model on how digital communication systems are developing across the different welfare regimes of the Nordic countries Signe Sophus Lai is Assistant Professor at the Department of Communication, University of Copenhagen. " "Kristoffer Balle Hvidberg forsvarer sin ph.d.-afhandling";"";"2021-10-28";"16:00";"";"";"Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, CSS 26.2.21";"Kristoffer Balle Hvidberg forsvarer sin ph.d.-afhandling: ""Financial Problems, Fairness Views and Crime: Evidence from New Combinations of Administrative Records and Online Surveys and Experiments""";"Kristoffer Balle Hvidberg forsvarer sin ph.d.-afhandling:""Financial Problems, Fairness Views and Crime: Evidence from New Combinations of Administrative Records and Online Surveys and Experiments"" For at overvære forsvaret pr zoom se venligst dette link: https://ucph-ku.zoom.us/j/9536476672Pass code: 1234 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Asger Lau Andersen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Roine Vestman, Stockholm Universitet Professor Randi Hjamarssen, Økonomisk Institut, Göteborg Universitet Abstract This PhD dissertation consists of three self-contained chapters. All three chapters leverage new combinations of administrative records and data from online surveys and experiments. Chapter 1 documents how extensive economic education can reduce the risk of getting into financial problems by comparing people who enter business and economics programs with people who enter other higher education programs. To identify the causal effect, I exploit GPA admission thresholds that quasi-randomize applicants near the thresholds into different programs. I find that admission to an economics education significantly reduces the probability of loan default by one-half. This large reduction in the default probability is associated with changes in financial behavior, but it is not associated with differences in the level or stability of people's income. Chapter 2 is co-authored with Claus Thustrup Kreiner and Stefanie Stantcheva. In this chapter, we link survey data containing Danish people’s perceptions of where they rank in various reference groups and fairness views with administrative records on their income history, life events, and reference groups. People know their income positions well, but believe others are closer to themselves than they really are. The perceived fairness of inequalities is strongly related to current social position, moves with shocks to social position (e.g., unemployment or promotions), and changes when people are experimentally shown their actual positions. People view inequalities within education group and co-workers as most unfair, but underestimate inequality the most exactly within these reference groups. Chapter 3 is co-authored with Thomas Epper, Ernst Fehr, Claus Thustrup Kreiner, Søren Leth-Petersen and Gregers Nytoft Rasmussen. In this chapter, we revisit a key topic in Social Science, namely who commits crime and why which is important for the design of crime prevention policy. In theory, people who commit crime face different social and economic incentives for criminal activity than other people or they evaluate the costs and benefits of crime differently because they have different preferences. Empirical evidence on the role of preferences is scarce. Theoretically, risk tolerant, impatient and self-interested people are more prone to commit crime than risk averse, patient and altruistic people. We test these predictions with a unique combination of data where we use state-of-the art methods in experimental economics to elicit the preferences of young men and link this experimental data to their criminal records. In addition, our data allow us to control extensively for other characteristics such as cognitive skills, socio-economic background and self-control problems. We find that preferences are strongly associated with actual criminal behavior. Impatience and, in particular, risk tolerance are still strong predictors when we include the full battery of controls. Crime propensities are 8-10 percentage points higher for the most risk tolerant individuals compared to the most risk averse. This effect is half the size of the effect of cognitive skills, which is one of the best predictors of criminal behavior. Looking into different types of crime, we find that preferences predict property offences, while self-control problems predict violent, drug and sexual offences." "Econ Student Workshop Project Dignity ll";"White Cloud & Faculty of Social Sciences";"2021-10-26";"17:30";"2021-10-26";"20:00";"CSS 26.2.21";"";"Let’s s shape the future study environment together Have you as a student at the Economics programme experienced any kind of unwanted behaviour? At seminars? Parties? Friday bars? Following the ongoing debate regarding lack of inclusion, discrimination, unacceptable behaviour, and sexual harassment, the Faculty of Social Sciences has initiated Project Dignity aiming at defining the framework for what is considered decent behaviour and a constructive and professional study and work environment. It is now time for the second workshop for the students of Economics. It is not a prerequisite that you were a part of workshop 1. Everyone is welcome. There will be served coffee, tea, cake, fruit and pizzas. Remember to sign up, so we know how much to order. Programme The workshop will start with an introduction to the project and a summary of the work so far. The work sessions will then be divided into two sections with a focus on the following three themes: 1) The tutor programme as well as the general introduction to the Economics programme.2) Social events at the Economics programme (parties, Friday bar etc.)3) Study life/environment – what culture/behaviour do we want at the Economics programme? Section one will focus on creating a shared and common understanding of the problem at hand by exploring the challenges and critical issues. Section two will focus on potential future initiatives that can create the desired change and create an inclusive and respectful culture. Participants will have the opportunity to propose initiatives and ideas that will ensure that no one will feel harassed, discriminated or excluded at the Department of Economics. Sign up Sign up for the workshop here The workshop will be conducted by the consulting firm White Cloud. Everyone is deeply encouraged to take the time to engage in the project, as the outcome will influence the study environment ahead." "SODAS Lecture with Serge Belongie";"SODAS";"2021-10-15";"11:00";"2021-10-15";"12:30";"CSS, room 35.0.12 ";"“The Pioneer Centre for Artificial Intelligence” by Professor Serge Belongie.";"""The Pioneer Centre for Artificial Intelligence"" We are delighted to host Prof. Serge Belongie for this semester’s second SODAS lecture. Abstract The purpose of the lecture is to introduce the new Pioneer Centre for Artificial Intelligence, which is hosted at the Department of Computer Science, University of Copenhagen, and will be located just across from SODAS in the old UCPH Observatory (currently under renovation). Funded by a DKK 352,4 million (€47 million) grant from the combined foundations: Novo Nordisk, Denmark’s National Research Foundation, Villum, Lundbeck and Carlsberg, the Pioneer Centre for Artificial Intelligence aims to stand at the international forefront and develop platforms, methods, and practices for a human centric AI. Groundbreaking fundamental AI research will be pursued within an interdisciplinary framework. Inspired by the motto Nothing About Us, Without Us (NAUWU), the center is based on the idea that no policy should be decided by any representative without the full and direct participation of members of the group(s). The center is organized into seven collaboratories structured around an AI research theme with 2-3 PIs as well as PhD students and postdocs attached. Researchers from the University of Copenhagen, Denmark’s Technical University, IT University, Aalborg University, and Aarhus University co-lead these efforts, along with Director, Professor Serge Belongie. Speaker bio Serge Belongie is a professor of Computer Science at the University of Copenhagen, where he also serves as the head of the Pioneer Centre for Artificial Intelligence. Previously, he was a professor of Computer Science at Cornell University, an Associate Dean at Cornell Tech, and a member of the Visiting Faculty program at Google.His research interests include Computer Vision, Machine Learning, Augmented Reality, and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona, Anchovi Labs, and Orpix. He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review “Innovators Under 35” Award, and the Helmholtz Prize for fundamental contributions in Computer Vision. This fall, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted Human Being human in 2021 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors." "UDDanKvant præsentation og reception";"UDDanKvant";"2021-10-12";"14:00";"2021-10-12";"";"CSS 15.3.01 og 35.3.20, Det Samfundsvidenskabelige Fakultet, Københavns Universitet";"";"I forbindelse med etableringen af den nye enhed UDDanKvant afholdes en præsentation og reception tirsdag d. 12. oktober 2021 kl. 14-16. Tilmelding Tilmeldingsformularen er lukket, men nåede du ikke at tilmelde dig, er du velkommen til at skrive på jmh@econ.ku.dk Ønsker du at melde afbud, bedes du kontakte Joanna Hagstrøm på jmh@econ.ku.dk Program Kl. 14:00 Præsentation i CSS 15.3.01 Velkomst v. Mikkel Vedby, Dekan, SAMF, KU Velkomst v. Lars Videbæk, kontorchef, BUVM Præsentationen af UDDanKvant og kernemedlemmer, forskningsleder Mette Ejrnæs, Økonomisk Institut, KU Præsentation af forskningsprojekt om allokering af elever, Andreas Bjerre-Nielsen, kernemedlem af forskningsenheden UDDanKvant, Økonomisk Institut, KU Kl. 15:00 Reception i CSS 35.3.20 (Faculty Lounge) " "Paolo Gorgi, Vrije Universiteit Amsterdam";"FRU (Finance Research Unit)";"2021-10-11";"15:30";"2021-10-11";"16:45";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Conditional score residuals and diagnostic analysis of serial dependence in time series models"". Seminar arranged by Finance Research Unit (FRU)";"""Conditional score residuals and diagnostic analysis of serial dependence in time series models"" Abstract We introduce a general framework for diagnostic analysis of time series models that relies on the definition of conditional score residuals. Conditional score residuals encompass standard definitions of residuals that are typically used in time series models. ARMA residuals, squared residuals and Pearson residuals are special cases of conditional score residuals when the conditional distribution of the model belongs to the exponential family. Instead, conditional score residuals provide an alternative definition of residuals when the conditional distribution is not of the exponential type. The asymptotic properties of empirical autocorrelation functions of conditional score residuals are formally derived for a wide class of time series models. The results yield a unified theory for diagnostic analysis of observation-driven time series models. A key feature of conditional score residuals is that they account for the shape of the conditional distribution. This produces more reliable and powerful diagnostic tools for testing residual autocorrelation. Furthermore, they can also be employed in complex models where it may not be clear how to define residuals. We illustrate the practical relevance of the proposed framework by considering two examples that feature a heavy-tailed GARCH model and a dynamic copula model. A simulation study and an empirical application to the returns of the S&P500 index show how squared residuals are not reliable in testing residual autocorrelation in GARCH models with extreme observations. Instead, conditional score residuals are robust to outliers and they provide more powerful diagnostic tools. Co-authors: F. Blasques and S.J. Koopman Contact person: Stefan Voigt" "Andrea Weber, CEU ";"CoLab seminar arranged by the Department of Economics";"2021-10-11";"13:15";"2021-10-11";"14:15";"TBA";"CoLab seminar, arranged by the Department of Economics.";"""Internal Labor Markets: A Worker Flow Approach"" Abstract This paper develops a new method to study how workers' career and wage profiles are shaped by internal labor markets (ILM) and job hierarchies in firms. Our paper tackles the conceptual challenge of organizing jobs within firms into hierarchy levels by proposing a data-driven ranking method based on observed worker flows between occupations /within/ firms. We apply our method to linked employer-employee data from Norway that records fine-grained occupational codes and tracks contract changes within firms. Our findings confirm existing evidence that is primarily based on case studies for single firms. We expand on this by documenting substantial heterogeneity in the structure and hierarchy of ILMs across a broad range of large firms. Our findings on wage and promotion dynamics in ILMs are consistent with models of careers in organizations. Joint with Ingrid Huitfeldt, Andreas Kostol, Jan Nimczik Contact person Nikolaj Arpe Harmon" "Anna Stansbury, MIT";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-10-08";"14:15";"2021-10-08";"15:15";"Virtuel zoom seminar";"""Employer Concentration and Outside Options"". KU - CBS Virtual Macroeconomics Seminar";"""Employer Concentration and Outside Options"" Abstract We study the effect of within-occupation employer concentration and outside-occupation job options on wages in the US, identifying outside-occupation options using new occupational mobility data from 16 million resumes. Using shift-share instruments to identify plausibly exogenous local variation, we find that moving from the median to 95th percentile of employer concentration reduces wages by 2% on average and by 5% for workers in the lowest quartile of outward occupational mobility. We also find meaningful effects of changes in the value of outside-occupation job options on wages. Our findings imply that policymakers should take employer concentration seriously, but that measures of employer concentration – typically calculated for single occupations – should be considered alongside occupational mobility and the availability of outside-occupation options. (by Gregor Schubert, Anna Stansbury, Bledi Taska) Contact person: Daphné Jocelyne Skandalis" "SODAS Data Discussion 8 October 2021";"SODAS";"2021-10-08";"11:00";"2021-10-08";"12:00";"SODAS conference room 1.02.26";"With Clara Rosa Sandbye, Emilie Munch Gregersen, Sofie Læbo Astrupgaard og Thyge Ryom Enggaard.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefore invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Authors:Emilie Munch Gregersen & Sofie Læbo Astrupgaard, SODAS Title:Watching people meeting: Systematizing qualitative approaches to data intensive fieldwork at the Danish Peoples Meeting Abstract:Can we explicate, quantify, and systemize ethnographic data collection across researchers when conducting data intensive fieldwork? And how does a complementary collection of digital and biometric data lead to a deeper understanding of our field? We reflect upon these convoluted questions after having experimented with different data collection methods to study dynamics of attention and ‘eventness’ during The Danish People’s Meeting 2021. In anthropological research, traditional approaches to collecting data most often entail a dynamic process for the ethnographer to switch between or simultaneously apply different methods such as participant observation, interviews and writing field notes. In this presentation, we elaborate on our experience with collecting various types of data in a more formalized and machinic manner. In our approach to capture attention flows at the People’s Meeting, we used structured observational guides for quantifying qualitative observations as well as participant observation and interviews. All of which were written down and reflected upon in a self-developed platform for writing fieldnotes in-situ on our phones. The data output and experiences leave us wondering what is lost and gained when such different data sources and approaches are combined, and when ethnographers are constrained to a common format of data collection. Author:Thyge Ryom Enggaard Title:Embedded Understanding - Eliciting and Interpreting Differences & Similarities in Word Use Abstract:Is it possible to formalize and computationally identify the extent to which words are understood more of less differently between two texts? If so, can computational methods also enable us to interpret this difference (or similarity)? While we might (or might not) agree completely about what words refer to (say capitalism or vaccine), we might nonetheless still disagree about what that is. I attempt to measure such differences based on differences in how words co-occur between the two corpora, by training separate word embeddings, aligning them in a shared vector space and measuring the geometric distance between each word type. Current results show an undesirable negative correlation between word frequency and aligned distance – the more often a word occur, the lower is the aligned distance. While controlling for frequency might provide useful residuals, I hypothesize this correlation to be a result of non-isotropic embeddings (non-uniform distribution in direction). " "Joint CEPR Conferences: IMO & ENT";"Morten Bennedsen (mobe@econ.ku.dk)";"2021-10-07";"08:30";"2021-10-08";"17:00";"Online and at The Department of Economics, Østre Farimagsgade 5, building 26, seminar rooms 26.2.21 and 26.0.22";"Hybrid Conferences: Incentive, Management & Organization (IMO) and Entreprenuership (ENT)";"FAMBUSS is the local organizer of two CEPR Hybrid Conferences taking place virtually and on-site: Incentive, Management & Organization (IMO) and Entreprenuership (ENT) Please see the Program." "Kathryn Shaw: Do Managers Coach or Control? An Answer from the Star-Guardian Model";"Morten Bennedsen (mobe@econ.ku.dk)";"2021-10-06";"10:00";"2021-10-06";"12:00";"The Department of Economics, Østre Farimagsgade 5, building 26, seminar room 26.2.21";"Department Seminar with Professor Kathryn Shaw, Stanford Graduate School of Business";"Kathryn Shaw comes from the Stanford Graduate School of Business By combining a comprehensive personnel dataset with self-scraped job posting data from one of the “Big Five” Canadian banks, we theoretically propose and empirically find that employee job design and firm strategy are important in determining whether managers coach or control their workers. Inspired by Lazear (1998), we introduce a star-guardian model of job design, where stars are those jobs that chase upside gains and guardians are those that prevent downside losses. We extend this theory to show that job design and division strategy are closely related, with division strategy being established primarily from revenue and reputational considerations. We then theorize about differences in management between divisions based on strategy and job design differences across divisions. Summary tables and regressions with pay and managerial control support those theoretical predictions; Group Risk Management resembles guardian and has relatively stricter managerial control, while Wealth Management resembles star and has lower levels of managerial control. From there, we turn to job postings data and use machine learning to analyze explicitly stated desirable tasks for managers. The analysis reveals that managing guardians conveys greater levels of control, while managing stars suggests greater levels of coaching. Overall, our approach offers a nuanced view of what operational excellence means as it relates to internal firm dynamics. We also contribute to the view that machine learning is a viable tool in exploring personnel and managerial implications, as it can illuminate patterns from untraditional data sources." "Alina Bartscher, Danmarks Nationalbank";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-10-01";"13:15";"2021-10-01";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26-2-20/21), 1353 Kbh K";"""Household Debt and Inequality in the United States, 1950-2019"". KU - CBS Virtual Macroeconomics Seminar";"""Household Debt and Inequality in the United States, 1950-2019"" Abstract This paper studies the secular increase in U.S. household debt over the past seven decades. We exploit a novel household-level dataset covering the joint distribution of debt, income and wealth. The data show that rising housing debt of middle-class families has played a central role in the debt increase. We further find that income and debt growth comoved closely until the late 1970s, but have diverged strongly thereafter. Since the 1950s, the vast majority of U.S. household debt has always been housing debt. In the postwar era, housing debt mainly increased because more households took on debt. Yet since the 1980s, it has mainly increased because households took on larger amounts of debt. We show that home-equity-based borrowing can account for about half of the housing debt increase over the boom period ending with the 2008 crisis. This has led to pronounced changes in life-cycle debt-to-income profiles, with higher levels of debt at older ages. Yet since asset values grew as well, life-cycle wealth-to-income ratios have remained similar across cohorts. Our data also show that black households, with their lower homeownership rates and housing assets, have only played a very limited role in the extraction boom and overall debt growth since the 1950s. Contact person: Patrick Moran" "Econ Student Workshop Project Dignity ";"";"2021-09-28";"15:00";"2021-09-28";"18:00";"Room 26.2.21, Øster Farimagsgade 5, 1353 Copenhagen";"";"The Faculty of Social Sciences has initiated a cultural development program (Project Dignity), to ensure that we provide the best possible work and study environment. This means, for example, an environment free from sexual harassment.This program will be implemented across all five of our departments and the Faculty Administration throughout 2021. The workshop 28 September 2021 will give an introduction to Project Dignity. At the workshop participants will have the possibility to reflect and discuss the themes/issues that they find as the most relevant. The workshop will be a combination of group work and dialogue in order to create the possible solutions going forward. Workshops are facilitated by external consultants Kåre Bach Kristiansen and Tine Lund Bretlau from the company White Cloud. They give you an unique possibility to influence your study environment by discussing norms under transition and share ideas on actions to be taken to ensure an academic environment that is unbiased and inclusive. Only consultants and students are present at the workshop. Coffee, tea, water, fruit and cake will be served." "David Wiczer, Stony Brook";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-09-24";"13:15";"2021-09-24";"14:15";"Virtuel zoom seminar";"""Cyclical Earnings and Employment Transitions"". KU - CBS Virtual Macroeconomics Seminar";"""Cyclical Earnings and Employment Transitions"" Abstract Recessions increase unemployment risk and decrease flows across employers and occupations. This paper explores the cyclical differences in the earnings change distribution---focusing on the more volatile tails. Because earnings changes are larger when workers change jobs and even larger when switching occupations, cyclicality in the incidence of flows directly affects the tails of the distribution of earnings changes. However, the business cycle also affects earnings outcomes conditional on a job, employment status and/or occupation change. Because job and occupation switching is endogenous, we introduce a business cycle model with on-the-job search and occupational mobility, which allows us to structurally decompose the contribution of flows and returns. Cyclical fluctuations in exogenous flows, along with worsening returns, drive dynamics in the bottom tail of earnings growth while returns affect changes in the top tail. Joint with Carlos Carrillo Tudela and Ludo Visschers Contact person: Daphné Jocelyne Skandalis" "Robert Schmidt, University of Hagen";"Environmental Economics seminar arranged by the Department of Economics";"2021-09-24";"13:00";"2021-09-24";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Climate Coalition Formation In Continuous Time"". Environmental Economics seminar arranged by the Department of Economics.";"""Climate Coalition Formation In Continuous Time"" Abstract We introduce a novel climate coalition formation game in continuous time. The model makes the negotiation process during which countries join the coalition explicit. This yields a more realistic description of actual negotiations than previous models, and helps to resolve the so-called ""Paradox of International Agreements'' (Kolstad and Toman 2005), according to which climate cooperation cannot deliver substantial welfare gains when countries' participation decisions are voluntary. We argue that this paradox builds on an overly restrictive static framework where all participation decisions have to be taken simultaneously. In our model, countries are free to decide whether and when to join the coalition. This allows for the formation of large coalitions, including the grand coalition, in equilibrium. Using mixed strategies, our model also offers an explanation for delays in climate negotiations, as well as for their possible failure on the equilibrium path. Contact person: Frikk Nesje" "Petra Gram Cavalca forsvarer sin ph.d.-afhandling";"";"2021-09-20";"15:00";"";"";"Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, CSS 26.2.21";"Petra Gram Cavalca forsvarer sin ph.d.-afhandling: ""Essays in Economics of Child Protection"".";"Petra Gram Cavalca forsvarer sin ph.d.-afhandling:""Essays in Economics of Child Protection"" For at overvære forsvaret se dette link: https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Meltem Daysal, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Dan Anderberg, Royal Holloway University, UK Professor Anna Aiser, Brown University, US Abstract In this thesis, I study various aspects of child protection from an economic perspective. The thesis consists of three self-contained chapters. Each chapter casts light on a different aspect of how we, as a society, manage the responsibility of helping children who do not thrive in their own home, and to what extent we succeed in helping these children find their way in life. In chapter 1 (co-authored with Mette Ejrnæs and Mette Gørtz), we investigate how children's health, education, and crime changes in the time leading up to, and immediately following a placement in out-of-home care. Using detailed administrative register data, supplemented by unique survey data from a large Danish municipality, we investigate the development of the children's well-being in the time around their first out-of-home care experience. In chapter 2, I investigate a specific part of the child protection system; foster family care. Unfortunately, many child protection systems have a hard time recruiting enough foster families. At the same time, there is a wish to place a larger fraction of children in foster families rather than institutional care, which increases the demand for qualified foster parents. An important question is how to ensure a sufficient supply of qualified foster families in the future? In chapter 3 (co-authored with Mette Ejrnæs and Mette Gørtz), we study the role of budgetary constraints on child protection decisions. More specifically, we investigate whether municipalities that have spent a larger share of their budget, place fewer children in out-of-home care in comparison to municipalities that did not spend as large a share of their yearly budget. We also analyze the effect of a budget reform, which introduced economic sanctions for municipalities overrunning their budgets." "Matthew Rognlie, Northwestern University ";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-09-17";"13:45";"2021-09-17";"14:45";"Virtuel zoom seminar";"""Exchange Rates and Monetary Policy with Heterogeneous Agents: Sizing up the Real Income Channel"". KU - CBS Virtual Macroeconomics Seminar";"""Exchange Rates and Monetary Policy with Heterogeneous Agents: Sizing up the Real Income Channel"" Abstract Introducing heterogeneous households to a New Keynesian small open economy model amplifies the real income channel of exchange rates: the rise in import prices from a depreciation lowers households’ real incomes, and leads them to cut back on spending. When the sum of import and export elasticities is one, this channel is offset by a larger Keynesian multiplier, heterogeneity is irrelevant, and expenditure switching drives the output response. With plausibly lower short-term elasticities, however, the real income channel dominates, and depreciation can be contractionary for output. This weakens monetary transmission and creates a dilemma for policymakers facing capital outflows. Delayed import price pass-through weakens the real income channel, while heterogeneous consumption baskets can strengthen it. (Joint with Adrien Auclert, Matthew Rognlie, Martin Souchier and Ludwig Straub) Contact person: Jeppe Druedal" "SODAS Lecture: The Philosophy of the Predicted Human";"SODAS";"2021-09-17";"11:00";"2021-09-17";"12:30";"Goth. Aud. 1, Gothersgade 140";"""The Philosophy of the Predicted Human: The Implications of Machine Prediction for the Theory of Action, and Vice-Versa"" by Prof. John Levi Martin";"SODAS lecture ""The Philosophy of the Predicted Human: The Implications of Machine Prediction for the Theory of Action, and Vice-Versa"" We are delighted to host Prof. John Levi Martin for the first lecture this Fall, please join us for this event. AbstractBefore the parallelization revolution that spelled the death of “AI 1.0,” the Newell-Simon attempt to mimic human decision making via serial algorithms, it was inevitable that theories used to guide the development of computer software would leak back into our theories of human being. Given that the dominant family of theories of human action was entrenched in the first-approximation model of economic decision making, bound up with the core ideological self-understanding of capitalist societies (“choice”), this was an easy slippage to make. However, the rise of deep-learning algorithms is forcing researchers to grapple with the limits of what Haugeland called “Good Old Fashioned AI” (GOFAI), and to develop new understandings of how future machines will operate, ones that treat the machines less like formal flow-charts and more like organic brains. Sadly, our theory of human cognition has not budged, and we still attempt to apply to ourselves theories that we recognize are not even appropriate for current computer technology. I consider how the puzzles generated by predictive engines have the potential to radically change our understanding of human action, and the criteria by which we judge a potential explanation. Indeed, I will propose that the predictive success of future AI will force us to recognize the limited significance of prediction (as it is currently understood) in the assessment of theories. AboutJohn Levi Martin received a Ph.D. in Sociology from the University of California at Berkeley, where he was recently a professor, after being a professor at the University of Wisconsin at Madison and an assistant professor at Rutgers—The State University of New Jersey at New Brunswick. He is now a professor at the University of Chicago at Chicago. He has researched the formal properties of belief systems and social structures, and has written books on how to think through theory, methods, and statistics. This fall, the theme of the SODAS lecture series is ""Philosophy of the Predicted Human"". The Predicted HumanBeing human in 2021 implies being the target of a vast number of predictive infrastructures. In healthcare algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. Predicting and manipulating the future behavior of human beings is nothing new. Most of the quantitative social sciences focus on this topic in a general sense. There are entire subfields of statistics dedicated to understanding what can be predicted and what cannot. Yet the current situation is different. Computers’ ability to analyze text and images has been revolutionized by the availability of vast datasets and new machine learning techniques. We are currently experiencing a similar shift in terms of how algorithms can predict (and manipulate) human behavior. Human beings can be algorithmically shaped, we can be hacked. The ambition with this semester’s SODAS Lectures is to present and discuss different perspectives on human prediction. Inviting a list of distinguished scholars and speakers whose expertise ranges from traditional social sciences, over machine learning and data science to philosophy and STS, we hope to delve into some of the principles and dynamics which govern our ability to predict and control both individual and collective human behaviors. " "Tim Landvoigt, University of Pennsylvania";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-09-14";"";"";"";"Virtuel zoom seminar";"""Can Monetary Policy Create Fiscal Capacity?"". KU - CBS Virtual Macroeconomics Seminar";"""Can Monetary Policy Create Fiscal Capacity?"" Abstract Governments around the world have gone on a massive fiscal expansion in response to the Covid crisis, increasing government debt to levels not seen in 75 years. How will this debt be repaid? What role do conventional and unconventional monetary policy play? We investigate debt sustainability in a New Keynesian model with an intermediary sector, realistic fiscal and monetary policy, endogenous convenience yields, and substantial risk premia. When conventional monetary policy is constrained by the ZLB during an economic crisis, increased government spending and lower tax revenue lead to a large rise in government debt and raise the risk of future tax increases. We find that quantitative easing (QE), forward guidance, and an expansion in government discretionary spending all contribute to lowering debt/GDP ratio and reducing this fiscal risk. A transitory QE policy deployed during a crisis stimulates aggregate demand. Contact person: Patrick Moran" "Esther Chevrot-Bianco forsvarer sin ph.d.-afhandling";"";"2021-09-10";"15:00";"";"";"Department of Economics, University of Copenhagen, CSS 26.2.21";"Esther Chevrot-Bianco forsvarer sin ph.d.-afhandling: ""Empirical Essays in Institutional and Organizational Economics"".";"Esther Chevrot-Bianco forsvarer sin ph.d.-afhandling:""Empirical Essays in Institutional and Organizational Economics"" Kandidat Esther Chevrot-Bianco Titel: ""Empirical Essays in Institutional and Organizational Economics"". Tid og sted: 10. september 2021 kl. 15:00 i lokale CSS 26.2.21/ZOOM.Link til at logge på overværelse af forsvaret pr. Zoom følger her: https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Nikolaj Arpe Harmon, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Tore Ellington, Stockholm School of Economics Professor Rafaelle Sadun, Harvard Business School Abstract: This Ph.D. dissertation consists of three chapters that constitute independent research articles. Each chapter of the thesis focuses on the interplay between economic outcomes and different social phenomena, namely social networks (chapter 1) and social preferences (chapters 2 and 3). The first chapter highlights the role of social networks for board opportunities in the corporate sector. I find that the main beneficiaries of a board gender quota implemented in Denmark are women with existing family and spousal networks connected to firms' boards. The second chapter examines the role of social preferences in leadership. It shows that CEOs whose leadership style is grounded in strong personal values are more stakeholder-oriented and have a positive effect on firm performance. The third chapter contributes to the debate on the relationship between market participation and moral universalism: the extent to which people exhibit the same level of morality towards strangers and ingroup members. Using a field experiment in Greenland, it adds evidence that market participation correlates positively with moral universalism. The first chapter highlights the role of family and spousal networks for women's access to the boardroom. It asks how board gender quotas interact with network-based hiring practices and which women benefit from quotas. Using matched firm-directors datasets covering the population of Danish firms and blood- and marriage-based ties as relevant social connections, I show that the introduction of a board gender quota in Denmark in 2012 intensifies network-based hiring, resulting in differential benefits of the law for potential candidates depending on their family connections. First, the quota leads firms to double the share of connected directors among female appointments. Second, potential candidates with family connections to incumbent directors and CEOs become three times more likely to be appointed, whereas the probability to be appointed remains the same for highly qualified but unconnected potential candidates. Taken together, the evidence suggests that sticky norms of hiring based on networks create search frictions in the recruitment of female directors, even in the presence of board gender quotas. The second chapter (co-authored with Morten Bennedsen) examines the role of values in leadership. The strength of personal values and how these penetrate firm organization is measured through a survey of 1500 Danish CEOs. We construct a measure of value-based leadership and investigate the impact on firm outcomes and firm policies. First, we find that value-based leadership is more common in family firms and with female leadership, but not correlated to leaders' IQ nor to management practices. Second, value-based leadership is positively correlated to firm performance. We provide causal evidence through the analysis of CEO changes and CEO hospitalizations. Third, value-based leaders build more resilient organizations in a pandemic crisis and generate less conflicts, lower employee turnover and have a flatter organizational structure in normal times. Taken together, leaders' personal values and how they spread through organizations are important factors in explaining the value they bring to their firms. The third chapter (co-authored with Gustav Agneman) contributes to the debate on the relationship between market participation and moral universalism. We study parochial honesty, the tendency to behave more honestly toward members of the ingroup than toward strangers. To this end, we conduct honesty experiments (N=543) in 13 villages across Greenland, where small and geographically isolated communities provide for a natural definition of the ingroup. In order to study group differentiation, we introduce a negative externality in the experiment and randomly vary the identity of the interaction partner. The results reveal significant parochial honesty. Participants inflate payoffs by 11% on average when matched with an outsider, but refrain from misreporting when it negatively affects members of their local community. Furthermore, we find that only participants in the traditional economy exhibit strong parochial honesty; market integrated participants behave equally honest regardless of interaction partner." "Tore Ellingsen: Dutiful Behavior - A Model of Moral Sentiments";"Morten Bennedsen (mobe@econ.ku.dk)";"2021-09-10";"10:00";"2021-09-10";"12:00";"The Department of Economics, Østre Farimagsgade 5, building 26, seminar room 26.2.21";"A model of dutiful behavior, offering a parsimonious way to account for social context.";"Tore Ellingsen comes from Stockholm School of Economics Abstract: We develop a model of dutiful behavior. A central assumption, suggested Adam Smith, is that obligations differ from responsibilities. We formalize the distinction and operationalize it through the Krupka-Weber norm-elicitation procedure. Specifically, when an action is considered “socially inappropriate” we say that it violates an obligation; otherwise, it is more or less responsible. The model offers a parsimonious way to account for social context, and it provides explanations for a host of observations that contradict theories of other-regarding preferences that are based on empathy rather than duty." "Zeuthen Workshop 2021";"";"2021-09-07";"09:00";"2021-09-08";"16:00";"CSS 26.2.21/CSS 26.3.21";"Arranged by Niels Johannesen og Claus Thustrup Kreiner.";" Read more about Zeuthen Workshop " "Nikolaj Nielsen forsvarer sin ph.d.-afhandling";"";"2021-09-03";"15:00";"";"";"CSS 26.2.21";"Nikolaj Nielsen forsvarer sin ph.d.-afhandling: ""The Econometrics of Perturbed Utility and Demand Inversion""";"Nikolaj Nielsen forsvarer sin ph.d.-afhandling:""The Econometrics of Perturbed Utility and Demand Inversion"" Kandidat Nikolaj Nielsen Titel: ""The Econometrics of Perturbed Utility and Demand Inversion"". Tid og sted: 3. september 2021 kl. 15:00 i lokale CSS 26.2.21 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Bertel Schjerning, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor XiaoXia Shi, University of Wisconsin, USA Professor Professor Aureo de Paula, University College London, UK AbstractThis thesis consists of three self-contained chapters. In the first chapter, written together with Mogens Fosgerau and Dennis Kristensen, we study the perturbed utility model of discrete choice. We derive simple regularity conditions for the resulting demand function to be well-behaved and invertible, and we use these properties to develop a simple and efficient estimation procedure for such models. In the second chapter, written with Mogens Fosgerau, we develop a new perturbed utility model of demand for differentiated options. Options are similar according to a set of characteristics, and similar options may be close substitutes or complements. In the third chapter, I develop an estimation procedure for dynamic discrete choice models. This estimator obtains the same computational advantages as the Nested Pseudo Likelihood algorithm, but handles arbitrary distributions of the idiosyncratic shocks and nonlinear payoff functions." "Virtual EEA-ESEM Joint Congress 2021";"the European Economic Association, the Econometric Society & University of Copenhagen";"2021-08-23";"";"2021-08-27";"";"Virtual";"";" The conference consists of both the Annual Congress of the European Economic Association and the Econometric Society European Meeting, and it will take place at virtually due to the pandemic in the days 23-27 August 2021. More information about the conference. " "Raffaele Saggio, University of British Columbia ";"Department of Economics";"2021-06-30";"14:00";"2021-06-30";"15:00";"Virtuel zoom seminar";"""It Ain't Where You're from, It's Where You're at: Hiring Origins, Firm Heterogeneity, and Wages"". Seminar arranged by the Department of Economics";"""It Ain't Where You're from, It's Where You're at: Hiring Origins, Firm Heterogeneity, and Wages"" Abstract We develop a theoretically grounded extension of the two-way fixed effects model of Abowd et al. (1999) that allows firms to differ both in the wages they offer new hires and the wages required to poach their employees. Expected hiring wages are modeled as the sum of a worker fixed effect, a fixed effect for the “destination” firm hiring the worker, and a fixed effect for the “origin” firm, or labor market state, from which the worker was hired. This specification is shown to nest the reduced form for hiring wages delivered by semi-parametric formulations of the sequential auction model of Postel-Vinay and Robin (2002b) and its generalization in Bagger et al. (2014). Using Italian social security records that distinguish job quits from firings and layoffs, we find that origin effects explain only 0.7% of the variance of hiring wages among job movers, while destination effects explain more than 23% of the variance. Across firms, destination effects are more than 13 times as variable as origin effects. Interpreted through the lens of Bagger et al. (2014)’s model, this finding requires that workers possess implausibly strong bargaining strength. Studying a cohort of workers entering the Italian labor market in 2005, we find that differences in origin effects yield essentially no contribution to the evolution of the gender gap in hiring wages, while differences in destination effects explain the majority of the gap at the time of labor market entry. These results suggest that where a worker is hired from is relatively inconsequential for his or her wages in comparison to where he or she is currently employed. Read full paper: ""It Ain't Where You're from, It's Where You're at: Hiring Origins, Firm Heterogeneity, and Wages"" Read more about Raffaele Saggio Contact person: Casper Worm Hansen" "Simon Thinggaard Hetland forsvarer sin ph.d.-afhandling";"";"2021-06-29";"15:30";"";"";"CSS 26.2.21/Zoom";"Simon Thinggaard Hetland forsvarer sin ph.d.-afhandling:""Dynamic Conditional Eigenvalues"".";"Simon Thinggaard Hetland forsvarer sin ph.d.-afhandling:""Dynamic Conditional Eigenvalues"" Kandidat Simon Thinggaard Hetland Titel: ""Dynamic Conditional Eigenvalues"". Tid og sted: 29. juni 2021 kl. 15:30 i lokale CSS 26.2.21/ZOOM.Link til at logge på overværelse af forsvaret pr. Zoom følger her: https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Mette Ejrnæs, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Nikolaus Hautsch, Universität Wien, Østrig Professor Giuseppe Cavaliere, ALMA MATER STUDIORUM - Università di Bologna, ItalienAbstractIn this thesis, we study a class of multivariate generalized autoregressive heteroscedasticity (GARCH) models, denoted the Dynamic Conditional Eigenvalue GARCH model. Multivariate GARCH models are useful for estimating and filtering time varying (co-)variances, which are used e.g. in empirical asset pricing, Markovitz-type portfolio optimization and value-at-risk estimation. GARCH models have long been a staple in empirical finance and financial econometrics. This thesis contains three self-contained chapters on the Dynamic Conditional Eigenvalue GARCH, covering large-sample properties and bootstrap-based inference.In the first chapter, The Dynamic Conditional Eigenvalue GARCH Model, we introduce the Dynamic Conditional Eigenvalue GARCH class of models, where the eigenvalues of the conditional covariance matrix are time varying. We provide new results on asymptotic theory for the Gaussian quasi-maximum likelihood estimator, and for testing of reduced rank of the (G)ARCH loading matrices of the time-varying eigenvalues. The theory is applied to US data, where we find that the eigenvalue structure can be reduced similar to testing for the number in factors in volatility models. This chapter is jointly written with Anders Rahbek and Rasmus Søndergaard Pedersen.The second chapter, Spectral Targeting Estimation of Dynamic Conditional Eigenvalue GARCH Models, investigates a two-step estimator of the Dynamic Conditional Eigenvalue GARCH model, combining (eigenvalue and -vector) targeting estimation with stepwise (univariate) estimation. This estimator is denoted the ``spectral targeting estimator''. We find that the estimator is consistent under finite second order moments, while asymptotic normality holds under finite fourth order moments. The estimator is especially well suited for modeling larger portfolios: we compare the empirical performance of the spectral targeting estimator to that of the quasi-maximum likelihood estimator for five portfolios of 25 assets. The spectral targeting estimator dominates in terms of computational complexity, being up to 57 times faster in estimation, while both estimators produce similar out-of-sample forecasts, indicating that the spectral targeting estimator is well suited for high-dimensional empirical applications.In the third and final chapter, Bootstrap-Based Inference and Testing in Multivariate Dynamic Conditional Eigenvalue GARCH Models, we study fixed-design bootstrap for quasi-maximum likelihood estimation of multivariate GARCH processes. We show, under fairly mild conditions, that the bootstrap Wald test statistic is consistent, conditional on the original data. The theoretically investigated fixed-design bootstrap is contrasted to a recursive bootstrap, and the asymptotic test statistic. Through Monte Carlo simulations, we find evidence that the fixed-design bootstrap is superior to the recursive bootstrap and the asymptotic test in small samples. In larger samples, both bootstrap designs and the asymptotic test share properties, as expected from the asymptotic theory. An empirical application illustrates the empirical merits of the bootstrap in multivariate GARCH models. The appealing theoretical properties, along with the excellent finite sample properties, suggest that the fixed-design bootstrap is an important tool for small sample inference in multivariate GARCH models. " "SODAS Panel 6 ";"SODAS";"2021-06-25";"11:00";"2021-06-25";"12:30";"Zoom";"Topic: Wrap Up and Where to Go From Here";"SODAS Panel Series on Fairness in Science – Panel 6 Topic: Wrap Up and Where to Go From Here Panel description: After shining a light on issues in fairness in (social data) science from a host of different angles, it is time to review where we started and what insights we have gained throughout the panel series. In this panel, we will try to draw out some key lessons we can take from the discussions as well as reflect on the perspectives and issues we might have missed so far. Panelists• Samantha Breslin• Robert Böhm• Morten Axel Pedersen June 25, 2021, from 11:00 to 12:30 This panel will take place in Zoomhttps://ucph-ku.zoom.us/j/68279630106?pwd=OFpKajZFUjU2UVFGN1Y4anZMK0tjQT09 Meeting ID: 682 7963 0106Passcode: 878946 If you have any questions, please contact Katrine Herold at katrine.herold@sodas.ku.dk" "SODAS Data Discussion 18 June 2021";"SODAS";"2021-06-18";"11:00";"2021-06-18";"12:00";"Zoom";"SODAS Data Discussion with Emil Chrisander and Snorre Frid-Nielsen.";"Copenhagen Center for Social Data Science (SODAS) aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. AuthorSnorre Frid-Nielsen, Postdoc, SODAS TitleIs Political Science Becoming More Pluralistic? A Bibliometric History AbstractThis paper examines the question of pluralism in political science historically and bibliometrically. While existing accounts have tended to focus on specific sub-disciplines or applied descriptive approaches, this paper utilizes large-scale bibliometric data and network analytical methods to systematically map the development of the entire discipline. Where existing bibliometric approaches tend to be limited to shorter time spans, this paper takes a wider historical perspective. Based on a novel data set comprising 347,736 research articles with 5,360,276 citations covering the time span of 1956-2019, the article studies the pluralism (or lack thereof) in Political Science research on three main dimensions. First, it examines the pluralism (or lack thereof) in the intellectual ancestors of political science using Reference Year Publication Spectroscopy which examines the reference frequency of seminal works. Second, it visualizes the rise and fall of research agendas, subfields, interdisciplinary engagements, and methodologies over time through a combination of dynamic network analysis and unsupervised machine learning of journal and author co-citation patterns. Third, it examines the pluralism of political science research in terms of author characteristics in political science journals, notably gender and nationality. AuthorEmil Chrisander TitleWhy Do Students Not Fully Reveal Their Preferences In Admissions Where Truth-Telling Is Weakly Optimal? AbstractRecent literature documents non-truthful preference reporting in strategy-proof mechanisms. In this paper, we analyze who report non-truthfully and why they report non-truthfully. We combine detailed registry data on applicants to higher education with survey answers about the admission process and personality. We provide clear evidence of the theory that students skip prominent programs for which they perceive admission to be unlikely or impossible. In addition, we demonstrate that such non-truthful reporting is driven by lack of feasible choice options, low self-confidence, pessimistic admission beliefs, and difficulties comprehending the admission process. Surprisingly, we find no evidence that age, gender, cognitive abilities or parents' SES affect non-truthful reporting. Finally, we show that non-truthful reporting has limited welfare implications because few of the non-truthful applicants would improve their matching outcome by reporting truthfully. Our results have implications for the modelling of preferences, information acquisition, and subjective admission beliefs in strategy-proof mechanisms. The SODAS Data Discussion will take place in Zoom from 11.00 am to 12.00 noon. Time: Jun 18, 2021 11:00 AM Copenhagen Join Zoom Meetinghttps://ucph-ku.zoom.us/j/64589835036?pwd=Rmk3Y1FKaE1QMlVtWDRPQW9XNFdpQT09 Meeting ID: 645 8983 5036Passcode: 794482 " "Martin Benedikt Busch forsvarer sin ph.d.-afhandling";"";"2021-06-17";"14:00";"";"";"CSS 26.2.21/Zoom";"Martin Benedikt Busch forsvarer sin ph.d.-afhandling: ""The Formation and Persistence of Perceptions Statistical Inference and Social Networks"" ";"Martin Benedikt Busch forsvarer sin ph.d.-afhandling:""The Formation and Persistence of Perceptions Statistical Inference and Social Networks"" Kandidat Martin Benedikt Bush Titel: ""The Formation and Persistence of Perceptions Statistical Inference and Social Networks"" Tid og sted: 17. juni 2021 kl. 14:00 i lokale CSS 26.2.21/ZOOM.Link til at logge på overværelse af forsvaret pr. Zoom følger her: https://ucph-ku.zoom.us/j/63467951266 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Nick Vikander, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Antonio Cabrales, Universidad Carlos III de Madrid, Spanien Professor Friederike Mengel, Essex Universitet, UK AbstractOur decisions often depend on our subjective perceptions of the surrounding reality and we base our perceptions on the information we have available to us. Consider for instance our assessments of a variety of societal challenges we face, from immigration to inequality. Our perceptions of the severity of these problems depend on the information we extract from the networks around us, consisting of our friends, colleagues, and neighbors, among others. Importantly, our networks might not be representative of the broader population, they might be too small to make valid inferences, or we may not have the ability to process the information efficiently. This results in a gap between subjective perceptions and the objective reality, leading to unintended behavior affecting the individual and the society. To understand the implications of the gap between perception and reality, we need a better understanding of how people form perceptions and the underlying mechanisms creating this gap. We need to investigate the persistence of this gap and consider its long-term consequences. Finally, we may want to test if perceptions are malleable and design interventions to change behavior. This thesis comprises three self-contained articles that provide new insights on the formation of perceptions and their persistence using economic theory and experiments. The common theme in Chapter 1 and 2 is that agents in both models act as statisticians. Agents perform statistical inference given their information about others, the amount of information available, and heterogeneity in how they use information, to estimate an unknown but payoff-relevant state. The modeling approach allows us to show and disentangle how sample size and heterogeneity in agents’ use of information affects perception and behavior. In both chapters, the sample of data is not representative of the payoff-relevant state as sample selection (Chapter 1) or networks (Chapter 2) bias the data generating process. In Chapter 3, we illustrate how to manipulate perceptions and evaluate its long-term impact on behavior and welfare of subjects embedded in networks. In our laboratory experiment, we show that a simple nudge has long-term payoff consequences, and persistently changes the structure of relationships subjects build with each other over time. " "Justin Bloesch, Harvard University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-06-11";"14:15";"2021-06-11";"15:15";"Virtuel zoom seminar";"""Which workers earn more at productive firms? The Role of complementarities and Position Specificity"". KU - CBS Virtual Macroeconomics Seminar";"""Which workers earn more at productive firms? The Role of complementarities and Position Specificity"" Abstract This paper develops a theory of production complementarities and position specific skills to explain heterogeneous firm productivity-wage premia and wage dispersion across occupations. Workers are ""specific"" to a position if (i) positions are differentiated in their task content (ii) position outputs are complementary in production, and (iii) it is time consuming for the firm to replace a specific worker, incentivizing productive firms to pay higher wages in a model with turnover and imperfect contracts. Productivity wage premia arise due to complementarities rather than extensive margin labor supply elasticities, implying that steady-state premia depend on firm average labor productivity but not firm size. In Danish data, we estimate the effect of worker deaths on firm value added and profit by occupation groups, and we estimate wage premia via passthrough of productivity shocks, which support the main predictions of the model. We discuss implications for the effect of superstar firms on wage inequality, the college wage premium, and the gender wage gap. Contact person: Birthe Larsen" "DISTRACT seminar with Olivier Driessens";"DISTRACT - SODAS";"2021-06-11";"11:00";"2021-06-11";"12:00";"Zoom";"""The in/visibility – in/attention complex: from collapse to intersection""";"Title: The in/visibility – in/attention complex: from collapse to intersection Abstract:Although visibility and attention have become central categories in the social sciences, their interrelationship is unclear and requires further theoretical consideration. Some scholars discuss visibility in ways as if attention is naturally following—or not in the case of invisibility—, while others simply collapse both visibility and attention into either of those single categories. This leads to not only analytical confusion, but also a disregard of the different structures, agents and mechanisms that produce in/visibility and in/attention. Further, it produces sometimes rather simplistic linear thinking about the potential consequences of either visibility or attention, such as (mis)recognition and power. In response, I argue that visibility and attention are ontologically distinct categories that should be studied in tandem empirically. To improve the study of their varied interrelationships, I present the in/visibility-in/attention model. This model helps to map the different empirical manifestations at the nexus of in/visibility and in/attention and to take the dynamics of both in/visibility and in/attention equally seriously when studying a range of phenomena including privacy, distraction, provocation, celebrity or cancel culture. Olivier Driessens is Assistant Professor at the Department of Communication, University of Copenhagen. The seminar is open to the public via the following Zoom link: https://ucph-ku.zoom.us/j/61844378789 " "Mette Rasmussen forsvarer sin ph.d.-afhandling";"";"2021-06-04";"16:00";"";"";"CSS 26.2.21/Zoom";"Mette Rasmussen forsvarer sin ph.d.-afhandling: ""Empirical Essays on the Effectiveness of Active Labor Market Policies:Caseworkers, Vocational Training & Statistical Profiling""";"Mette Rasmussen forsvarer sin ph.d.-afhandling:""Empirical Essays on the Effectiveness of Active Labor Market Policies: Caseworkers, Vocational Training & Statistical Profiling"" Kandidat Mette Rasmussen Titel: ""Empirical Essays on the Effectiveness of Active Labor Market Policies: Caseworkers, Vocational Training & Statistical Profiling"" Tid og sted: 4. juni 2021 kl. 16:00 i lokale CSS 26.2.21.Link til at logge på overværelse af forsvaret pr. Zoom følger her: https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professor Søren Leth-Petersen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Sally Sadoff, Rady School of Management, UC San Diego, USA Professor Bas van der Klaauw, VU University Amsterdam, Holland Abstract This PhD dissertation consists of three self-contained chapters that all study how different types of active labor market policies can help unemployed jobseekers transition out of unemployment. All three chapters rely on novel micro data provided by the Danish Agency for Labor Market and Recruitment. The first chapter investigates the importance of caseworker quality for jobseeker transitions out of unemployment. I combine a novel data set on meetings between jobseekers and caseworkers with rich Danish administrative data. To identify the individual impacts of caseworkers, I exploit that many jobcenters assign caseworkers to jobseekers based on their birthday. I verify that this effectively corresponds to a quasi-random assignment mechanism. The chapter offers three sets of results. First, I find that variation in caseworker quality is substantial and can explain about 6% of the heterogeneity in unemployment spells within a jobcenter and year. Assignment to a caseworker, who is one standard deviation above the mean, reduces the unemployment spell by about one week. Second, I find no smoking gun suggesting that this is at the expense of subsequent labor market performance. Rather, the caseworkers that reduce unemployment spell length place the jobseekers in jobs that are of similar quality, in terms of wages, hours and stability. As a result, these jobseekers have on average accumulated an additional 7,500 DKK (1,200 USD) and 35 working hours after two years. Third, I show that the variation in caseworker quality not necessarily is driven by unobserved personality traits only. Namely, I find that the high quality caseworkers tend to be more 'pro-active': They meet earlier and more frequently with the jobseekers, assign them earlier to training and tend to increase their use of network and unsolicited job search. Overall, this paper suggests that it would be Pareto improving to teach all caseworkers these pro-active strategies. The second chapter (co-authored with Anders Humlum) investigates whether vocational training of jobseekers can help them re-attach to the labor market. To investigate this, we combine the novel data on caseworkers from the first chapter with new data on caseworker assignments to training. Specifically, we estimate the effectiveness of vocational training using a caseworker leniency instrument. This instrument exploits that i) jobseekers are quasi-randomly assigned to caseworkers, and that ii) caseworkers differ in their propensities to assign jobseekers to vocational training. Using our caseworker leniency instrument, we cannot reject that training courses on average have zero impacts on labor market outcomes after one year. In contrast, OLS regressions show strong negative correlations between training and employment, indicating that it is jobseekers with adverse job prospects who select into training. To investigate whether vocational training is more beneficial for workers who are exposed to rapid structural change, we zoom in on jobseekers whose previous jobs were in manufacturing. Although the estimates become more noisy, we find economically significant long-run benefits to vocational training for former manufacturing workers. This suggests that there is large heterogeneity in the benefits of training, which potentially could be reaped by better targeting of courses to workers. The third chapter (co-authored with Nikolaj Harmon and Robert Mahlstedt) evaluates the effect of using statistical profiling tools to inform workers about their individual risk of long-term unemployment. In Denmark, a Machine Learning algorithm informs both newly unemployed jobseekers and their caseworkers of whether they belong to a group with a high risk of remaining unemployed for more than six months. Leveraging age discontinuities in the Machine Learning algorithm, we use a regression discontinuity design to estimate the effect of being reported as being in high risk. We estimate that jobseekers marginally flagged as high-risk are between 5-14% less likely to be unemployed after 6 months. After 12 months however this difference has disappeared. Unfortunately, standard validity checks suggest that the identifying assumptions of our regression discontinuity design may not hold. While our results thus points to statistical prediction tools as a promising way to speed up unemployment exit, more evaluation is necessary to reach any firm conclusion." "Philipp Kircher, Cornell University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-06-04";"14:15";"2021-06-04";"15:15";"Virtuel zoom seminar";"""TBA"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""TBA"" Contact person: Antoine Bertheau" "CANCELLED - DISTRACT seminar with Alexander Taylor";"DISTRACT - SODAS";"2021-06-04";"11:00";"2021-06-04";"12:00";"Zoom";"Are digital devices turning us into ‘data preppers’?";"CANCELLED Title:Are digital devices turning us into ‘data preppers’? Abstract:Anticipating the failure of digital devices has become part of the fabric of everyday life in the digital world. With their fragile components and ever-shortening lifespans, digital technologies increasingly require their users to take preparatory action if they want to avoid losing their precious photos, files and other data when device failure should inevitably arise. Programs like Apple’s ‘Time Machine’ or Windows’ ‘Backup and Restore’ enable users to quickly and easily back-up their computers onto external hard drives, while cloud storage services back-up our devices automatically when a Wi-Fi connection is available. In this talk I will approach practices of ‘backing-up’ through the lens of preparedness, asking how a focus on ‘data prepping’ might extend current explorations of human-technology and human-data relations. Alexander Taylor is lecturer at the Department of School of Media and Film, University of Winchester, UK." "Pascaul Restrepo, Boston University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-05-28";"14:15";"2021-05-28";"15:15";"Virtuel zoom seminar";"""Tasks, Automation, and the Rise in US Wage Inequality "". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Tasks, Automation, and the Rise in US Wage Inequality"" Abstract We document that a large portion (between 50% and 70%) of changes in the US wage structure over the last four decades are accounted for by the relative wage declines of worker groups specialized in routine tasks in industries experiencing rapid automation. We develop a conceptual framework where tasks across a number of industries are allocated to different types of labor and capital. Automation technologies expand the set of tasks performed by capital, displacing certain worker groups from employment opportunities for which they have a comparative advantage. This framework yields a simple equation linking wage changes of a demographic group to the task displacement it experiences. We report robust evidence in favor of this relationship and show that regression models incorporating task displacement explain much of the changes in educational and gender differentials between 1980 and 2016. We show that our task displacement variable captures the effects of automation technologies (and to a lesser degree offshoring) rather than those of rising market power, markups or deunionization, which themselves do not appear to play a major role in US wage inequality. We also propose a methodology for evaluating the full general equilibrium effects of task displacement (which include ripple effects as tasks are reallocated across different groups, changes in industry composition, and output expansion). Our quantitative evaluation based on this methodology explains how major changes in wage inequality can go hand-in-hand with modest productivity gains. Joint with th D. Acemoglu Contact person: Morten Olsen" "DISTRACT seminar with Odysseus Stone";"DISTRACT - SODAS";"2021-05-28";"11:00";"2021-05-28";"12:00";"Zoom";"What we care about when we care about attention: Insights from phenomenology and recent philosophy of attention";"Title:What we care about when we care about attention: Insights from phenomenology and recent philosophy of attention Abstract:Attention is something we care about. Two areas of public life where this fact about attention is currently particularly salient are a) the ongoing debates about the attention economy, and b) the explosion of interest in (and backlash against) mindfulness meditation. These debates are replete various normative claims about attention, claims that speak to the important role that attention plays in our lives. Such debates have, however, for the most part been carried out in relative isolation from philosophical reflection on attention. I show how reflections on the nature of attention from phenomenology (e.g., Gurwitsch, Merleau-Ponty), and from recent analytic philosophy (e.g., Watzl) help clarify the issues at stake. These authors share in rejecting various popular ways of thinking about attention—as information-pruning, as spotlight, as limited resource, etc.—and instead think of attention in terms of structuring psychological life. I spell out a few implications for the debates about mindfulness and the attention economy. Odysseus Stone is a PhD fellow with the Center for Subjectivity research (CFS) at the University of Copenhagen. The talk is open for anyone interested via zoom: https://ucph-ku.zoom.us/j/61844378789 " "Thomas le Barbanchon, Bocconi University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-05-21";"14:15";"2021-05-21";"15:15";"Virtuel zoom seminar";"""Job search behaviour during the COVID-19 crisis : New evidence from Sweden "". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Job search behaviour during the COVID-19 crisis : New evidence from Sweden "" Abstract This paper measures the job-search responses to the COVID-19 pandemic using real-time data on vacancy postings and job ad views on Sweden’s largest online job board. First, new vacancy postings drop by 40%, similar to the US. Second, job seekers respond by searching less intensively, to the extent that effective labour market tightness increases during the first three months after the COVID outbreak. After the initial shock, labor market tightness increases again. Third, job seekers redirect their search towards less severely hit occupations, beyond what changes in vacancies would predict. We then build a search-and-matching model with endogenous search intensity to explore the mechanisms behind this labor market shift. We find that the negative productivity effect is temporary, while negative shifts on labor supply are more persistent. Joint with Lena Hensvik (Uppsala) Roland Rathelot (Warwick) Contact person: Daphne Skandalis" "SODAS Panel Series on Publication incentives and academic performance indicators.";"SODAS";"2021-05-21";"11:00";"2021-05-21";"12:30";"Zoom";"Panel 5 on Publication incentives and academic performance indicators.";"SODAS Panel Series on Publication incentives and academic performance indicators. Panel 5 Topic: Publication incentives and academic performance indicators. Panelists: Roberta Sinatra, Associate Professor, Computer Science, ITU Copenhagen Mathias W. Nielsen, Associate Professor, Department of Sociology, University of Copenhagen Leon Derczynski, Associate Professor, Computer Science, ITU Copenhagen Join Zoom Meetinghttps://ucph-ku.zoom.us/j/64742798972?pwd=SWdSZURYb3dzbHZiaU9jdFZQSUxqQT09 Meeting ID: 647 4279 8972Passcode: 801132 " "Joseba Martinez, London Business School";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-05-14";"14:15";"2021-05-14";"15:15";"Virtuel zoom seminar";"""Automation Potential and Diffusion"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Automation Potential and Diffusion"" Abstract We introduce a novel methodology to measure the invention and diffusion of labor-replacing technology in the US economy. First, we measure the relevance of US patents introduced from 1900-2020 to work tasks performed by human workers using a natural language processing algorithm. After controlling for the confounding effects of the evolution of language, we obtain a measure that we call the automation potential of newly introduced technology: the potential for that technology to eventually replace human workers in the performance of tasks. In a local projections framework, we project long-horizon changes in task demand onto automation potential and find large negative effects, suggesting i) that our measure captures the development of automation technology, and ii) that such technology diffuses slowly into the economy. Contact person: Katja Mann" "Andreas Mueller, Austin University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-05-07";"14:15";"2021-05-07";"15:15";"Virtuel zoom seminar";"""Job Search Behavior Among the Employed and Non‐Employed"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Job Search Behavior Among the Employed and Non‐Employed"" Abstract We develop a unique survey that focuses on the job search behavior of individuals regard- less of their labor force status and field it annually starting in 2013. We use our survey to study the relationship between search effort and outcomes for the employed and non-employed. Three important facts stand out: (1) on-the-job search is pervasive, and is more intense at the lower rungs of the job ladder; (2) the employed are about four times more efficient than the unemployed in job search; and (3) the employed receive better job offers than the unemployed. We set up an on-the-job search model with endogenous search effort, calibrate it to fit our new facts, and find that the search effort of the employed is highly elastic. We show that search effort substantially amplifies labor market responses to job separation and matching efficiency shocks over the business cycle. (Joint with J Faberman, A Sahin and G Topa, R&R Econometrica) Contact person: Daphne Skandalis" "SODAS Panel Series on Funding, Access, Regulations ";"SODAS";"2021-05-07";"12:00";"2021-05-07";"13:40";"Zoom";"Panel 4: Funding, Access, Regulations – What shapes what research gets done?";"Panel 4 Topic: Funding, Access, Regulations – What shapes what research gets done? Panel description: The promise of novel data sources and methods is what drives the emergence of the field of Social Data Science and many current innovations in industry and technology. But in the face of the potential inherent in these data and methods, established challenges such as funding limitations persist and new hurdles for research such as proprietary data emerge. This panel brings together experts with experience in private research, public funding, and private-public partnerships and will focus on the factors shaping what research gets done and can get done in the digital age including funding, regulation, and data access. Panelists Luca Aiello (IT University of Copenhagen) David Dreyer Lassen (Copenhagen University Simon Hegelich (TU Munich) 7 May 2021, 12:00 -13:40 This panel will take place in Zoom. Join Zoom Meetinghttps://ucph-ku.zoom.us/j/66749318945?pwd=UXVSOTQvcHpNcGwvckhYV0l2YVBBQT09 Meeting ID: 667 4931 8945Passcode: 433258 If you have any questions, please contact Katrine Herold at katrine.herold@sodas.ku.dk" "Talk by Professor Kenneth Benoit, London School of Economics and Political Science";"SODAS";"2021-05-07";"11:00";"2021-05-07";"12:00";"Zoom";"Predicting Left-Right Positions from Hand-Coded Content Analysis Using Machine LearningProf. Kenneth Benoit, LSE";"Kenneth Benoit, Professor of Computational Social Science in the Department of Methodology at the London School of Economics and Political Science. Titel: PREDICTING LEFT-RIGHT POSITIONS FROM HAND-CODED CONTENT ANALYSIS USING MACHINE LEARNING Abstract: The Manifesto Project’s widely used left-right index of party policy positions (RILE), built from human-coded sentences from party manifestos, can be predicted using machine learning. We demonstrate this using some simple classifiers to show that using these conservative approaches as a baseline, performance is already as good as human coders. It works in multiple languages. Using transfer learning, we also show how a model trained on coded manifesto sentences can be used on new texts to predict left-right positions, and validate these with independent survey-based evidence. About:Kenneth Benoit's current research focuses on computational, quantitative methods for processing large amounts of textual data, mainly political texts and social media. Current interest span from the analysis of big data, including social media, and methods of text mining. His substantive research in political science focuses on comparative party competition, the European Parliament, electoral systems, and the effects of campaign spending. His other methodological interests include general statistical methods for the social sciences, especially those relating to measurement. Recent data large-scale measurement projects in which he has been involved include estimating policy positions of political parties through crowd-sourced data, expert surveys, manifesto coding, and text analysis. Join via Zoom:https://ucph-ku.zoom.us/j/68375572787?pwd=ak1ueE5tRFA1cStqaHRidFFQN2ROQT09 Meeting ID: 683 7557 2787Passcode: 999999" "Esteban Garcia Miralles forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2021-04-28";"15:00";"";"";"ZOOM";"Esteban Garcia Miralles forsvarer sin ph.d.-afhandling: ""Essays on Retirement, Savings, Taxation, and Skill Formation"".";"Esteban Garcia Miralles forsvarer sin ph.d.-afhandling:""Essays on Retirement, Savings, Taxation, and Skill Formation"" Kandidat Esteban Garcia Miralles Titel:""Essays on Retirement, Savings, Taxation, and Skill Formation"" Tid og sted: 28. april 2021 kl. 15:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Meltem Daysal, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Rafael Lalive, University of Lausanne Associate Professor Maria Fitzpatrick, Cornell University Abstract: The Ph.D. dissertation consists of four self-contained chapters. The first two chapters study how the design of public pension systems affect individuals’ behavior. The first chapter studies how pension eligibility ages impact the retirement behavior of couples. The second chapter explores how public pension provision affects private savings. The third chapter studies how optimal inheritance taxation depends on the social welfare function assumed and on the underlying individual heterogeneity. The fourth chapter explores human capital formation by estimating the causal effect of parental shocks on their children’s non-cognitive skills. Chapter 1: Joint Retirement of Couples: Evidence from Discontinuities in Denmark (with Jonathan M. Leganza). We study joint retirement behavior and document underlying mechanisms. Exploiting administrative data and the discontinuous increase in retirement when individuals reach pension eligibility age, we estimate sizable spillover effects to their spouses. We show that age differences within couples are crucial determinants of joint retirement, which is primarily driven by older spouses working longer. Controlling for these age differences reveals that female spouses respond more, even controlling for relative earnings. Relative earnings play a role consistent with collective models of household behavior. A complementary analysis shows that a reform increasing eligibility ages induces similar spillovers, suggesting no significant adjustment costs. Chapter 2: Public Pensions and Private Savings (with Jonathan M. Leganza). How does the provision of public pension benefits impact savings? We answer this question in the context of a Danish reform that increased social security eligibility ages. Using administrative data and a regression discontinuity design, we identify the causal effects of the policy. We find a lack of anticipatory savings responses after the announcement of the reform, whereas we find large increases in savings when delayed benefit eligibility induces extended employment. Individuals continue to work and continue to save in the same type of retirement accounts and at the same rate, highlighting how employer default contribution policies mediate responses to national reforms. Chapter 3: The Crucial Role of Social Welfare Criteria and Individual Heterogeneity for Optimal Inheritance Taxation. This paper extends the calibrations of Piketty and Saez (2013) to unveil the importance of the assumed social welfare criteria and its interplay with individual heterogeneity on optimal inheritance taxation. I calibrate the full social optimal tax rate and find that it is highly sensitive to the assumed social welfare criteria. The optimal tax rate ranges from negative (under a utilitarian criterion) to positive and large (even assuming joy of giving motives). I also calibrate the optimal tax rate by percentile of the distribution of bequest received, as in Piketty and Saez, but accounting for heterogeneity in wealth and labor income. This leads to significant variation in the optimal tax rate among zero-bequest receivers, contrary to their finding of a constant tax rate. Chapter 4: Are Children's Socio-Emotional Skills Shaped by Parental Health Shocks? (with Miriam Gensowski). Child skills are shaped by parental investments. When parents experience a health shock, their investments and therefore their children’s skills may be affected. This paper estimates causal effects of severe parental health shocks on child socio-emotional skills. Drawing on a large-scale survey linked to hospital records, we find that socio-emotional skills of 11-16 year-olds are robust to parental health shocks, with the exception of significant but very small reductions in Conscientiousness. We study short-run effects with a child-fixed effects model, and dynamics around the shocks with event studies. A sibling comparison suggests some long-run build-up of effects of early shocks. " "Loris Rubini, University of New Hampshire";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-04-23";"14:15";"2021-04-23";"15:15";"Virtuel zoom seminar";"""Resource Misallocation from Childcare Policies"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Resource Misallocation from Childcare Policies"" Abstract Childcare costs limit the capacity of low-income families to work. Governments have designed various policies to reduce these costs, although some may have unforeseen negative general equilibrium consequences. This paper focuses on one law in Chile that forces firms with more than 19 female workers to pay for childcare. We evaluate its effects through a calibrated model that features firm and household heterogeneity. Removing the policy would increase GDP by 3.4%. The distributional impacts are sizeable, with losses of 18% among families losing coverage to gains of up to 20% for other families in consumption equivalent units. We evaluate two alternative policies: one currently being considered by the Chilean government that finances childcare through a labor tax, and another where all firms must pay for childcare irrespective of size. Both policies would provide gains for all households, with larger improvements in the former (GDP increases by 3.5%) and welfare gains for the poorest of up to 60%. Contact person: Martin Gonzalez-Eiras" "DISTRACT seminar with Paula Helm";"";"2021-04-23";"11:00";"2021-04-23";"12:00";"Zoom";"DISTRACT seminar with Paula Helm - Problematic use and addictive design – Towards distributed responsibility";"Problematic use and addictive design – Towards distributed responsibility Online manipulation, excessive gaming and porn consumption, loss of control over time on device, concentration disorders - all these problems are closely linked to the proliferation of information and communication technologies. The generic term for this has become ""Problematic Internet Use"" (PIU). PIU encompasses all kinds of ""repeated impairing behaviors"" in relation to the internet that lead to negative consequences in daily life. More recently, PIU has sparked debates in influential institutions such as the WHO, the American Psychiatric Association, and some federal departments of labor and health. At issue are questions such as: At what point should certain patterns be classified as pathogenic? How are these patterns to be dealt with: how are they to be treated? How to be avoided? Last but not least: Who has to bear the responsibility for this?Two very different perspectives currently dominate these difficult debates. In psychiatric discourse, PIU is studied primarily at the level of the individual user, and it is at this level that solutions in the form of medication or behavioral therapy are explored (Spada 2014, Aboujaoude 2010). In contrast, work from fields such as critical computing, digital anthropology, and technology ethics suggests that the designs of many applications, as well as the utility functions they are intended to serve, are also problematic (Susser/Nissenbaum/Rössler 2019; Williams 2018; Dow Schüll 2012).In my talk, I will think these two perspectives together. In doing so, I draw on work from the field of STS as well as on ideas and practices performed by recent media resistance movements. My goal is not only to capture the complex and relational structure of PIU, but also to move away from a one-sided understanding of responsibility. By combining a Neo Republican understanding of responsibility with a New Materialist one, I make clear why it would be fatal to limit ourselves to a one-sided understanding of responsibility either way. Rather, what we need in this context is a triangular understanding of responsibility. This triangle distributes responsibility between users, developers, and the technologies themselves. Please join us on Zoom:https://ucph-ku.zoom.us/j/4100465911?pwd=YnBqdTFPc1JXd1NjSE9CVURHdWJTQT09 " "Thiemo Fetzer, Warwick University";"Department of Economics";"2021-04-19";"10:00";"2021-04-19";"11:30";"Virtuel zoom seminar";"""How Big is the Media Multiplier? Evidence from Dyadic News Data"". Seminar arranged by the Department of Economics";"""How Big is the Media Multiplier? Evidence from Dyadic News Data"" Abstract This paper uses novel data to show how the media amplifies the economic impact of newsworthy events - the media multiplier. Specifically, we combine monthly aggregated and anonymized card spending data from 114 card issuing countries in 5 destination countries (Turkey, Egypt, Tunisia, Israel and Morocco) with a large corpus of news coverage of violent events in these destinations. To define and quantify the media multiplier we estimate a model of how media coverage helps shape beliefs about risks. When a country is perceived as dangerous by all potential visitors, aggregate spending falls by 53 percent with more than half of this effect due to the media multiplier. Contact person: Christian Schultz" "DGPE PhD course: Subjective Beliefs in Macroeconomics and Household Finance";"";"2021-04-19";"";"2021-04-22";"";"On-line";"Lecturers: Yueran Ma, Michael McMahon, Chris Roth, Johannes Wohlfart, Florian Zimmermann.";"Center for Economic Behavior and Inequality (CEBI) and Department of Economics offer a five-day course on the empirical study of expectation formation in macroeconomics and finance. The course consists of a 3-days teaching block and attendance of a 2-days research workshop with internal and external speakers. A large part of of our course introduces students to the new emerging literature studying expectation formation of firms and consumers using experimental methods. However, we will also discuss the use of observational data, such as data from existing household surveys, and the use of high frequency data as well as textual analysis to better understand expectation formation. Topics include the formation of expectations about inflation, GDP growth, house prices and stock returns. Moreover, we discuss the role of expectations in shaping economic and financial behavior of households and firms. Part of the course will focus on central bank communication and its role in expectation formation." "Ralph Ossa, University of Zurich";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-04-16";"14:15";"2021-04-16";"15:15";"Virtuel zoom seminar";"""Are Trade Agreements good for you?"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Are Trade Agreements good for you?"" Abstract We examine how deep agreements on domestic regulations affect welfare in a world where such agreements are influenced by producer lobbies. The answer to this question depends in a critical way on whether the agreement focuses on product standards or on production regulations. International cooperation on product standards can decrease welfare, and this is more likely to happen when producer lobbies are stronger. On the other hand, international cooperation on production regulations tends to enhance welfare when lobbying pressures are strong. A key determinant of the welfare impact of deep agreements is whether the interests of producer lobbies in different countries are aligned or in conflict: the former situation tends to occur in the case of product standards, while the latter situation tends to occur in the case of production regulations. Joint with Giovanni Maggi (RR at the AER) Contact person: Morten Olsen" "DISTRACT seminar with Mariek Vanden Abeele";"";"2021-04-16";"11:00";"2021-04-16";"12:00";"https://ucph-ku.zoom.us/j/4100465911?pwd=YnBqdTFPc1JXd1NjSE9CVURHdWJTQT09 ";"DISTRACT seminar with Mariek Vanden Abeele: Digital Wellbeing in a Culture of Ubiquitous Connectivity: Towards a Dynamic Pathway Model (DISCONNECT)";"Digital Wellbeing in a Culture of Ubiquitous Connectivity: Towards a Dynamic Pathway Model (DISCONNECT) Mobile connectivity advances and threatens our autonomy: Smartphones enable us to perform our social roles, manage our social networks and access personalized information and services independent from time and place constraints. But smartphones also exert direct control over our behavior via the device’s reward infrastructure that stimulates addictive usage, and indirect control via normative pressure to be available and responsive. This mobile connectivity paradox prevents people from attaining a state of digital wellbeing. The urgency of this issue is visible in the myriad of (non-)technological interventions that aim to help us re-gain control over our digital media use, such as digital detox programs and digital tools that help disconnect. Current scholarship insufficiently integrates psychological, technological and social perspectives and fails to account for the dynamic nature of digital wellbeing. Building on the computational turn in social sciences and the digital ethnographic turn in online culture studies, this research project develops an integrative pathway model to digital wellbeing by embracing a multi-method and multi-paradigmatic research design that unveils radically new insights of (1) which unique constellations of person-, device- and context-specific factors lead to digital wellbeing, (2) how these constellations produce individual understandings of digital wellbeing, and (3) the implications of digital wellbeing interventions. In addition, this research project brings new methodological toolboxes into the field that advance the study of both digital wellbeing and other phenomena related to digital media use. Armed with new evidence, users, technology developers and policy makers will more likely be able to make our relationship with technology happier and healthier. The project combines (1) traditional data sources (survey and interview data) with (2) behavioral data gathered via smartphone logging and (3) dynamic data on users’ momentary states and contexts gathered via mobile experience sampling. The DISCONNECT project is funded by an ERC Starting Grant. Join via Zoom:https://ucph-ku.zoom.us/j/4100465911?pwd=YnBqdTFPc1JXd1NjSE9CVURHdWJTQT09 " "Alisdair McKay, the Federal Reserve Bank of Minneapolis";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-04-09";"14:15";"2021-04-09";"15:15";"Virtuel zoom seminar";"""Lumpy Durable Consumption Demand and the Limited Ammunition of Monetary Policy"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Lumpy Durable Consumption Demand and the Limited Ammunition of Monetary Policy"" Abstract The prevailing neo-Wicksellian view holds that the central bank’s objective is to track the natural rate of interest (r∗), which itself is largely exogenous to monetary policy. We challenge this view using a fixed-cost model of durable consumption demand, in which expansionary monetary policy prompts households to accelerate purchases of durable goods. This yields an intertemporal trade-off in aggregate demand as encouraging households to increase durable holdings today leaves fewer households acquiring durables going forward. Interest rates must be kept low to support demand going forward, so accommodative monetary policy today reduces r∗ in the future. We show that this mechanism is quantitatively important in explaining the persistently low level of real interest rates and r∗ after the Great Recession. (Joint with Johannes F. Wieland, U.C. San Diego, NBER) Read full paper: ""Lumpy Durable Consumption Demand and the Limited Ammunition of Monetary Policy"" Contact person: Patrick Moran" "SODAS Panel Series: Diversity, Equity, and Inclusion in (Social Data) Science";"";"2021-04-09";"11:00";"2021-04-09";"12:30";"";"Diversity, Equity, and Inclusion in (Social Data) Science Ramon Amaro (University College London)Natalie Schluter (IT University of Copenhagen)Somdeep Sen (Roskilde University)";"Panel 3 Topic: Diversity, Equity, and Inclusion in (Social Data) Science Panel description: Like much of the societies that it is embedded in, social data science needs to grapple with questions of diversity, equity, and inclusion if it wants to realize to its full potential. This panel will focus on the what these questions and issues are as well as on potential solutions in social data science and beyond. The discussion will touch upon the de facto and ideal foci of DEI initiatives, their impact and failures to date, promising avenues for progress, and the role of sciences as a mere mirror or avant-garde for societal developments. Panelists Ramon Amaro (University College London) Natalie Schluter (IT University of Copenhagen) Somdeep Sen (Roskilde University) 9 April 2021, 11:00 -12:30 This panel will take place in Zoom. Join Zoom Meetinghttps://ucph-ku.zoom.us/j/68304740404?pwd=TDN0N0JmSysyVEkyRkdvMVZRZ2todz09 Meeting ID: 683 0474 0404Passcode: 310522 If you have any questions, please contact Katrine Herold at katrine.herold@sodas.ku.dk " "Gabriel Chodorow-Reich, Harvard University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-03-26";"14:15";"2021-03-26";"15:15";"Virtuel zoom seminar";"""The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""The 2000s Housing Cycle With 2020 Hindsight: A Neo-Kindlebergerian View"" Abstract We re-examine the 2000s housing cycle with the benefit of a decade of additional data following the boom and bust. At the city level, areas with the largest price increases during the boom had the largest busts, but have also had faster growth during the ``""rebound'' period since the bust ended. As a result, these areas have also had the largest price appreciation over the 25 year period including the boom, bust, and subsequent rebound. Long-run population, income, and rent growth all correlate positively with a larger house price boom, and these correlations remain intact in instrumental variable specifications using plausibly exogenous shifters of population and income. We interpret the boom in a learning model in which the combination of over-optimism about fundamental-driven house price increases generates a mania and foreclosures generate a crash, but where fundamental changes to local areas explains both short and long-run changes. Joint with Adam Guren and Tim McQuade Contact person: Daphne Skandalis" "Petr Sedlacek, Oxford University";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-03-19";"14:15";"2021-03-19";"15:15";"Virtuel zoom seminar";"""Up-or-Out Dynamics and Aggregate Growth"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Up-or-Out Dynamics and Aggregate Growth"" Abstract Micro-data evidence suggests that firm selection and growth is largely driven by demand-side factors. We build this feature into a model of endogenous firm-level innovation, productivity growth and reallocation. The interaction between demand and productivity growth gives rise to a new economic force: the Firm-Level Market Size (FiLMS) effect. We show analytically that the FiLMS effect can lead to over-investment in R&D. Using aggregated firm-level data to parametrize our model, we show that – contrary to many existing studies - our economy features over-investment in R&D and that its responsiveness to R&D policies vastly differs when demand-side factors are ignored at the firm-level. Contact person: Søren Hove Ravn" "Ana Maria Santacreu, Saint Louis FED";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-03-12";"14:15";"2021-03-12";"15:15";"Virtuel zoom seminar";"""International Technology Diffusion: A Gravity Approach"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""International Technology Diffusion: A Gravity Approach"" Abstract This paper investigates empirically the determinants of international technology licensing using data for 61 countries during 1995-2012. A multi-country one-sector model of innovation and diffusion with perfect enforcement of IPR yields a structural gravity equation for bilateral royalty payments as a function of economic fundamentals. The gravity equation is estimated using nonlinear methods. The model’s fundamentals account for 45% of the variation in royalty payments. Other factors such as imperfect IPR protection and a country’s production structure account for a substantial fraction of the unexplained variation, especially in developing countries. A back-of-the-envelop calculation suggests that perfect IPR enforcement in China would have led to 20% more technology transfers from the United States. Contact person: Birthe Larsen" "Patrick Kofod Mogensen forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2021-03-10";"10:00";"";"";"pr. Zoom";"Patrick Kofod Mogensen forsvarer sin ph.d.-afhandling: ""Essays in Dynamic Economics"" ";"Patrick Kofod Mogensen forsvarer sin ph.d.-afhandling:""Essays in Dynamic Economics"" Kandidat Patrick Kofod Mogensen Titel:""Essays in Dynamic Economics"" Tid og sted: 10. marts 2021 kl. 10:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/66802872236 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Thomas Høgholm Jørgensen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Fedor Iskhakov, Australian National University Associate Professor Fane Naja Groes, Copenhagen Business School Abstract This dissertation contains three self-contained chapters. They are united by the dynamic economic models that are either studied theoretically or applied empirically. The first two were written in collaboration with co-authors.The first chapter is about the theoretical properties of the value function when solving discrete time, discrete choice dynamic programming problems using sieves to approximate the value function. The second chapter is about the incentives and dynamics that governs students’ progression and work choices. Using a dynamic structural model we explore behaviorof university students in Denmark and look into why students generally do not finish on time. We use the model to evaluate a number of counterfactual policies affecting university students. The third chapter derives equilibrium conditions for directional dynamic games and shows how to solve them using homotopy continuation methods for systems ofmultivariate polynomials in the complete information formulation of the games and interval arithmetic for the incomplete information games.Chapter 1 – Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods with Dennis Kristensen, Jong-Myun Moon, and Bertel Schjerning (Forthcoming in Journal of Econometrics)We propose to combine smoothing, simulations and sieve approximations to solve for either the integrated or expected value function in a general class of dynamic discrete choice (DDC) models. We use importance sampling to approximate the Bellman operators defining the two functions. The random Bellman operators, and therefore also the correspondingsolutions, are generally non-smooth which is undesirable. To circumvent this issue, we introduce smoothed versions of the random Bellman operators and solve for the corresponding smoothed value functions using sieve methods. We also show that one can avoid using sieves by generalizing and adapting the “self-approximating” method to our setting. We providean asymptotic theory for both approximate solution methods and show that they converge with square root-N-rate, where N is number of Monte Carlo draws, towards Gaussian processes. We examine their performance in practice through a set of numerical experiments and find that both methods perform well with the sieve method being particularly attractive in terms of computational speed and accuracy.Chapter 2 – Student Choices, Incentives, and Labor Markets Outcomes: The Case of Delayed Graduationwith Bjørn Bjørnsson Meyer. In this chapter, we set up a dynamic choice model describing how various pecuniary and nonpecuniary incentives influence university students’ decisions on part-time work, dropout, and delayed graduation. We estimate the model using Danish register micro data combined with administrative data from the country’s largest university. Counterfactual simulations using the estimated model show that: (i) About half of the average delay in time-to-graduationcan be explained by students following economic incentives to prepare for the labor market with work experience. The other half is due to a range of factors, such as income through part-time work and grants and the cost of effort for heavy course load. (ii) Cutting financial aid with one year reduces average time-to-graduation by 0.3 year, but also increases dropout.Chapter 3 – Equilibrium Conditions and Solution Methods for Directional Dynamic Oligopoly Games In this paper, I derive equilibrium conditions for sub-stages in directional dynamic games with different model specifications in terms of number of actions, number of players, and exogenous (non-)directional states. I show how to use these to solve for all Markov PerfectEquilibria using Recursive Lexicographical Search. I add to the existing literature by deriving the needed equilibrium conditions needed to solve these games, and provide details on how to solve the sub-stages. I show how to solve the system of multivariate polynomial equations in complete information games using all-solution methods and propose a way to solve the more complex system of equations using interval arithmetic in incomplete information versions of some of the games. Full solution methods are important if the aim is to characterize the potential market configurations that can obtain, or if the goal is to estimate structural parameters in a model of dynamic, strategic interaction." "Presentation on Social Data Science";"It-vest - samarbejdende universiteter ";"2021-03-10";"09:00";"2021-03-10";"12:00";"Zoom";"Morten Axel Petersen to present at conference on Digitalization and Digital Skills";"Professor of anthropology and director of SODAS, Morten Axel Pedersen, will be giving a presentation on Social Data Science at the conference “Digitalization and Digital Skills”, Wednesday 10 March 2021 from 9:00-12:00 on Zoom. Go to the conference website to read more and see a list of presenters Participation is free, but registration is needed." "James Stock, Harvard University";"Distinguished Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-03-09";"12:00";"2021-03-09";"13:00";"Virtuel zoom seminar";"""The Macroeconomic Impact of Europe’s Carbon Taxes"". Distinguished Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""The Macroeconomic Impact of Europe’s Carbon Taxes"" Abstract Policy makers often express concern about the impact of carbon taxes on employment and GDP. Focusing on European countries that have implemented carbon taxes over the past 30 years, we estimate the macroeconomic impacts of these taxes on GDP and employment growth rates for various specifications and samples. Our point estimates suggest a zero to modest positive impact on GDP and total employment growth rates. More importantly, we find no robust evidence of a negative effect of the tax on employment or GDP growth. We examine evidence on whether the positive effects might stem from countries that used the carbon tax revenues to reduce other taxes; while the evidence is consistent with this view, it is inconclusive. We also consider the impact of the taxes on emission reductions and find a cumulative reduction on the order of 4 to 6 percent for a $40/ton CO2 tax covering 30% of emissions. We argue that reductions would likely be greater for a broad-based U.S. carbon tax since European carbon taxes do not include in the tax base those sectors with the lowest marginal costs of carbon pollution abatement. Contact person: Emiliano Santoro" "Andri Chassamboulli, University of Cyprus";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-03-05";"14:15";"2021-03-05";"15:15";"Virtuel zoom seminar";"""TBD"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""TBD"" Contact person: Birthe Larsen" """Government Debt and Fiscal Policy after COVID-19: Global Challenges"", debate with Niels Thygesen and Lorenzo Codogno";"Arranged by The Department of Economics and Danmarks Nationalbank within CopenhagenMacro Network";"2021-03-03";"12:00";"2021-03-03";"13:15";"Via zoom ";"Danmarks Nationalbank and the University of Copenhagen is hosting a roundtable with Niels Christoffer Thygesen (University of Copenhagen and European Fiscal Board) and Lorenzo Codogno (LSE and LC Macro Advisors)";"Niels Christoffer Thygesen is a Professor Emeritus of International Economics at the University of Copenhagen and Chair of the European Fiscal Board. He has also worked for the Danish government, Harvard’s Development Advisory Service, and the OECD. Over his career he acted as adviser to the Governor of Danmarks Nationalbank, Chair of the Danish Economic Council and member of various expert groups on European monetary and financial integration - the subject area of most of his research and publications. He studied at the University of Copenhagen, where he obtained a PhD, and Harvard University.Lorenzo Codogno has since 2015 been the founder and Chief Economist of the economic consulting business LC Macro Advisors Ltd. He is currently a Senior Fellow of the LUISS School of European Political Economy in Rome and professor in practice at the London School of Economics. Prior to joining LSE, Lorenzo was chief economist and director general at the Treasury Department of the Italian Ministry of Economy and Finance from May 2006 to February 2015.Program Committee: Federico Ravenna (Head of Research, Danmarks Nationalbank) and Emiliano Santoro (Danmarks Nationalbank Bicentenary Chair in Economics, University of Copenhagen)" "SODAS Panel Series: Ethical and Practical Issue in Data Collection";"SODAS";"2021-02-26";"16:00";"2021-02-26";"17:30";"Zoom";"SODAS Panel Series ""Ethical and Practical Issues in Data Collection"" ";" Ethical and Practical Issues in Data Collection Social data science often relies on data generated by individuals in their day to day activity online and collected by companies or other organizational actors with an interest or obligation to keep them private. This panel will focus on the ethical and practical issues this raises for data collection in social data science and beyond. These issues include the tension between privacy and reproducible research, the (lack of) data collection and protection standards, and the public interest vs business objectives of social media companies. Panelists Robert Monarch (Apple) Deen Freelon (University of North Carolina, Chapel Hill) Rebekah Tromble (George Washington University) 26 February 2021, 7 AM PT/10 AM ET/4 PM CET This Panel will take place in Zoom. Join Zoom Meetinghttps://ucph-ku.zoom.us/j/68053230418?pwd=M2ZNTFJLRUxxbmw3SFkvUDFvNlFPZz09 Meeting ID: 680 5323 0418Passcode: 293617 If you have any questions, please contact Katrine Herold at katrine.herold@sodas.ku.dk" "Dirk Niepelt, Study Center Gerzensee and University of Bern ";"KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"2021-02-26";"14:15";"2021-02-26";"15:15";"Virtuel zoom seminar";"""Monetary Policy with Deposits, Reserves and CBDC: Optimality, Equivalence and Politics"". KU - CBS Virtual Macroeconomics Seminar, organized within the CopenhagenMacro Network";"""Monetary Policy with Deposits, Reserves and CBDC: Optimality, Equivalence and Politics"" Contact person: Martin Gonzalez-Eiras" "SODAS Data Discussion 26 February 2021";"SODAS ";"2021-02-26";"11:00";"2021-02-26";"12:00";"Zoom";"Titles Tell me a story: Quantifying economic narratives and their role during COVID-19Identifying the impact of scholar mobility using bibliometric data";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Authors: Daniel Borup, Jorge W. Hansen, Benjamin Liengaard and Erik C. M. Schütte. CREATES, Department of Economics and Business Economics, Aarhus University. Title: Tell me a story: Quantifying economic narratives and their role during COVID-19 Abstract: We provide quantitative evidence that economic narratives are deeply integrated with the real economy and financial markets. To that end, we retrieve the most salient COVID-19 narratives from daily open-ended questionnaires presented to a large number of US stockholders prior to, during, and after the first wave of the pandemic (February through June, 2020). We elicit thirteen narratives (e.g. supply disruption, investor fear, stay at home, infection worry, and fiscal and monetary policy intervention) using textual analysis from the survey responses and quantify their propagation over time with individual time series. These narrative series are then included in a large network of macro-financial vari- ables, revealing that (i) narratives significantly drive unexpected fluctuations in the real economy and financial markets and that (ii) narratives are themselves shaped by the real economy and financial markets. The two directions are generally equally strong. These effects exist at a daily horizon, and cumulate over a weekly and monthly horizon. Narratives on supply disruption, infection worry, consumer confidence, and fiscal policy intervention play a dominant role. Authors: Benjamin Holding and Claudia Acciai, both PostDoc’s at Department of Sociology, UCPHTitle: Identifying the impact of scholar mobility using bibliometric data Abstract: The science of science literature suggests that scientists acquire different rewards for their work depending on their prior reputation. This means that scientists affiliated with high prestige institutions are often at an advantage compared to scholars from less prestigious institutions or lower research-intensive countries. However, it has previously been unknown whether this effect was due to differences in researcher quality (capacity) or due to a status-driven “Mathew-effect”. In the present study, we use scholarly mobility, as measured through the Web of Science bibliometric database, as a method to try and disentangle these potential explanations. We also aim to assess the impact of different international mobility choices on a researcher’s long-term scientific performance.We will compare performance of scholars (using a difference-in-difference approach) by matching authors with similar backgrounds (using coarsened exact matching) to understand both the short-term and the long-term impact of mobility on scientists’ career development. By looking at the performance of international mobile researchers and that of their non-mobile peers, we can assess the priming effect that specific countries, or institutions, have on the external perception of their scientific output. The SODAS Data Discussion will take place at SODAS in Zoom from 11.00 am to 12.00 noon. Katrine Herold is inviting you to a scheduled Zoom meeting. Topic: Data DiscussionTime: Feb 26, 2021 11:00 AM Copenhagen Join Zoom Meetinghttps://ucph-ku.zoom.us/j/68596374155?pwd=ZVdpbkNxL2dPN0pRWG91K2ZobS9HZz09 Meeting ID: 685 9637 4155Passcode: 978069" "Mia Renee Herløv Jørgensen forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2021-02-25";"";"";"14:30";"-";"Mia Renee Herløv Jørgensen forsvarer sin ph.d.-afhandling:""Causes of Inequality in Health and Economic Resources: Empirical Essays in Economics""";"Mia Renee Herløv Jørgensen forsvarer sin ph.d.-afhandling:""Causes of Inequality in Health and Economic Resources: Empirical Essays in Economics"" Kandidat Mia Renee Herløv Jørgensen Titel: ""Causes of Inequality in Health and Economic Resources: Empirical Essays in Economics"" Tid og sted: 25. februar 2021 kl. 14:30. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Torben Heien Nielsen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Anna Piil Damm, Department of Economics and Business Economics, Aarhus Universitet Professor Annette Vissing-Jørgensen, Haas School of Business, University of California, Berkeley, USA Anstract The Ph.D. dissertation consists of three self-contained chapters and considers some of the causes of inequality in income, wealth and health. The first chapter studies the health consequences of living in a low-income neighborhood. We exploit that the Danish Spatial Dispersal Policy resettled refugees quasi-randomly across neighborhoods from 1986 to 1998, which allows us to isolate the causal health impact of living in a low-income neighborhood from self-selected settlement patterns. We find that refugees who were placed in the poorest neighborhoods were more likely to develop lifestyle related diseases and suggest that health behavior of close neighbors or the characteristics of the very local area are important to understanding how neighborhoods impact the health of their residents. The chapter is co-authored with Linea Hasager. In the second chapter, we study if there is a connection between individuals' debt and their mental health. In specific, we study mental health problems following a somatic inpatient hospitalization using an event study model, where we allow the mental health response to depend on the individual's leverage prior to the hospitalization. We show that individuals with higher leverage are more likely to suffer from mental health problems after they experience a health shock than individuals with lower leverage, and our findings indicate that this could be driven by debt increasing the risk of financial distress associated with negative emotions such as stress or anxiety. The chapter is co-authored with Asger Lau Andersen, Rajkamal Iyer, Niels Johannesen and José-Luis Peydró. The third chapter is concerned with how monetary policy affects income and wealth across the income distribution. To isolate the impact of monetary policy from other macroeconomic shocks we exploit exogenous monetary policy rate changes determined by the Danish currency peg. We document that softer monetary policy creates income and asset value gains for all income groups but that gains disproportionately benefit the top income groups. For all income groups the income gains are small in comparison with the asset value gains. Our findings are important for understanding both the distributional consequences, the transmission mechanism, and the aggregate effects of monetary policy changes. The chapter is co-authored with Asger Lau Andersen, Niels Johannesen and José-Luis Peydró." "SODAS Panel Series: Issues in Fair Science";"SODAS";"2021-02-19";"11:00";"2021-02-16";"12:30";"Zoom";"SODAS Panel Series: Issues in Fair Science (Introductory Panel)";"Issues in Fair Science (Introductory Panel) As an emerging field, social data science has the opportunity to approach issues of fairness in science with a somewhat clean slate. This makes it all the more important to identify what these issues are and how they might be addressed. This panel will take a broad perspective on issues in fair science including questions of ethics and practicalities of data collection, publication incentives and academic performance indicators, diversity and equity in science, and the drivers and hurdles to research on different topics. The goal then is to map out the issues confronting the emerging field of social data science Panelists Kristoffer Albris Rebecca Adler-Nissen Anna Rogers This lecture will take place in Zoom Join Zoom Meetinghttps://ucph-ku.zoom.us/j/65382436805?pwd=d1dKaktaRDdJMFNFZ0dWWVlSTUg5QT09Meeting ID: 653 8243 6805Passcode: 291279 If you have any questions, please contact Katrine Herold at katrine.herold@sodas.ku.dk" "Adrien Bilal, Harvard University ";"KU - CBS Virtual Macroeconomics Seminar";"2021-02-12";"14:15";"2021-02-12";"15:15";"Virtuel zoom seminar";"""Outsourcing, Inequality and Aggregate Output"". KU - CBS Virtual Macroeconomics Seminar";"""Outsourcing, Inequality and Aggregate Output"" Abstract Outsourced workers experience large wage declines, yet domestic outsourcing may raise aggregate productivity. To study this equity-efficiency trade-off, we contribute a framework in which more productive firms either post higher wages along a job ladder to sustain a larger in-house workforce, comprised of many imperfectly substitutable worker types and subject to decreasing returns to scale, or rent labor services from contractors who hire in the same frictional labor markets. Three implications arise: more productive firms are more likely to outsource to save on higher wage premia; outsourcing raises output at the firm level; labor service providers endogenously locate at the bottom of the job ladder, implying that outsourced workers receive lower wages. Using firm-level instruments for outsourcing and revenue productivity, we find empirical support for all three predictions in French administrative data. After structurally estimating the model, we show that the rise in outsourcing in France between 1997 and 2007 increased aggregate output by 1% and reduced the labor share by 3 percentage points. (Joint with Hugo Lhuillier) Read more about Adrien Bilal and read the full paper ""Outsourcing, Inequality and Aggregate Output"" Contact person: Antoine Bertheau" "Gonzalo Paz-Pardo, ECB";"KU - CBS Virtual Macroeconomics Seminar";"2021-02-05";"14:15";"2021-02-05";"15:15";"Virtuel zoom seminar";"""Homeownership and Portfolio Choice over the Generations"". KU - CBS Virtual Macroeconomics Seminar";"""Homeownership and Portfolio Choice over the Generations"" Abstract Earnings are riskier and more unequal for households born in the 1960s and 1980s than for those born in the 1940s. Despite the improvements in financial conditions, younger generations are less likely to be living in their own homes than older generations at the same age. By using a life-cycle model with housing and portfolio choice that includes flexible earnings risk and aggregate asset price risk, I show that changes in earnings dynamics account for a large part of the reduction in homeownership across generations. Lower-income households find it harder to buy housing, and as a result accumulate less wealth. Contact person: Patrick Moran" "DISTRACT talk with Trine Syvertsen";"DISTRACT - SODAS";"2021-01-29";"11:00";"2021-01-29";"12:00";"Zoom link: https://ucph-ku.zoom.us/j/64423402296";"Intrusive media, ambivalent users, digital detox (Digitox)Talk by Trine Syvertsen";"Intrusive media, ambivalent users, digital detox (Digitox)The question of how to manage online and offline involvement produces tensions in peoples’ private lives and is debated in the public sphere. In this presentation, Trine Syvertsen will talk about the project she chairs: Intrusive media, ambivalent users and digital detox (Digitox). Digitox is funded by the Norwegian Research Council 2019-2023 and currently includes nine researchers, including two PhD-scholars. The project studies intrusive media from the perspectives of history, politics, business and users. All are welcome. Time: Friday 29 January 2021 11:00-12:00 AMVenue: Zoom Zoom link: https://ucph-ku.zoom.us/j/64423402296" "Sofie Cairo forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2021-01-15";"14:00";"";"";"";"Sofie Cairo forsvarer sin ph.d.-afhandling: ""Essays on Economic Consequences of Complex Public Policies and Fertility Desires""";"Sofie Cairo forsvarer sin ph.d.-afhandling: ""Essays on Economic Consequences of Complex Public Policies and Fertility Desires"" Kandidat Sofie Cairo Titel: ""Essays on Economic Consequences of Complex Public Policies and Fertility Desires"" Tid og sted: 15. januar 2021 kl. 14:00. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/9536476672 En elektronisk kopi af afhandlingen kan fås ved henvendelse til: charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Lektor Mette Gørtz , Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Gesine Stephan, Friedrich Alexander Universität, Tyskland Professor Petter Lundborg, Lund Universitet, Sverige Abstract:The PhD dissertation consists of three self-contained chapters. In the first chapter, I study the importance of fertility desires of young women for their later life outcomes. Matching data from the Danish Longitudinal Survey of Youth with rich administrative records, I empirically investigate the direct link between young women’s fertility desires and their family formation and labor market outcomes. I find that desiring a large family translates into earlier childbearing and is associated with significant increases in realized fertility levels. Moreover, desiring a large family is associated with cumulative wage losses over working career equivalent to 8% of mean sample wage income. Wage losses reflect delayed labor market entry and decreased labor supply over working career among women desiring a large family reflected in less full-time employment and more part-time employment. The second and third chapters focus on complex public policies, such as sanctions and work requirements, and their effect on job search and labor market outcomes of benefit recipients. These chapters rely on evidence from recent large-scale field experiments among Danish jobseekers conducted in collaboration with The Danish Agency for Labor Market and Recruitment. In the second chapter, which is joint work with Steffen Altmann, Robert Mahlstedt, and Alexander Sebald, we study how job seekers’ understanding of complex unemployment insurance (UI) benefit rules affects their job search and labor market outcomes based on a randomized controlled trial among the universe of Danish UI benefit recipients. Our intervention exogenously promotes the usage of an online information tool that provides individuals with personalized information on how their accumulated working time can be used to prolong their potential benefit period. We match data from our experiment with an online survey and comprehensive administrative records. The intervention improves job seekers’ understanding of prevailing labor market rules significantly, while consequences for realized labor market outcomes crucially depend on timing of treatment. For long-term benefit recipients, who are close to benefit expiration, the treatment increases their probability of working in temporary and part-time jobs, but reduces their overall working hours and earnings. In the third and last chapter, which is written with Robert Mahlstedt, we identify causal effects of warnings and information about enforced sanctions on subsequent labor market outcomes of welfare recipients based on a large-scale field experiment. We disentangle the effect of providing (i) general information about existing work requirements and (ii) personalized information regarding the individual’s own situation. Although warnings generally reduce the likelihood of being sanctioned, the provision of general information reduces subsequent earnings and working hours. Providing access to personalized information counteracts the negative effect of the warning and stimulates exits from welfare. The latter is partly explained by a greater usage of other types of income support not subject to the sanction regime. Information about already enforced sanctions improve the labor market performance of welfare recipients without the economic support of a partner." "Marianna Kudlyak, SF Fed";"KU - CBS Virtual Macroeconomics Seminar";"2020-12-18";"14:15";"2020-12-18";"15:15";"";"""Job-Finding and Job-Losing : A Comprehensive Model of Heterogeneous Individual Labor-Market Dynamics"". KU - CBS Virtual Macroeconomics Seminar";"""Job-Finding and Job-Losing : A Comprehensive Model of Heterogeneous Individual Labor-Market Dynamics"" Abstract We study the paths over time that individuals follow in the labor market, as revealed in the monthly Current Population Survey. Some people face much higher flow values from work than in a non-market activity; if they lose a job, they find another soon. Others have close to equal flow values and tend to circle through jobs, search, and non-market activities. And yet others have flow values for non-market activities that are higher than those in the market, and do not work. We develop a model that identifies and quantifies heterogeneity in dynamic individual behavior. Our model provides a bridge between research on monthly transition rates in the tradition of Blanchard and Diamond (1990) and research on economic dynamics in the tradition of Mortensen and Pissarides (1994). Our estimates discern 5 distinct types. Most unemployment comes from just two of those types. Low employment types frequently circle among unemployment, short-term jobs, and being out of the labor market. Short-term jobs play a role in the job-finding process related to the role of unemployment. These are stop-gap jobs for high-employment types and a part of circling for low-employment types. Because of their high job-finding rates, and despite their low flow values of non-work relative to work, the volatility of the future lifetime value that high-employment types derive from work and non-work is lower than for low-employment types. Please contact Emiliano Santoro for Zoom-link" "Kristian Stamp Hedeager forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-12-16";"14:00";"";"";"";"Kristian Stamp Hedeager forsvarer sin ph.d.-afhandling ""Essays in Empirical Microeconomics""";"Kristian Stamp Hedeager forsvarer sin ph.d.-afhandling :""Essays in Empirical Microeconomics"" Kandidat Kristian Stamp Hedeager Titel:""Essays in Empirical Microeconomics"" Tid og sted: 16. december 2020 kl. 14:00. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/9536476672 Det vil være muligt før forsvaret at få tilsendt en udgave af afhandlingen ved henvendelse til charlotte.jespersen@econ.ku.dk Bedømmelsesudvalg Professsor Søren Leth, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Kaisa Kotakorp, Tampere University, Finland Associate Professor Rune Majlund Vejlin AbstractChapter 1: Using Real-time Verification of Self-reported Information to Reduce Tax Evasion.The first chapter, co-authored with Peer Skov, studies the effect of real-time verification of taxpayer information on over-reporting of personal income tax deductions. Audit evidence shows that tax evasion disproportionally exists among self-reported income and deductions. We study a new approach to validate self-reported tax information. From 2013 the Danish tax administration (SKAT) introduced an online reporting module for taxpayers self-reporting deductions for child support and alimony payments. The module combines information from public birth and marriage registers to validate the claimants’ entitlement in real time. Using full population tax administration data, we show the 2013 introduction caused a 6% drop in the number of self-reported deductions and a 5% reduction in the value of claims on the intensive margin. The decrease in deductions for child support and alimony payments was not off-set by an increase in other deductions and therefore lead to an increase in tax revenue. The awareness of the large tax gap for self-reported income has caused tax administrations to increase the use of third-party information but not all tax items have a natural third-party. Our results show that as tax administrations move towards tax e-filing, the combination of online tax reporting and existing public registries opens a new avenue to reduce evasion from self-reported information. Chapter 2: The Effect of Garnishment on Individual Income: Evidence from Denmark.Most OECD countries use garnishments to collect government debts by deducting a share of a debtors' income directly at its source, but empirical evidence on how this practice affects labor market decisions is scarce. The second chapter studies individual income responses to garnishment in Denmark using an event-study approach combined with detailed administrative income data at the monthly frequency. I find that after 12 to 18 months in garnishment, individuals on average increase after-tax incomes by 2%. By defining individual recovery rates as the response in after-tax income relative to the individual-specific size of garnishment, I find that individuals regain on average 40 to 50% of the loss they incur through garnishment. The response is highest for individuals with relatively low garnishment rates. Individuals with very high garnishment rates seem to decrease incomes, but this effect is not statistically significant. I confirm that the income response can be interpreted as an increase in labor supply by documenting a significant increase in the number of hours worked in months following the initial garnishment. Chapter 3: Education Spillovers within the Workplace,The third chapter, which is co-authored with Jakob R. Munch and Georg Schaur, studies the impact of higher education on co-workers' wages. Education policies depend in part on the presence of externalities, but very little evidence exists to confirm the existence of such externalities. In this study we investigate if there are spillover effects from education within peer groups at the workplace. We estimate the effect of increasing the share of higher educated workers in close peer groups on wages, using a rich data source linking workers to workplaces and specific occupations. Our empirical approach accounts for the endogenous sorting of workers into peer groups and workplaces, and, at the same time avoids the reflection problem. In our main specification we find statistically significant but economically small peer effects across all occupations. The magnitude of the effect differs across length and type of education, as well as across occupations and peer group- and workplace size. For at overvære ph.d.-forsvaret, se venligst link: https://ucph-ku.zoom.us/j/9536476672" "Gustav Agneman forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-12-15";"16:00";"";"";"";"Gustav Agneman forsvarer sin ph.d.-afhandling:""Essays on the Political Economy of Development: Determinants of Political and Economic Behavior""";"Gustav Agneman forsvarer sin ph.d.-afhandling :""Essays on the Political Economy of Development: Determinants of Political and Economic Behavior"" Kandidat Gustav Agneman Titel:""Essays on the Political Economy of Development: Determinants of Political and Economic Behavior"" Tid og sted: 15. december 2020 kl. 16:00. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Professsor John Rand , Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Peter Martinson, Göteborg Universitet, Sverige Profesor James Robinseon, Chicago Universitet, USA Abstract:This thesis is composed of four self-contained chapters investigating determinants of political and economic decision-making in developing contexts. The first chapter studies the role of prospective economic evaluations in shaping preferences for and against political independence. In a nationally representative survey conducted in Greenland, I embed an information prime to induce an exogenous shift in economic expectations and to study how this shift influences voter behavior. The results reveal substantial information susceptibility, in that exposure to the prime impacts voters’ economic expectations of independence as well as their likelihood of opposing immediate secession. The effect is, however, much smaller among respondents with stronger Greenlandic identity, consistent with a model in which voters trade off identity and pecuniary motives when voting on independence. The second chapter presents a novel methodology to measure state capacity at sub-national levels where relevant data are lacking. We create an index of local state capacity based on survey data on states' ability to uphold law and order, collect taxes and provide services at the local level. Next, we predict this index using spatial data on structural factors which correlate with local state capacity. Lastly, we extrapolate the resulting prediction to construct a spatially disaggregated measure of state capacity across Sub-Saharan Africa. To showcase the usefulness of measuring state capacity at a local level, we employ the resulting proxy as a moderating variable in the oil-conflict relationship. The third chapter investigates the influence of food scarcity on economic cooperation. We leverage quasi-experimental variation in food scarcity induced by the Msimu harvest in rural Tanzania by conducting framed investment games with farmers before and after the harvest. Participants are both more likely to experience food scarcity and to refrain from investing in socially efficient cooperation during the lean period prior to, compared to after, the harvest. The detrimental effect is more pronounced among relatively poorer farmers. These results highlight the need to consider seasonal scarcity as a force that might itself perpetuate poverty. The fourth and final chapter studies the prevalence and determinants of parochial honesty, the tendency to behave more honestly toward members of the ingroup relative to members of the outgroup. To this end, we conduct experiments on honesty in Greenland, where small and geographically isolated communities provide for a natural demarcation between ingroup and outgroup. The results reveal significant group differentiation in moral decision-making. While participants cheat the outgroup, they consistently refrain from cheating their own group. The baseline differentiation is entirely driven by participants operating in the traditional economy, who are less exposed to market institutions and daily transactions with outsiders. This finding renders support to the Market Integration Hypothesis, which posits that economic and social integration reinforce one another. " "Makoto Nakajima, Philadelphia Fed";"KU - CBS Virtual Macroeconomics Seminar";"2020-12-11";"14:15";"2020-12-11";"15:15";"";"""Credit, Bankruptcy, and Aggregate Fluctuations"". KU - CBS Virtual Macroeconomics Seminar";"""Credit, Bankruptcy, and Aggregate Fluctuations"" Abstract We document the cyclical properties of unsecured consumer credit (procyclical and volatile) and of consumer bankruptcies (countercyclical and very volatile). Using a growth model with household heterogeneity in earnings and assets with access to unsecured credit (because of bankruptcy costs) and aggregate shocks, we show that the cyclical behavior of household earnings growth accounts for these properties, albeit not for the large volatility of credit. We find that tilting household consumption towards goods that can be purchased on credit and a slight countercyclicality in the terms of access to credit match the sizes of credit and bankruptcy volatilities. We also find that when the right to file for bankruptcy does not exist unsecured credit is countercyclical. (Joint with Jose-Victor Rios-Rull) Please contact Emiliano Santoro for Zoom-link" "Applied Economics Virtual End-of-Semester Workshop 2020";"The Department of Economics";"2020-12-09";"9:00";"2020-12-09";"16:00";"Virtuel zoom seminar";"Applied Economics Virtual End-of-Semester Workshop 2020 - arranged by the Department of Economics";"Download the full programme including abstracts for the AE-End-of-Semester Workshop 2020 via this LINK Please contact Casper Worm Hansen for Zoom link" "Benjamin Schoefer, UC Berkeley";"KU - CBS Virtual Macroeconomics Seminar";"2020-12-04";"17:00";"2020-12-04";"18:00";"";"""A Congestion Theory of Unemployment Fluctuations"". KU - CBS Virtual Macroeconomics Seminar";"""A Congestion Theory of Unemployment Fluctuations"" Abstract In recessions, unemployment increases despite the - perhaps counterintuitive - fact that the number of unemployed workers finding jobs expands. On net, unemployment rises only because even more workers lose their jobs. We propose a theory of unemployment fluctuations resting on this countercyclicality of gross flows from unemployment into employment. In recessions, the abundance of new hires ""congests'' the jobs the unemployed fill, diminishes their marginal product and discourages further job creation. Countercyclical congestion alone explains about 30 percent of U.S. unemployment fluctuations. Besides generating realistic labor market volatility, it also provides a unified explanation for the cyclical labor wedge, the excess earnings losses from job displacement and from graduating during recessions, and the insensitivity of unemployment to labor market policies, such as unemployment insurance. Please contact Emiliano Santoro for Zoom-link" "Virtual Data Discussion w/ Terne Sasha Thorn Jakobsen & Kristoffer Pade Glavind";"Copenhagen Center for Social Data Science (SODAS)";"2020-12-04";"11:00";"2020-12-04";"12:00";"Zoom";"Join us for the fourth and last Data Discussion of fall 2020. PhD students Terne Sasha Thorn Jakobsen and Kristoffer Pade Glavind will present.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Kristoffer Pade Glavind: TripAdvisor: Large online review dataset I present a dataset from the online review site TripAdvisor. It includes a large body of reviews (>20 million) from all restaurants in several major Europeans cities, and overall stats for restaurants and sights from about 30 big cities around the world. Further, it includes all reviews for >100.000 individual users. I believe that this dataset has potential to answer a wide range of questions, e.g. regarding trust, information, cultural differences, travel patterns, fake reviews, composition of cities and more. I am looking for research ideas and potentially for collaborators. Terne Sasha Thorn Jakobsen: Confounds in cross-topic argument mining Argument mining – the process of finding and extracting arguments from text – can be an important step in the fight against misinformation. A big challenge is learning models that generalise across topics rather than relying on within-topic confounds. Recent work in argument mining approach the problem by training with multiple topics and performing cross-topic evaluations on held-out topics. We question whether this evaluation protocol is sufficient. We emulate the evaluation protocol with state-of-the-art models, for both single-task and multi-task learning, and analyse the models using the interpretability tool LIME, and through ablation experiments. The analysis shows that cross-topic argument mining still rely heavily on within-topic confounds and does not generalise to distant topics. The SODAS Data Discussion will take place at SODAS in Zoom from 11.00 am to 12.00 noon. Join Zoom Meeting: https://ucph-ku.zoom.us/j/67702148237?pwd=dWZ2eXNUOFF5Q0YxVHphUmZYZUVCZz09 Meeting ID: 677 0214 8237Passcode: 164600 If you want to attend the event or want to know more, please write Katrine Herold at katrine.herold@sodas.ku.dk." "Felix Sebastian Døssing forsvarer sin ph.d.-afhandling";"";"2020-12-02";"14:00";"";"";"";"Felix Sebastian Døssing forsvarer sin ph.d.-afhandling: ""Essays on Generosity, Paternalism and Unemployment"".";"Felix Sebastian Døssing forsvarer sin ph.d.-afhandling :""Essays on Generosity, Paternalism and Unemployment"" Kandidat Felix Sebastian Døssing Titel:""Essays on Generosity, Paternalism and Unemployment"" Tid og sted: 2. december 2020 kl. 14:00. i CSS 26.2.21. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Professsor Mette Ejrnæs, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Julia Nafziger, Aarhus Universitet, Danmark Professor Jonathan Meer, Texas A&M, USA AbstractThe present thesis is composed of three self-contained chapters, each of which address aspects of economic and political behavior. The first chapter studies the effects of collective unemployment insurance implemented for about 70,000 members of the second largest union in Denmark. With government benefits often leaving many workers with low replacement rates, collective insurance is a novel non-government solution to overcoming the difficulties associated with private insurance. The attractiveness of collective unemployment insurance, however, presupposes that the externality imposed on the government system is minimal and that it can exist without large amounts of adverse selection. I study both of these aspects and find that the implementation of collective UI – in spite of leading to large increases in replacement rates – did not lead to increased unemployment and was not associated with the selection of individuals with higher risk of unemployment. Due to the large sample size, it is possible to put a low upper bound on the possible adverse effects.The second paper documents and investigates a large amount of homophily in the generosity of couples. Females and males are three times as likely at any age to donate to charity if their partner donates to charity. I use a set of econometric methods to decompose this association into the amount explained by the selection of generous partners by generous individuals and the amount explained by generous individuals influencing their partners. I find that 40-60% of the correlation is explained by social influence.The third and last chapter uses a laboratory experiment to study how individuals make use of the opportunity to regulate the choices of others. In the normative debate on choice regulation it is often assumed that regulators are both benevolent and competent. By contrast, the results from the experiment show that self-selection into being a choice regulator is unrelated to (information about) one’s relative ability. The experiment also shows that many regulators choose to use their regulatory privilege to hurt rather than help their subjects." "Serene Tan, NUS";"KU - CBS Virtual Macroeconomics Seminar";"2020-11-27";"14:15";"2020-11-27";"15:15";"";"""Directed Search"". KU - CBS Virtual Macroeconomics Seminar";"""Directed Search"" Abstract This paper proposes a theory endogenizing the market structure when buyers’ incomes are heterogeneous. Using a directed search model, ex ante identical firms choose the product quality of a good to sell and the target audience it wants to sell to, knowing only the income distribution of buyers. I show how the income distribution of buyers matters in determining the market structure. Segmentation of the product market by buyer income type can be obtained as an equilibrium phenomenon, but need not be. Firms respond to changes in income inequality by potentially changing not just prices, but also the qualities offered for sale. Firms’ markups depend on income inequality, and worsening income inequality may manifest in higher markups. Due to the endogeneity of the market structure, this paper makes explicit how changes in income inequality matter for agents’ welfare. Please contact Emiliano Santoro for Zoom-link" "DISTRACT seminar w/ Jesper Aagaard 27 Nov";"DISTRACT - SODAS";"2020-11-27";"11:00";"2020-11-27";"12:00";"Zoom";"Digital Distraction - how we handle digital technologies ";"Digital distraction - how we handle digital technologies Research shows that irrelevant use of IT in schools is related to worse grades, worse test results and a weakened ability to focus. Research also shows that pupils are aware of these negative consequences. But why do they use it then? Based on empirical research in a Danish high school, the presentation will aim at shedding light on the phenomenon and how it is handled in practice. Jesper Aagaard is cand.psych., PhD, and Associate Professor at The Department of Psychology and Behavioural Sciences at The University of Aarhus. Arrangementet foregår fredag d. 27. november kl. 11-12, alle er velkomne. Deltag på via dette Zoomlink: https://ucph-ku.zoom.us/j/63170967678 " "Linea Hasager forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-11-24";"13:00";"";"";"CSS 26.2.21";"Linea Hasager forsvarer sin ph.d.-afhandling: ""Essays in Migration Economics: A Host Country Perspective on Receiving and Integrating Immigrants""";"Linea Hasager forsvarer sin ph.d.-afhandling :""Essays in Migration Economics: A Host Country Perspective on Receiving and Integrating Immigrants Kandidat Linea Hasager Titel:""Essays in Migration Economics: A Host Country Perspective on Receiving and Integrating Immigrants"" Tid og sted: 24. november 2020 kl. 13:00. i CSS 26.2.21. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Associate Professsor Nicolaj Harmon, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Tommasso Frattine, University of Milan, Italien Senior Researcher Oddbjørn Raaum, Ragnar Frisch Centre for Economic Research, Norge Abstract The Ph.D. dissertation consists of four self-contained chapters focused on how host countries absorb immigrants into society. Chapter 1 studies the health consequences of living in a low-income neighborhood. We exploit a Spatial Dispersal Policy, which resettled refugees quasi-randomly across Danish neighborhoods, which allows us to separate causal impacts from selection into neighborhoods. We show that living in the poorest third of neighborhoods significantly increases the risk of developing a lifestyle related disease. Our findings suggest that the development of lifestyle related diseases is caused by interaction with immediate neighbors along with the characteristics of the small geographical area, whereas differences in individual income, access to health care and the presence of ethnic networks appear less important. Chapter 2 is concerned with how language training and economic work incentives affect refugees’ economic and social integration. We study an expansion of language training for refugees using a Regression Discontinuity Design. A subgroup also experienced a temporary reduction in welfare benefits. The expanded language training resulted in a significant increase in long-term employment and earnings, while the temporary benefit reduction had no impact on labor market outcomes. However, the reduced welfare benefits caused shoplifting in supermarkets to increase in the first year. Moreover, the policy had positive spillovers on the next generation. In chapter 3 I study how integration of female refugees is affected by their type of residence permit using an Event Study approach. If family-reunified women are recognized as refugees, their employment, earnings and divorce rates increase, while the risk of being subject to intimate partner violence decreases. The findings from my empirical analysis are consistent with the predictions from a model of household bargaining. The fourth chapter documents the role of labor market institutions in affecting the wage impacts of immigration using a cross-country meta-analytic approach. Our results suggest that higher labor market rigidity mitigates the effect on relative wages of native workers with skills most similar to immigrants, but exacerbates the impacts on average earnings in the economy." "Martin Gonzalez Eiras";"KU - CBS Virtual Macroeconomics Seminar";"2020-11-20";"14:15";"2020-11-20";"15:15";"";"""Optimally Controlling an Epidemic"". KU - CBS Virtual Macroeconomics Seminar";"""Optimally Controlling an Epidemic"" Abstract We propose a flexible model of infectious dynamics with a single endogenous state variable and economic choices by individuals and a government. We analytically characterize equilibrium and optimal outcomes as well as static and dynamic externalities and we calibrate and simulate the model to inform about the ongoing COVID-19 pandemic. We find the following: (i) A lockdown is followed by its opposite---policies to stimulate activity beyond the privately optimal level. (ii) Social distancing has small welfare gains when governments lack instruments to stimulate activity. (iii) Future expected epidemiological changes substantially affect current policy. (iv) Re-infection risk may imply a more cautious steady state than optimal. (v) When a cure or vaccination arrives deterministically, optimal policy may be dis-continuous, featuring a light lockdown when the arrival date exceeds a specific value, and a strict one otherwise. (Joint with Dirk Niepelt) Please contact Emiliano Santoro for Zoom-link" "CANCELLED- Virtual Data Discussion w/ Terne Sasha Thorn Jakobsen & Anna Helene Kvist Møller";"Copenhagen Center for Social Data Science (SODAS)";"2020-11-20";"11:00";"2020-11-20";"12:00";"Zoom";"";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Ph.d. student Terne Sasha Thorn Jakobsen and Ph.d. student Anna Helene Kvist Møller will present their work. Abstract and title are to be announced. The SODAS Data Discussion will take place at SODAS on Zoom on November 20th (NB - new date!) from 11.00 am to 12.00 noon. If you want to attend the event or just want to know more, please write to Katrine Skovdal Herold at Katrine.herold@sodas.ku.dk. " "Women in Economics – Status quo and ways forward ";"Department of Economics";"2020-11-19";"14:00";"2020-11-19";"18:00";"Virtual. Zoom link to come.";"Event organized by the network WinE-DK Women in Economics Denmark.";"Women in Economics – status quo and ways forward is the first event organized by the network WinE-DK Women in Economics Denmark. On this day, we will zoom in on sources for gender imbalances in the economics profession. We will take this evidence, group discussions and expert input as a point of departure for a focus on what we all - students, researchers, management - can do to put diversity in economics on the agenda. Download full programme Key notes Lise Vesterlund, University of Pittsburgh Sarah Smith, University of Bristol With an offset in her central scientific contributions on the subject, Lise will give a research perspective on gender differences in academia. Sarah will draw on her experience as a head of department and talk about what role management can play in addressing gender differences. Group discussions Mette Ejrnæs, University of Copenhagen: ""Women in Economics at the University of Copenhagen - a look at the data"" Group discussions on: Mentoring and networks Career progression in academia Teaching and supervision Institutional factors and the role of management Expert panel on ways forward Welcome by Bente Stallknect, prorector of the University of Copenhagen Nina Smith, Aarhus University David Dreyer Lassen, Independent Research Fund Denmark Mikkel Vedby Rasmussen, dean of the Faculty of Social Sciences at University of Copenhagen Merete Eldrup, Chairman of the board of the University of Copenhagen Sigge Winther, journalist and deputy director of DJØF, will moderate the panel discussion Fill in this form to sign up. Stay tuned with #WinEdk We launch the hashtag #WinEdk during the conference. Follow #WinEdk during the conference and in the future to stay tuned on women in economics. Recorded Sessions Lise Vesterlund (Uni. Of Pittsburgh): Gender imbalance in economics– a research perspective: &amp;amp;amp;lt;p&amp;amp;amp;gt;Din internetbrowser understøtter ikke iframes. Det betyder, at videoen Webinar: Women in Economics – Status quo and ways forward (1/3) ikke kan afspilles.&amp;amp;amp;lt;/p&amp;amp;amp;gt; Sarah Smith (Uni. Of Bristol): What can departments do?: &amp;amp;amp;lt;p&amp;amp;amp;gt;Din internetbrowser understøtter ikke iframes. Det betyder, at videoen Webinar: Women in Economics – Status quo and ways forward (2/3) ikke kan afspilles.&amp;amp;amp;lt;/p&amp;amp;amp;gt; Expert panel: Introduced by Bente Stallknecht (UCPH) and moderated by Sigge Winther: Women in econ research perspectives: Nina Smith Research Council perspective: David Dreyer Lassen Management perspective: Dean Mikkel Vedby Rasmussen UCPH board, experience/lessons from private sector: Merete Eldrup &amp;amp;amp;lt;p&amp;amp;amp;gt;Din internetbrowser understøtter ikke iframes. Det betyder, at videoen Webinar: Women in Economics – Status quo and ways forward (3/3) ikke kan afspilles.&amp;amp;amp;lt;/p&amp;amp;amp;gt; Fill in this form to sign up " "Christian Langholz Carstensen forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-11-16";"16:00";"";"";"CSS 26.2.21";"Christian Langholz Carstensen forsvarer sin ph.d.-afhandling: ""Three Essays on Housing Markets: Price Dispersion, Dynamic Location Choices and Family Investments"".";"""Three Essays on Housing Markets: Price Dispersion, Dynamic Location Choices and Family Investments"" Kandidat Christian Langholz Carstensen Titel ""Three Essays on Housing Markets: Price Dispersion, Dynamic Location Choices and Family Investments"" Tid og sted 16. November 2020 kl. 16:00. Link til at logge på til forsvaret online:https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Lektor Asger Lau Andersen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Jesper Rangvid, CBS, Danmark Professor Nicolai V. Kuminoff, Arizona State University, USA Abstract This thesis consists of three independent chapters concerning investment decisions of households on the housing market. Chapter 1 considers how a local housing market may experience a differentiated development in prices across housing segments in response to a financial contraction. Housing prices in Copenhagen fell the most among homes that were already in the cheapest segments before the onset of the financial crisis of 2007. Furthermore, a close co-movement of housing prices and housing liquidity, measured in time-on-market is observed. Rationalizing these trends requires a non-stationary model that allows for search frictions together with rich heterogeneity among households and homes. To this end, I create an agent-based model which is apt to meet these requirements. When calibrated to the housing market of Copenhagen, the model is able to replicate qualitatively the development in prices and liquidity following the financial crisis of 2007. Chapter 2 is co-authored with Maria Juul Hansen, Fedor Iskhakov, John Rust and Bertel Schjerning. We present a dynamic structural equilibrium model for residential and job location decisions. A central aspect of the model is that households make residential location decisions in tandem with their job location decisions without assuming that job and residence must lie within the same local area. Households are thus implicitly choosing how far to commute. Two other key features are that job location decisions are subject to search frictions and housing prices are simulated in equilibrium. We estimate the model on micro data for the Greater Copenhagen Area and simulate two counterfactual scenarios. One that increases the supply of housing in Central Copenhagen and one that increases travel times between all municipalities. As housing supply is increased locally, prices fall everywhere and urbanization is increased. When travel times increase, housing prices fall in peripheral municipalities, households commute less and more households end up without employment. Chapter 3 considers the phenomenon of parental landlord arrangements in Denmark. A set of tax rules originally intended for self-employed workers benefit parents who purchase an apartment for the sake renting it out to their children. Such an arrangement places parents in an economically interesting trade-off, as it represents an opportunity to reap financial gains while also supporting their children. Therefore, the outcome is telling about the degree of economic altruism of parents. Regressions on investment choices and discounts if a child subsequently buys the apartment show that both motives direct parents’ decisions. In order to illustrate the welfare effects of the current tax rules, I construct a collective model of the decision process. The results suggest that welfare inequality and housing prices increase as a result of the tax rules. " "Pascal Noel, Chicago Booth";"KU - CBS Virtual Macroeconomics Seminar";"2020-11-13";"14:15";"2020-11-13";"15:15";"";"""Wealth, Race, and Consumption Smoothing of Typical Income Shocks"". KU - CBS Virtual Macroeconomics Seminar";"""Wealth, Race, and Consumption Smoothing of Typical Income Shocks"" Abstract We study the consumption response to typical labor income shocks and investigate how these vary by wealth and race. First, we estimate the elasticity of consumption with respect to income using an instrument based on firm-wide changes in monthly pay. While much of the consumption-smoothing literature uses variation in unusual windfall income, this instrument captures the temporary income variation that households typically experience. In addition, because it can be constructed for every worker in every month, it allows for more precision than most previous estimates. We implement this approach in administrative bank account data and find an average elasticity of 0.23, with a standard error of 0.01. This increased precision also allows us to address an open question about the extent of heterogeneity by wealth in the elasticity. We find a much lower consumption response for high-liquidity households, which may help discipline structural consumption models. Please contact Emiliano Santoro for Zoom-link" "Anita Marie Glenny forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-11-09";"10:00";"";"";"";"Anita Marie Glenny forsvarer sin ph.d.-afhandling: ""Essays on Job Search""";"Anita Marie Glenny forsvarer sin ph.d.-afhandling: ""Essays on Job Search"" Kandidat Anita Marie Glenny Titel ""Essays on Job Search"" Tid og sted 9. november 2020 kl. 10:00. Link til at logge på online forsvaret: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Lektor Daniel le Maire, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Andrea Weber, Department of Economics, Central European University Associate Professor Roland Rathelot, Department of Economics, University of Warwick Abstract This dissertation comprises of three independent chapters that individually contribute to research on job search during unemployment. The first chapter ""The Dynamics of Job Search in Unemployment"" is co-authored with Jonas Fluchtmann, Nikolaj Harmon and Jonas Maibom. This paper contributes to current empirical knowledge on dynamic adjustments of job search during unemployment by shedding light on search behavior in terms of the number of applications, search methods used, and characteristics of the jobs that individuals target during their time as unemployed job seekers. We use a novel administrative data set containing actual job applications made by the universe of unemployment insurance recipients in Denmark. This data source is used in all three chapters. Our results show that under prolonged exposure to unemployment, the average individual only marginally changes the types of jobs applied for. We do, however, see moderate adjustment along certain dimensions such as channels used for search. When refocusing our evaluation to identify different groups of unemployed with similar job search behavior, substantial dynamic patterns are revealed for specific groups of unemployed. The following two chapters explore job search behavior in coherence with job search outcomes. The second chapter, ""The Gender Application Gap: Do men and women apply for the same jobs?"", is co-authored with Jonas Fluchtmann, Nikolaj Harmon and Jonas Maibom. We study the extent to which gender differences in the jobs that men and women hold after unemployment are already present in the job search process. We provide first evidence on gender differences in job applications. Across a range of job characteristics there are substantial gender differences in the share of applications going to different types of jobs. These application gender gaps exist even among men and women with the same labor market observables and closely mirror gender gaps in actual hiring outcomes. In particular, women tend to apply for jobs that pay systematically lower wages. Gender differences in applications are capable of explaining more than 70 percent of the wage gap among men and women with the same labor market observables. The third chapter ""Digital Tools to Facilitate Job Search"", is co-authored with Steffen Altmann, Robert Mahlstedt and Alexander Sebald, and finishes off with a nation-wide randomized controlled trial used to study how online job search assistance affects labor market outcomes and job search behavior of unemployed workers. We provide (i) recommendations for potentially promising occupations to consider, (ii) information about the number of available vacancies in occupations that the job seeker already considers, and (iii) both types of information. We find that vacancy information as well as occupational recommendations increase working hours and labor earnings for treated individuals relative to the control group. The effects on improved labor market outcomes of the information treatments are of same order of magnitude. With additional information on job seekers’ registered applications we show how the similar employment effects of occupational recommendations and vacancy information seem to be provoked by different adjustments of job search behavior. While occupational recommendations tend to widen job seekers’ focus towards other occupations, the vacancy information seems to lead job seekers to “zoom in” and consider a narrower set of occupations. For at overvære ph.d.-forsvaret, se venligst link: https://ucph-ku.zoom.us/j/9536476672" "Danial Ali Akbari, LU";"KU - CBS Virtual Macroeconomics Seminar";"2020-11-06";"14:15";"2020-11-06";"15:15";"";"""Shaping Inequality: Progressive Taxation unde Human Capital Accumulation"". KU - CBS Virtual Macroeconomics Seminar";"""Shaping Inequality: Progressive Taxation unde Human Capital Accumulation"" Abstract In order to design optimal policy instruments that shape the distribution of income we require realistic income models. A comparison between popular stochastic processes for income shows that most of them fail to match inequality in the US, especially at the top. The Geometric Brownian Motion with reset, however, produces realistic outcomes at both ends of the distribution, while still permitting clear analytic results. Building on this observation, we develop a micro-founded model for endogenous income inequality that fits the current US evidence. It also permits discussing the welfare effects and trade-offs of tax reforms as individuals adjust their labor supply and human capital accumulation. We extend it in a standard incomplete market setup solved numerically, in which individuals can both form precautionary savings and adjust their labor supply. A calibrated version suggests that the progressivity of US income taxes is below its welfare optimum by around six percentage points. Joint with Thomas Fischer Please contact Emiliano Santoro for Zoom-link" "Bjørn Bjørnsson Meyer forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-11-03";"15:00";"";"";"CSS 25.01.53";"Bjørn Bjørnsson Meyer forsvarer sin ph.d.-afhandling ""Post-secondary Education, Technology and Labor Markets""";"Bjørn Bjørnsson Meyer forsvarer sin ph.d.-afhandling :""Post-secondary Education, Technology and Labor Markets"" Kandidat Bjørn Bjørnsson Meyer Titel ""Post-secondary Education, Technology and Labor Markets"" Tid og sted 3. november 2020 kl. 15:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Lektor Torben Heien Nielsen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Edwin Leuven, Oslo Universitet Professor Christopher Neilson, Princeton Universitetet, US Abstract: This thesis consists of three self-contained chapters in the fields of labor economics and economics of education. The first chapter analyzes the effects of a large scale university reform that mandated higher course loads for Danish university students. I find that the reform increased average course progression by around six percent at the country’s largest university. Furthermore, I use the reform to leverage results on how students respond to mandatory full-time studies at other margins. I find that students forced to study full-time lowered their part-time work hours by one third. I also find evidence of negative impacts on grades and completion of courses from forced full-time studies. In the second chapter, we set up a dynamic choice model describing how various pecuniary and nonpecuniary incentives influence university students’ decisions on part-time work, dropout, and delayed graduation. We estimate the model using Danish register micro data combined with administrative data from the country’s largest university. Counterfactual simulations using the estimated model show that: (i) About half of the average delay in time-to-graduation can be explained by students following economic incentives to prepare for the labor market with work experience. The other half is due to a range of factors, such as income through part-time work and grants and the cost of effort for heavy course load. (ii) Cutting financial aid with one year reduces average time-to-graduation by 0.3 year, but also increases dropout. The chapter is co authored with Patrick Kofod Mogensen. In the third chapter, we study how Artificial Intelligence (AI) relates to college majors. Using new micro data from Denmark, we rank college majors according to whether their graduates work in AI firms. We find that AI cuts through the category of STEM degrees: while computer science and mathematics majors specialize in AI producer firms, we find that the laboratory sciences concentrate in firms that only use AI. We document that AI producer majors earn higher wages, and that these earnings premiums are on the rise. Using an admission cutoff regression discontinuity design, we estimate that the causal earnings effects of higher AI producer relevance are at least as large as suggested by the correlation. The chapter is co-authored with Anders Humlum. For at overvære ph.d.-forsvaret, se venligst link: https://ucph-ku.zoom.us/j/9536476672 " "Davide Debortoli, UPF and Barcelona GSE";"KU - CBS Virtual Macroeconomics Seminar";"2020-10-30";"14:15";"2020-10-30";"15:15";"";"""Understanding the Size of the Government Spending Multiplier: It’s in the Sign"". KU - CBS Virtual Macroeconomics Seminar";"""Understanding the Size of the Government Spending Multiplier: It’s in the Sign"" Abstract This paper argues that an important, yet overlooked, determinant of the government spending multiplier is the direction of the fiscal intervention. Regardless of whether we identify government spending shocks from (i) a narrative approach, or (ii) a timing restriction, we find that the contractionary multiplier – the multiplier associated with a negative shock to government spending – is above 1 and largest in times of economic slack. In contrast, the expansionary multiplier – the multiplier associated with a positive shock – is substantially below 1 regardless of the state of the cycle. These results help understand seemingly conflicting results in the literature. A simple theoretical model with incomplete financial markets and downward nominal wage rigidities can rationalize our findings. (Joint with R. Barnichon and C. Matthes) Please contact Emiliano Santoro for Zoom-link" "DISTRACT seminar w/ Ulrik Lyngs on 30 October";"";"2020-10-27";"";"";"";"";"DISTRACT is hosting a public seminar on Zoom on 30 October 2020.";"DISTRACT is hosting a public seminar on Zoom on 30 October at 11-12. Here, visitor Ulrik Lyngs, PhD in computer science, will present the following: Self-Control in Cyberspace: Examining Tools of Resistance in the Battle for Online Attention Instant access to information, entertainment, and social connection enabled by smartphones and computers provides innumerable benefits, but also unprecedented opportunity for distraction. However, while technology companies have devoted enormous resources to keeping users 'hooked' on digital systems, little is known about how designers can best support people in regaining control over their digital device use. On online stores for apps and browser extensions, however, a market niche has emerged for 'digital self-control tools' where millions of people experiment with tools that, e.g., limit time spent in specific apps or remove distracting website elements. In this talk, I discuss how this landscape, in combination with psychological research on the mechanics of self-control, can be used as a rich resource for understanding how to help people control their allocation of time and attention in digital spaces. Ulrik Lyngs recently defended his DPhil (PhD) thesis in Computer Science from the University of Oxford, and has an interdisciplinary background with an MA in the Study of Religion and Psychology from the University of Aarhus and an MSc in Cognitive and Evolutionary Anthropology from the University of Oxford. His research on challenges of self-regulation in relation to digital device use received the EPSRC (UK research council) Doctoral Prize. Moreover, his collaboration with the Oxford Counselling Service on the 'Reducing Digital Distraction' workshop, which supports students who struggle with digital self-control, was recognised at the MPLS Impact Awards. Ulrik previously worked in London as a producer for the world's largest philosophy and music festival, HowTheLightGetsIn. The link for the Zoom meeting is: https://ucph-ku.zoom.us/j/61137958939." "Peter Lihn Jørgensen, CBS";"KU - CBS Virtual Macroeconomics Seminar";"2020-10-23";"14:15";"2020-10-23";"15:15";"";"""Anchored Inflation Expectations and the Flatter Phillips Curve"". KU - CBS Virtual Macroeconomics Seminar";"""Anchored Inflation Expectations and the Flatter Phillips Curve"" Joint with Kevin Lansing Please contact Emiliano Santoro for Zoom-link" "SODAS Lecture Series: Mixed Methods in The Digital Age";"Copenhagen Center for Social Data Science (SODAS)";"2020-10-23";"11:00";"2020-10-23";"12:30";"Zoom";"At the second SODAS Lecture this fall researcher at the CNRS Centre for Internet and Society Tommaso Venturini will present his work. ";" It has been noted by many that digital data affords new ways of combining data sources and methods, especially across the qualitative and quantitative divide. Many forms of digital data allow the researcher to reconstruct a detailed account of both the context and content of social interaction, while at the same time allowing for inquiry into aggregated patterns at the level of populations. This allows close integration of qualitative and quantitative modes of inquiry -something which has led to excitementaround the social sciences and related disciplines. Social scientists have combined qualitative in-depth text analysis with automated machine learning to make interpretatively valid and large scale inference about the dynamics of culture. Others have combined sensory data from mobile phones together with participant observation to investigate technology use, party sociality and more. These promising new ways of combining methods have jet to be formulated into paradigmatic methodologies and many of the problems and potentials are yet to be unpacked. In this SODAS spring lecture series we have invited a series of speakers to address various aspects of mixing methods in the digital age, through either methodological arguments or exemplar mixed methods studies. Tommaso Venturini will present his work. He is a researcher at the CNRS Centre for Internet and Society. His research focuses on Digital Methods, STS and Visual Network Analysis. On biting off more than you can chew. A question, an example and the beginning of an answer Digital methods have been advertised by several scholars (including myself) for their potential to get over the divide between qualitative and quantitative methods. This crossing, however, has never been easy and quali-quantitative researchers has developed different strategies to tackle this difficulty. Some decided to “go native” and skillfully attuned their research questions to the methodological affordances of the available digital records. Other have preferred to “go meta” and investigate the limits and bias of digital research. These strategies are indubitably judicious, yet they give up (perhaps rightfully, perhaps a bit too quickly) a more ambitious goal of digital social sciences: exploring the deep cultural consequences of large sociotechnical systems. This requires crossing the quali-quantitative gap at its widest, stretching computational approaches over thick anthropological questions. Is this ambitious or just crazy? In my in talk I will address this questions by presenting an ongoing research on digital folklore, attention cycles and platforms infrastructure. The SODAS Data Discussion will take place at SODAS in Zoom from 11.00 am to 12.30 pm. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Yevgeniy Golovchenko defends his PhD thesis";"Department of Political Science";"2020-10-09";"16:00";"2020-10-09";"19:00";"Centre for Health and Society, Entrance from Gammeltoftsgade, building 35, room 35.01.06";"Yevgeniy Golovchenko defends his PhD thesis ""Pro-Kremlin Disinformation on Social Media"".";"Candidate Yevgeniy Golovchenko Title ""Pro-Kremlin Disinformation on Social Media"" The thesis is available as an e-book via Academic books. Time and venue Friday 9 October, 2020 at 16:00 at the University of Copenhagen, Centre for Health and Society, building 35, room 35.01.06. Kindly note that the defence will start precisely at 16:00. Due to corona restrictions only thirty people are allowed to participate in the defence in person. For this reason you must have an official invitation for the defence, please contact the PhD administration: phdcourses@ifs.ku.dk if you have any questions. However the defence will be streamed online on Zoom, and is therefore open to the public. To gain access to the defence on Zoom please use the following link: https://ucph-ku.zoom.us/j/61142917735. Passcode: 916623. Please make sure to turn off your camera and microphone. Assessment committee Professor with special responsibilities Anders Wivel, Department of Political Science, University of Copenhagen (chair) Associate Professor Molly E. Roberts, University of California, USA Professor Sarah Oates, University of Maryland, USA Abstract Russia’s annexation of Crimea in 2014 was followed by a growing public interest in Kremlin’s use of online disinformation abroad. Scholars, authorities and journalists often portray Russia as a powerful agent of state-driven deception, capable of using social media to sway elections and even winning an information war against the West. The purpose of this article-based dissertation is to nuance these views by examining the nature and scope of pro-Kremlin disinformation and counter-disinformation on social media. Through its empirical findings, the dissertation contributes to a debate that is largely driven by theoretical perspectives and journalistic accounts. For this purpose, the dissertation uses methods from computational social science to analyze cases of pro-Kremlin disinformation and counter disinformation. Each dissertation article tied to a historically significant event - from 2014 to 2017 - during the deteriorating relationship between Russia and the West." "Johannes Wohlfart";"KU - CBS Virtual Macroeconomics Seminar";"2020-10-09";"14:15";"2020-10-09";"15:15";"";"""Uncertainty and information acquisition: Evidence from firms and consumers"". KU - CBS Virtual Macroeconomics Seminar";"""Uncertainty and information acquisition: Evidence from firms and consumers"" Abstract We leverage the small open economy Switzerland as a testing ground for basic premises of models of rational inattention. First, we document high levels of information acquisition about the exchange rate compared to the inflation and unemployment rate in samples of both firms and consumers. Second, we provide descriptive evidence that information frictions strongly decline in the stake size of economic decisions involved for firms and consumers, as predicted by models of rational inattention. Third, we show that consistent with a basic premise of rational inattention models, firms' demand for a report about exchange rate developments increases in an exogenously induced increase in the perceived uncertainty of the exchange rate. Households’ information acquisition, however, is inelastic to an exogenous increase in perceived exchange rate uncertainty. Please contact Emiliano Santoro for Zoom-link" "Virtual Data Discussion w/ Hilda Rømer Christensen & Anna Rogers";"Copenhagen Center for Social Data Science (SODAS)";"2020-10-09";"11:00";"2020-10-09";"12:00";"Zoom";"Join us for the second Data Discussion of the fall where Hilda Rømer Christensen and Anna Rogers will present their work.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Associate Professor at Department of Sociology Hilda Rømer Christensen and Postdoc at SODAS Anna Rogers will present their work. Hilda Rømer Christensen works on the TInnGOproject analyzing Google image search results around transportation. Anna Rogers' main research area is Natural Language Processing. She works on interpretability and evaluation of deep learning models, as well as computational social science. Hilda Rømer Christensen: Digital analysis as a research method for studies of transport, mobility and diversity? The aim of this presentation is to present the TINNGO digital analysis as a possible research method for studies of transport, mobility and diversity. The aim has been to explore digital analysis as a new mode of evidence based knowledge production which enables comparative analysis of various gender diversity and transport discourses throughout Europe. More precisely the digital queries throw lights on affiliated networks related to terms such as smart mobility and passenger as well as well as gendered patterns of transport and employment. Moreover it is demonstrated that digital analysis is not an isolated tool, but is in need of interpretation and alignments with conceptual and contextualized analysis. Anna Rogers: Can GPT-3 Use its Vast Knowledge? The chief strength of the current deep-learning-based methods in Natural language processing is their ability to learn from large amounts of textual data; however, it is not clear whether this process can in principle result in human-like verbal reasoning ability. The latest development in scaling these methods is GPT-3, a language model with 175 billion parameters that was trained on 300 billion tokens of text. This work puts to test the reasoning abilities of GPT-3 in the ""few-shot learning"" mode: to what extent can it use the knowledge that it has seen in training? The SODAS Data Discussion will take place at SODAS in Zoom from 11.00 am to 12.00 noon. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "DFI Annual Conference 2020";"Danish Finance Institute and University of Copenhagen";"2020-10-08";"";"";"";"Christian Hansen Auditorium, building 34.0.01, Bartholinsgade 4A, 1353 København K";"The Danish Finance Institute will host its third annual conference on Thursday October 8, 2020 at the University of Copenhagen.";"The Danish Finance Institute will host its third annual conference on Thursday October 8, 2020 at the University of Copenhagen. Please find more information on DFI's event site. " "CIVEO-seminars 2020";"";"2020-10-05";"";"2020-12-07";"";"Zoom";"FAMBUSS is co-organizer of the The CEPR International Virtual Organizational Economics (CIVOE) seminars 2020.";"FAMBUSS is co-organizer of the The CEPR International Virtual Organizational Economics (CIVOE) seminars 2020. The online seminar series draws together scholars with a keen interest in organizational economics, personnel economics and related subjects during the Covid-19 period. Read more about the CIVEO-seminars 2020 and sign up for the mailing list here. There are 3 seminars scheduled in the fall to take place on 5 October, 9 November and 7 December 2020. All seminars will take place on Mondays at 6PM CET/ 5PM London/ 12 pm East Coast/ 11 am Chicago/ 9 am West Coast. Changes to this scheme will be announced on the CIVEO-seminar website. The meetings will take place monthly on Zoom. " "Ralph Luetticke, UCL";"KU - CBS Virtual Macroeconomics Seminar";"2020-10-02";"14:15";"2020-10-02";"15:15";"";"""Financial Frictions: Macro vs Micro Volatility"". KU - CBS Virtual Macroeconomics Seminar";"""Financial Frictions: Macro vs Micro Volatility"" Abstract We examine the impact of frictional financial intermediation in a HANK model. An incentive problem restricts banking sector leverage and gives rise to an equilibrium spread between the returns on savings and debt. The size of this spread impacts on the wealth distribution and movements in it subject borrowers and savers to different intertemporal prices. The model generates a financial accelerator that is larger than in a representative agent setting, derives mainly from consumption rather than investment, and works through a countercyclical interest rate spread. Credit policy can mute this mechanism while stricter regulation of banking sector leverage inhibits households’ ability to smooth consumption in response to idiosyncratic risk. Thus, although leverage restrictions stabilize at the aggregate level, we find substantial welfare costs. Joint with Seungcheol Lee and Morten Ravn Please contact Emiliano Santoro for Zoom-link" "Moritz Schularick, University of Bonn";"KU - CBS Virtual Macroeconomics Seminar";"2020-09-25";"14:15";"2020-09-25";"15:15";"";"""Modigliani meets Minsky: Inequality, Debt, and Financial Fragility in America, 1950-2016"". KU - CBS Virtual Macroeconomics Seminar";"""Modigliani meets Minsky: Inequality, Debt, and Financial Fragility in America, 1950-2016"" Abstract This paper studies the secular increase in U.S. household debt and its relation to growing income inequality and financial fragility. We exploit a new household-level dataset that covers the joint distributions of debt, income, and wealth in the United States over the past seven decades. The data show that increased borrowing by middle-class families with low income growth played a central role in rising indebtedness. Debt-to-income ratios have risen most dramatically for households between the 50th and 90th percentiles of the income distribution. While their income growth was low, middle-class families borrowed against the sizable housing wealth gains from rising home prices. Home equity borrowing accounts for about half of the increase in U.S. household debt between the 1970s and 2007. The resulting debt increase made balance sheets more sensitive to income and house price fluctuations and turned the American middle class into the epicenter of growing financial fragility. Contact person: Søren Hove Ravn" "The Radical Inductiveness of Machine Learning";"Copenhagen Center for Social Data Science (SODAS)";"2020-09-25";"11:00";"2020-09-25";"12:30";"Zoom";"The speaker of the first SODAS Lecture of fall 2020 will be Assistant Professor at Northeastern University, Laura K. Nelson.";" SODAS Lecture Series: Mixed Methods It has been noted by many that digital data affords new ways of combining data sources and methods, especially across the qualitative and quantitative divide. Many forms of digital data allow the researcher to reconstruct a detailed account of both the context and content of social interaction, while at the same time allowing for inquiry into aggregated patterns at the level of populations. This allows close integration of qualitative and quantitative modes of inquiry - something which has led to excitementaround the social sciences and related disciplines. Social scientists have combined qualitative in-depth text analysis with automated machine learning to make interpretatively valid and large scale inference about the dynamics of culture. Others have combined sensory data from mobile phones together with participant observation to investigate technology use, party sociality and more. These promising new ways of combining methods have jet to be formulated into paradigmatic methodologies and many of the problems and potentials are yet to be unpacked. In this SODAS spring lecture series we have invited a series of speakers to address various aspects of mixing methods in the digital age, through either methodological arguments or exemplar mixed methods studies. Laura K. Nelson is an assistant professor of sociology at Northeastern University where she is core faculty at the NULab for Texts, Maps, and Networks, is affiliated faculty at the Network Science Institute, and is on the executive committee for Women’s, Gender, and Sexuality Studies. She was previously a postdoctoral fellow at the Berkeley Institute for Data Science and Digital Humanities @ Berkeley at the University of California, Berkeley, and for the Management and Organizations Department at Northwestern University, where she was also affiliated with the Northwestern Institute on Complex Systems (NICO). She uses computational tools, principally automated text analysis, to study social movements, culture, gender, institutions, and organizations. She has published in Sociological Methods and Research, Sociological Methodology, Oxford University Press, and Springer, among other outlets, and has given talks and workshops on computational methods across the United States and internationally. Abstract Machine learning is often framed in the social sciences as a more sophisticated way to do regression analysis. In this talk I argue that this is an epistemological distortion: the mathematical assumptions behind machine learning are much closer to the epistemology of inductive methods than they are to the deductive requirements of regression analysis. Using examples from my own research, I show that machine learning can not only be used in qualitative and interpretive research, it is, down to its most basic assumptions, a radically inductive method. The SODAS Data Discussion will take place in Zoom from 11.00 am to 12.30 pm." "Gabriel Züllig forsvarer sin ph.d.-afhandling";"Department of Economics UCPH";"2020-09-18";"15:00";"";"";"Department of Economics, UCPH";"Gabriel Züllig forsvarer sin ph.d.-afhandling: ""Empirical Essays in Macroeconomics: Heterogeneous Firms, Workers, and Industries""";"Gabriel Züllig forsvarer sin ph.d.-afhandling :""Empirical Essays in Macroeconomics: Heterogeneous Firms, Workers, and Industries"" Kandidat Gabriel Züllig Titel ""Empirical Essays in Macroeconomics: Heterogeneous Firms, Workers, and Industries"" Tid og sted 18. september 2020 kl. 15:00. Link til at logge på overværelse af forsvaret følger her:https://ucph-ku.zoom.us/j/69539178465 Bedømmelsesudvalg Lektor Niels Johannesen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Lektor Ivan Petrella, Warwick Business School, UK Prof. Mikael Carlsson, Uppsala Universitet, Sverige Abstract: This thesis consists of three self-contained chapters in the field of macroeconomics. The first chapter studies the labor market adjustments to a large reduction in credit supply to firms. I use Danish bank-borrower data and exploit the fact that banks had different exposures to the money-market freeze during the global financial crisis, translating to different levels of credit supply to firms. Businesses without access to internal or external liquidity reduced employment but did not cut their employees’ wages. Instead, they change the composition of their labor force to less expensive workers. Workers with previously high wages take substantial wage cuts in their new job. My findings are consistent with large employment effects of financial shocks and low wage growth well into the recovery. Chapter two, co-authored with Luca Dedola and Mark Strøm Kristoffersen, uses a novel methodology to estimate the structural pass-through of cost shocks to firms’ prices in the Danish PPI. In doing so, our approach accounts and tests for many features present in structural macroeconomic models such as nominal rigidities. We show that the selection bias that a commonly used menu cost model introduces in the estimation is statistically significant, but not economically meaningful. The pass-through of firm-level cost shocks such as to the price of imports is well below one, indicating that firms let mark-ups absorb cost increases in order to preserve market share. We also provide evidence of strategic complementarities between firms. If firms of different sectors are interlinked, shocks to a particular sector will transmit along supply chains to other sectors over time. The third chapter takes this idea to a forecasting exercise. Proposing time series models that incorporate both heterogeneous sectors and their interactions, we let those models compete in a horse race to determine the best forecasts of output. We show that the most accurate model is the one that is best able to understand the degree of sectoral comovement, i.e. to distinguish between sectoral and common shocks. This chapter is co-authored with Gregor Bäurle and Elizabeth Steiner. " "Gene Amromin, Chicago Fed ";"KU - CBS Virtual Macroeconomics Seminar";"2020-09-18";"14:15";"2020-09-18";"15:15";"";"""Passing the Buck: Liquidity, Student Loans, and Who Pays for College"". KU - CBS Virtual Macroeconomics Seminar.";"""Passing the Buck: Liquidity, Student Loans, and Who Pays for College"" Abstract The flow of new student loans increased by 50% between 2007 and 2010, when credit markets were disrupted and home prices fell by a third nationwide. We study whether these facts are related. Using survey and credit bureau data, we find that erosion in parents’ home equity shifted both the financial and real cost of college enrollment to the student. These students carry more student debt, are more likely to work in college, and less likely to have a home or car in early adulthood, although their enrollment decision itself is unaffected. Parents unable to extract home equity spend relatively less on education and accumulate more non-housing wealth. We find no evidence that parents reverse these flows once their home equity wealth rebounds. Since enrollment is unaffected, these findings demonstrate that liquidity partly determines which family members bear the cost of education. This suggests current student loan policy, which directs liquid education financing to students as opposed to parents, may be tilting the obligation of paying for college to younger generations. Joint with Jan Eberly and John Mondragon Contact person: Emiliano Santoro" "Virtual Data Discussion w/ Emil Chrisander & Jonas Lybker Juul";"Copenhagen Center for Social Data Science (SODAS)";"2020-09-18";"11:00";"2020-09-18";"12:00";"Zoom";"Join us for the first Data Discussion of fall 2020. PhD student Emil Chrisander and Postdoc Jonas Lybker Juul will present.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Ph.d. student at Department of Economics Emil Chrisander and Postdoc at Center for Applied Mathematics at Cornell University Jonas Lybker Juul will present their work. Emil Chrisander: Prediction Policy for Matching Mechanisms: The Case of School Choice This paper investigates whether using prediction tools in the classic Deferred Acceptance algorithm can improve match quality. We focus on admission to higher education under the objective of reducing student attrition. We consider two modifications to admission policies using Student Proposing Deferred Acceptance: i) reject matched applicants with high attrition risk ii) apply attrition risk as school priority during matching. We evaluate the efficacy of these policies based on data from the Danish centralized admission mechanism. We conduct counterfactual simulations and evaluate the predictions on subsequent years’ admission data. We show that attrition can be reduced, but only by excluding students with high attrition risk, and we find evidence that enacting these mechanisms lead to systematic redistribution among applicants and schools. While the popular study programs would be able to considerably reduce their attrition rate, because they can pick and choose among the applicants with low attrition risk, it follows that the less popular study programs would see increased attrition. Moreover, we show that applicants from wealthy (poor) families would improve (worsen) their admission likelihood under our proposed prediction policy interventions. Jonas Lybker Juul: What does cascade statistics tell us about the mechanisms behind the diffusion of online content? How do false news and true news diffusion differ? Politics news vs. non-political news? Visual vs. written content? With the main data record of information diffusion being diffusion cascades – a collection of timestamped, directed, rooted trees – statistical network analysis is the primary toolkit for answering such questions rigorously. By studying the structure of these tree collections, one hopes to understand how different content spreads. In this work, we show the importance of the joint distribution of statistical properties of such trees in any analysis, both through an empirical analysis of false/true news cascades and through the analysis of a motivating model. The SODAS Data Discussion will take place at SODAS in Zoom from 11.00 am to 12.00 noon. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk. " "Giovanni Ricco, Warwick University";"The Department of Economics";"2020-09-17";"16:00";"2020-09-17";"17:15";"";"""The global transmission of US monetary policy"". Seminar arranged by the Department of Economics";"""The global transmission of US monetary policy"" Abstract This paper studies the transmission of US monetary shocks across the globe by employing a high-frequency identification of policy shocks and large VAR techniques, in conjunction with a large macro-financial dataset of global and national indicators covering both advanced and emerging economies. Our identification controls for the information effects of monetary policy and allows for the separate analysis of tightenings and loosenings of the policy stance. First, we document that US policy shocks have large real and nominal spillover effects that affect both advanced economies and emerging markets. Policy actions cannot fully isolate national economies, even in the case of advanced economies with flexible exchange rates. Second, we investigate the channels of transmission and find that both trade and financial channels are activated and that there is an independent role for oil and commodity prices. Third, we show that effects are asymmetric and larger in the case of contractionary US monetary policy shocks. Finally, we contrast the transmission mechanisms of countries with different exchange rates, exposure to the dollar, and capital control regimes. Contact person: Christian Schultz " "CopenhagenMacro Days 2020";"Department of Economics UCPH";"2020-09-14";"";"2020-09-16";"";"";"Virtual Conference, 14-15-16 September 2020";"Danmarks Nationalbank, the University of Copenhagen and VMACS – Virtual Macro Seminars will host the CopenhagenMacro Days, a series of events bringing together leading researchers, junior scholars and experts from the policy community in the field of macroeconomics, macro-labor, macro-finance and international economics." "Rachel Ngai, LSE";"KU - CBS Virtual Macroeconomics Seminar";"2020-09-11";"14:15";"2020-09-11";"15:15";"";"""A multisector perspective on wage stagnation"". KU - CBS Virtual Macroeconomics Seminar";"""A multisector perspective on wage stagnation"" Joint with Orhun Sevinç Contact person: Emiliano Santoro" "Meltem Daysal, Odensen Universitet";"Department of Economics";"2020-09-08";"14:00";"2020-09-08";"15:15";"";"""Spillover Effects of Early-Life Medical Interventions"". Seminar arranged by the Department of Economics.";"""Spillover Effects of Early-Life Medical Interventions"" Abstract We investigate the spillover effects of early-life medical treatments on the treated children and their families. We use a regression discontinuity design that exploits changes in medical treatments across the very low birth weight (VLBW) cutoff. Using administrative data from Denmark, we find improvements in the short-term mental health of the mothers and in the 9th grade test scores of the siblings of children slightly below the VLBW cutoff. Our results suggest that focal child survival and health are both drivers of the improvement in maternal mental health, and that the sibling test score spillovers are due to improved interactions within the family and to parentalcompensating behavior. Keywords: Medical care, birth, children, schooling, spilloversJEL Classifications: I11, I12, I18, I21, J13 Contact person: Christian Schultz" "Anne Lundgaard Hansen forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2020-06-22";"10:00";"";"";"Økonomisk Institut, UCPH";"Anne Lundgaard Hansen forsvarer sin ph.d.-afhandling :""Yield Curve Dynamics: Persistence, Volatility, and the Real Economy""";"Anne Lundgaard Hansen forsvarer sin ph.d.-afhandling :""Yield Curve Dynamics: Persistence, Volatility, and the Real Economy"" Kandidat Anne Lundgaard Hansen Titel ""Yield Curve Dynamics: Persistence, Volatility, and the Real Economy"" Tid og sted 22. juni 2020 kl. 10:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Lektor Rasmus Søndergaard Pedersen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Prof. Frederique Bec, Professeur des Universités Cergy-Pontoise, Frankrig Prof. Giuseppe Cavalière, Universitet Bologna, Italien Abstract: This thesis addresses key challenges for modeling and interpreting yield curve dynamics. Through three self-contained chapters, I present new methodologies and empirical insights related to the time-series properties of bond yields and risk factors in bond markets. In Chapter 1 (“Modeling Persistent Interest Rates with Volatility-Induced Stationarity”), I develop a model with volatility-induced stationarity that can capture the persistence in interest rates. Chapter 2 (“Yield Curve Volatility and Macroeconomic Risk”) demonstrates the importance of accounting for time-varying volatility when attributing variation in the yield curve to macroeconomic shocks. Finally, I present in Chapter 3 (“A Joint Model for the Term Structures of Interest Rates and Realized Volatility”) a joint framework for modeling the yield curve and the realized yield covariance matrix. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Charlotte.Jespersen@econ.ku.dk" "Kasper Brandt forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2020-06-19";"13:00";"";"";"Økonomisk Institut, UCPH";"Kasper Brandt forsvarer sin ph.d.-afhandling på Økonomisk Institut: ""Essays in Development Economics: Human Capital and Armed Conflicts""";"Kasper Brandt forsvarer sin ph.d.-afhandling ""Essays in Development Economics: Human Capital and Armed Conflicts"" Tid og sted 19. juni 2020 kl. 13:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Lektor Thomas Markussen, Økonomisk Institut, Københavns Universitet, Danmark (formand Research Director Lant Pritchett, Oxford Blavatnik School of Government , UK Professor Patricia Justino, UNU-WIDER, Finland Abstract This thesis comprises four self-contained chapters in the field of development economics. The first chapter estimates a private school learning premium in Tanzania, using unique administrative data on national exams in primary and secondary school for 635,000 students. A value-added model compares secondary school exam scores for students with the same primary school exam scores from the same primary school in the same year. The model further controls for peer effects and unobserved ability. On average, private schools improve exam scores by 0.54 standard deviations in two years. An instrumental variable model suggests the effect is causal. The second chapter takes the analysis of the private school learning premium to the district level to account for potential spillover effects. The chapter aggregates individual-level test scores of Kenyan primary school children to the district-cohort-year level, and employs a system generalized method of moments estimator to study the effects of private school enrolment on average latent ability. The results suggest a substantial positive impact on learning from private school enrolment. A 10 percentage point increase in the proportion of children enrolled in private schools is expected to improve average latent ability in a district-cohort by 0.11 of a standard deviation. The third chapter evaluates a fee-free secondary school reform in Tanzania. Using variation in district and cohort exposure to the reform, we employ a difference-in-differences strategy to estimate the short-term impacts of the reform. The reform substantially increased enrolment into secondary education. While these enrolment effects were predominantly driven by an increase in public school enrolment, there was also a delayed positive effect on private school enrolment. Districts mostly affected by the reform experienced a significant drop in exam scores relative to less affected districts, which cannot be explained by academic abilities of new students. These findings are in line with a theoretical model on school choice, where some individuals are credit-constrained and increased enrolment harms public school quality. The fourth chapter estimates a measure of state capacity at the 2.5×2.5 arc-minutes grid cell level (≈ 5 kilometers) for Sub-Saharan Africa. The measure builds on geocoded survey-based data on local state capacity, which we predict and extrapolate using an ensemble of regression trees. We demonstrate the usefulness of measuring state capacity at a disaggregated level by including our local state capacity index as a moderating factor in the relationship between oil wealth and armed conflict. The findings suggest that cells with higher local state capacity face lower risks of conflicts caused by oil price hikes. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Charlotte.Jespersen@econ.ku.dk" "Virtual SODAS Data Discussion w/ Jonas Toubøl & Anna Sapienza";"Copenhagen Center for Social Data Science (SODAS)";"2020-06-19";"11:00";"2020-06-19";"12:00";"Zoom";"Join the fourth virtual SODAS Data Discussion of spring 2020. Jonas Toubøl and Anna Sapienza will present their work.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Postdoc at Department of Sociology, Jonas Toubøl, will present their work. Jonas Toubøl is a Postdoc at Department of Sociology, University of Copenhagen, where he also obtained his PhD on the mobilization of the Danish refugee solidarity movement. His research interests covers political sociology, social stratification and mixed methods research designs, especially social movements, and class, as well as triangulation of social media content data with, survey, qualitative and other data sources. Jonas Toubøl is followed by Anna Sapienza, who is a newly hired Postdoc at SODAS/DISTRACT. Jonas Toubøl: Bringing Social Context back in: Enriching Survey with Measures of Social Interaction from Social Media Content Data This talk present research carried out in collaboration with Hjalmar Bang Carlsen and Snorre Ralund that addresses the classical problem in survey methodology of measuring respondent context. We demonstrate the utility of combining individual survey data with social media content data in order to analyze how social context influences individual behavior. Lack of valid and reliable measures of the contexts of social interaction individuals are embedded in has remained an Achilles heel of the survey method. The reason is that collection of direct observation of social interaction requires qualitative analysis of the context, which, hitherto, is too costly to collect on a large scale. Instead, researchers have resorted to indirect measures of aggregate group composition, respondent reports of social context and institutional accounts. However, with the recent advent of social media data, contemporary social scientists have social interaction data at an unprecedented scale. To utilize this data for quantitative analysis researchers have to transform text prose into good measurement. We combine qualitative content analysis and supervised machine learning in order to insure both semantic validity and accuracy in our measure of social interaction and test its substantial performance in predicting individual political participation in collective action. Finally, the talk also addresses how contexts and individuals can be effectively sampled using Facebook groups. Carlsberg Foundation funded Toubøl's research as part of the project Mobilization in the era of social media: Introducing the decisive role of group level factors. Anna Sapienza: Escape from Covid Island: how online gaming is becoming our getaway from the pandemic. The last few months of social-distancing have forced all of us to escape from the self-isolation caused by the COVID-19 pandemic by finding new and innovative ways of gathering and socialising. Among all these activities there is one that is attracting more and more people every day: online gaming. This is an extraordinary moment for games, which have become even more popular as people are re-discovering their favourite games to make up for the loss of physical entertainment that self-isolation is causing. The gaming industry has indeed recorded a staggering boost in the online activity of players from all over the world. In this talk, I will present a preliminary study based on Steam, a well-known video game digital distribution service by Valve. Thanks to Steam’s open API, its up-to-date community news and several third-party tools, that track the activity of players online, we can have a close look at what happened during the lockdown. The main goal is to understand what are the different patterns of activity and identify the games that had a key role in the rise of online gaming. The SODAS Data Discussion will take place at SODAS in Zoom from 11.00 am to 12.00 noon. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Virtual SODAS Data Discussion w/ Kristian Hoeck, Emilie M. Gregersen, Sofie L. Astrupgaard & Malene H. Jespersen";"Copenhagen Center for Social Data Science (SODAS)";"2020-05-29";"11:00";"2020-05-29";"12:00";"Zoom";"Join us for the second virtual SODAS Data Discussion where PhD student Kristian Hoeck will present his work followed by Academic Research Assistant Emilie M. Gregersen and Student Assistants Sofie L. Astrupgaard and Malene H. Jespersen.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. PhD student from University of Manchester, Kristian Hoeck, will present his work. He is followed by Academic Research Assistant Emilie M. Gregersen and Student Assistants Sofie L. Astrupgaard and Malene H. Jespersen. Kristian Hoeck: Humanoid robots: Models of the human or modelling the human? How are the humanoid robots at Intelligent Robotics Laboratory (IRL) used as, what professor at IRL Hiroshi Ishiguro calls models of the human? In this short talk, based on material from one year of ethnographic fieldwork at IRL, I will present examples of the ways that the human is used as model and how the human is being modelled in embodied robotic form. We will meet the android child robot ibuki, modelled over the anatomy of a ten-year-old boy; and the gynoid, Erica modelled on the ‘statistically average’ beauty ideal for a young woman. With these two android I will ask: In which ways does the basis for the model and the technological approach in itself inform the object of study: The social human. Emilie M. Gregersen, Sofie L. Astrupgaard and Malene H. Jespersen: Lockdown ethnography: Using logbooks, self-reporting and emojis to study routines during the corona crisis How can one study people’s daily lives and routines from the comfort and limitations of one’s home office? The current COVID-19 situation has challenged the classic ethnographic fieldwork approach, forcing us to explore new ways of obtaining in-depth, or ‘thick’ data, about our objects of study. In this presentation we outline our so-called ‘logbook study’ which aims to measure small changes in young people’s everyday lives over time by asking them to self-report daily data on sleeping routines, socialization patterns and screen-time usage over a period of four weeks. The logbooks included small diary entries, survey questions, emotion logging in the form of emojis, and were complemented with in-depth interviews. We will present our experiences with working at the intersection between qualitative and quantitative methods by addressing questions such as: What are the strengths and weaknesses in using self-reporting and emojis as a method to explore daily routines? How does the structure of our logbook shape the type of data we get? How do we standardize qualitative data-gathering and analysis when several anthropologists work together? The SODAS Data Discussion will take place in Zoom from 11.00 am to 12.00 noon. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Økonomisk Eksploratorium #12 Arbejdsmarkedet - POSTPONED";"";"2020-05-28";"16:00";"";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Arbejdsmarkedet";"Økonomisk Eksploratorium#12 ArbejdsmarkedetTorsdag den 28. maj kl. 16-18 i CSS, 26.3.21 (Frokoststuen) Hvordan går det med løn-uligheden i Danmark? Tager robotterne over? Hvordan øger vi jobsøgernes chancer på arbejdsmarkedet? Ved semestrets sidste eksploratorium samler vi forskere fra forskellige økonomiske discipliner for at blive klogere på arbejdsmarkedet. Du møder Alexander Sebald, Morten Graugaard Olsen og Johan Sæverud. ---------------------------------------------------------------------------------- Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Hvert semester afholder vi et månedligt arrangement med et tema, som tager afsæt i aktuel forskning på instituttet.Med arrangementerne åbner vi dørene ind til ind forskningsmiljøet og viser hvordan økonomi bliver brugt i samfundet. Økonomisk Eksploratorium er for studerende, ansatte og alle andre med interesse i økonomi. Det er muligheden for at møde vores forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium foregår på en niveau, hvor alle kan være med og hvor der er plads til spørgsmål og dialog. Instituttet sørger for rigelige mængder kaffe og kage. Vi glæder os til at se dig! Bedste hilsner Jane & Susanne - på vegne på instituttet og Politrådet " "David Weil, Brown University - CANCELLED";"Department of Economics";"2020-05-27";"";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Seminar arranged by the Department of Economics";"David Weil" "SODAS Lecture Series: Mixed Methods in The Digital Age";"Copenhagen Center for Social Data Science (SODAS)";"2020-05-19";"11:00";"2020-05-19";"12:30";"CSS, room 1.2.26";"";" It has been noted by many that digital data affords new ways of combining data sources and methods, especially across the qualitative and quantitative divide. Many forms of digital data allow the researcher to reconstruct a detailed account of both the context and content of social interaction, while at the same time allowing for inquiry into aggregated patterns at the level of populations. This allows close integration of qualitative and quantitative modes of inquiry -something which has led to excitementaround the social sciences and related disciplines. Social scientists have combined qualitative in-depth text analysis with automated machine learning to make interpretatively valid and large scale inference about the dynamics of culture. Others have combined sensory data from mobile phones together with participant observation to investigate technology use, party sociality and more. These promising new ways of combining methods have jet to be formulated into paradigmatic methodologies and many of the problems and potentials are yet to be unpacked. In this SODAS spring lecture series we have invited a series of speakers to address various aspects of mixing methods in the digital age, through either methodological arguments or exemplar mixed methods studies. Title, abstract and presentation to be announced." "Jonas Lau-Jensen Hirani forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2020-05-18";"13:00";"";"";"";"Jonas Lau-Jensen Hirani forsvarer sin ph.d.-afhandling ""Universal Child Policies, Child Development and Parental Behavior""";"Jonas Lau-Jensen Hirani forsvarer sin ph.d.-afhandling ""Universal Child Policies, Child Development and Parental Behavior"" Kandidat Jonas Lau-Jensen Hirani Titel ""Universal Child Policies, Child Development and Parental Behavior""Tid og sted 18. maj 2020 kl. 13:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/64530315257 Bedømmelsesudvalg Lektor Casper Worm Hansen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Aline Bütikofer, Norwegian School of Economics, Norge Professor Emma Tominey, University of York, UK Abstract: This dissertation consists of four self-contained chapters. Each chapter can be read independently but jointly they contribute to the understanding of the interactions between parental behavior and public policies in shaping child development. Chapter 1 studies one of the first universal child policies in Denmark, which was a family planning program introduced in 1939 as a political response to decades of declining fertility and widespread use of illegal abortions. The results show that access to family planning increased non-marital fertility while marital fertility was unaffected. Chapter 2 investigates the contemporary nurse home visiting program for infants in Denmark. Using a national nurse strike in 2008, the chapter studies how the timing of nurse visits impacts child and maternal health. The findings show that earlier nurse visits are relatively more influential for child and maternal health. Chapter 3 studies parental responses to vaccination reminder letters in the Danish Childhood Vaccination Program. While reminder letters positively affect adherence, 72 % of non-adherent parents are non-responsive to reminders. This finding indicates that reluctance, and not inattention, is the leading cause for non-adherence in this setting. Chapter 4 explores the interaction between the nurse home visiting program and other preventive care programs for infants in Denmark. Specifically, the chapter studies if nurses during home visits encourage parental health investments measured as take-up of vaccinations and GP health checks. The chapter provides evidence that parents are more likely to receive timely vaccinations if they receive a nurse visit at the recommended age for vaccinations indicating that nurses encourage timely take-up of vaccines. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Charlotte.Jespersen@econ.ku.dk" "Virtual SODAS Data Discussion w/ Kristoffer Albris, Morten Axel Pedersen & Anders Blok";"Copenhagen Center for Social Data Science (SODAS)";"2020-05-15";"11:00";"2020-05-15";"12:00";"Zoom";"Join us for the first Virtual SODAS Data Discussion of the spring semester where Kristoffer Albris and Morten Axel Pedersen will present their work on the DISTRACT project. They are followed by Anders Blok who will tell about green communities in the cities. ";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Assistant Professor at Department of Anthropology, Kristoffer Albris, and Deputy Director of SODAS and Professor of Anthropology, Morten Axel Pedersen, will present to us their work on the ERC funded project, DISTRACT. They are followed by Associate Professor at Department of Sociology, Anders Blok, who will present his work on green communities in the cities. Morten Axel Pedersen & Kristoffer Albris: DISTRACT: Combining Data Science and Social Science Methods and Research Techniques In this data discussion we will present the newly started ERC project DISTRACT – The Political Economy of Distraction in Digitized Denmark. While the substantial aspect of the project concerns the ever more alluring distractions of human attention in the age of smartphones and other digitized technologies, this presentation will focus on the project’s methodological aspirations, namely to combine data science tools and established social science forms of analysis. We present the four subprojects that make up DISTRACT, and how they each attempt to employ methods and research techniques from the quali-quant continuum. Anders Blok: The place of greening: comparing civic engagement scenes of urban natures in Denmark via digital methods In this paper, we deploy digital methods to map out the engagement styles, inter-group co-engagement networks, and wider socio-geographical value landscapes of 130 grassroots- and volunteer-based urban green communities across the four largest cities in Denmark: Aalborg, Odense, Aarhus, and Copenhagen. In doing so, we develop the concept of ‘civic engagement scenes’, in dialogue with recent moves in cultural and political sociology meant to capture different patterns of civic coordination, adding to this a specific interest in how such civic styles give rise to particular patterns of material, emplaced, and socio-spatial co-engagement. This descriptive analysis, we argue, in turn help forge new comparative hypotheses as concerns the key factors involved in producing specific civic urban nature agendas in specific cities, hence aiding in attempts to specify key varieties of civic urban natures and their forms of governance. The SODAS Data Discussion will take place in Zoom from 11.00 am to 12.00 noon. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Økonomisk Eksploratorium - Corona Special # 2";"Økonomisk Institut";"2020-05-14";"16:00";"";"17:00";"Zoom: https://ucph-ku.zoom.us/j/64581422488";"";" Vi måtte lukke ned for programmet for foråret, allerede inden vi fik skudt det i gang på grund af Coronakrisen. Til gengæld har vi kastet os over studier i Coronakrisens samfundsmæssige konsekvenser, og vi deler vores viden. Vi har lancerer derfor nu Økonomisk Eksploratorium - Corona Special. Vi har afholdt #1 og nu er vi klar med nummer #2: ØKONOMISK EKSPLORATORIUM - CORONA SPECIAL #2 14 maj 16:00 - 17:00. På Zoom via det her link: https://ucph-ku.zoom.us/j/64581422488 Niels Johannsen, Asger Lau Andersen, Adam Sheridan, Emil Toft Hansen: Consumer responses to the Covid-19 crisis. Evidence from bank account transaction data Martin Gonzales Eiras: The optimal lockdown during an epidemic Paolo Falco og Sarah Zaccagni: Promoting social distancing in the time of COVID-19: Beyond the Good Intentions Vi deler viden men skærer kagen fra Vi ville ønske vi kunne bringe kaffe og kage til alle deltagere som vi plejer, når I er med i Økonomisk Eksploratorium. Men det bliver alligevel for kompliceret. Til gengæld deler vi helt frisk viden om den nyeste forskning i Corona-krisens indvirkning på samfundet." "Morten Bennedsen, University of Copenhagen";"ØI Virtual Covid-19 Seminar ​arranged by the Department of Economics";"2020-05-07";"11:45";"2020-05-07";"12:30";"Via Zoom - Contact Casper Worm Hansen for a Zoom link to this seminar";"""COVID19: Firm consequences and crisis management. Survey evidence from Danish small and medium sized enterprises"". Seminar arranged by the Department of Economics";"""COVID19: Firm consequences and crisis management. Survey evidence from Danish small and medium sized enterprises​"" Via Zoom - Contact Casper Worm Hansen for a Zoom link to this seminar" "Sonja Settele, University of Copenhagen";"ØI Virtual Covid-19 Seminar ​arranged by the Department of Economics";"2020-05-07";"11:00";"2020-05-07";"11:45";"Via Zoom - Contact Casper Worm Hansen for a Zoom link to this seminar";"""Cost-Benefit Considerations and the Support for Public Health Measures: Evidence from the Covid-19"". ØI Virtual Covid-19 Seminar ​arranged by the Department of Economics ";"""Cost-Benefit Considerations and the Support for Public Health Measures: Evidence from the Covid-19"" Abstract We study the extent to which individuals take into account the perceived economic costs and health benefits of a ``lockdown'' of economic activity when forming their preferences about the optimal degree and duration of such interventions in the context of the Covid-19 crisis. In a large-scale online survey experiment, with a representative sample of the US population of more than 8,000 respondents, we induce exogenous variation in the perceived economic costs of shutting down the economy based on a randomized information treatment. In addition, we vary the assumed health benefits of shutdowns in an orthogonal treatment condition, by presenting the survey respondents with randomized (hypothetical but realistic) future scenarios under which longer durations of lockdowns are associated with fewer projected Covid-19 fatalities. Our evidence suggests that individuals indeed trade off perceived costs and benefits between the economic and the health domain, suggesting a potentially powerful role for information campaigns in generating support for non-pharmaceutical interventions to mitigate the spread of the virus. Via Zoom - Contact Casper Worm Hansen for a Zoom link to this seminar " "Adam Sheridan, Department of Economics";"ØI Virtual Covid-19 Seminar ​arranged by the Department of Economics";"2020-04-30";"11:00";"2020-04-30";"11:45";"Via Zoom - Contact Casper Worm Hansen for a Zoom link to this seminar";"""Consumer Reponses to the COVID-19 Crisis: Evidence from Bank Account Transaction Data"". ØI Virtual Covid-19 Seminar ​arranged by the Department of Economics";"""Consumer Reponses to the COVID-19 Crisis: Evidence from Bank Account Transaction Data"" Abstract This paper uses transaction-level customer data from the largest bank in Denmark to estimate consumer responses to the COVID-19 pandemic and the partial shutdown of the economy. We find that aggregate card spending has dropped sharply by around 25% following the shutdown. The drop is mostly concentrated on goods and services whose supply is directly restricted by the shutdown, suggesting a limited role for spillovers to non-restricted sectors through demand in the short term. The spending drop is somewhat larger for individuals more exposed to the economic risks and health risks introduced by the COVID-19 crisis; however, pre-crisis spending shares in the restricted sectors is a much stronger correlate of spending responses. Via Zoom - Contact Casper Worm Hansen for a Zoom link to this seminar " "Rasmus Bisgaard Larsen forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2020-04-28";"15:00";"";"";"";"Rasmus Bisgard Larsen forsvarer sin ph.d.-afhandling ""Essays in Macroeconomics: Consumption Behavior, Price Dynamics, and Fiscal Spending""";"Rasmus Bisgard Larsen forsvarer sin ph.d.-afhandling ""Essays in Macroeconomics: Consumption Behavior, Price Dynamics, and Fiscal Spending"" Kandidat Rasmus Bisgaard Larsen Titel ""Essays in Macroeconomics: Consumption Behavior, Price Dynamics, and Fiscal Spending"""".Charlotte.Jespersen@econ.ku.dk Tid og sted 28. april 2020 kl. 15:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Professor Søren Leth-Petersen, Økonomisk Institut, Københavns Universitet, Danmark (formand) Lektor Céline Poilly, Universitet Aix-Marseille Lektor Luigi Paciello, EIEF Abstract: This thesis consists of three self-contained chapters in the field of macroeconomics. The first chapter studies the effects of households’ income on the quality of their purchases using household-level scanner data. By exploiting the randomized disbursement timing of the Economic Stimulus Payments of 2008, we show that households not only increase their spending but also tilt spending toward products of higher quality when they receive a temporary transfer of money. In addition, we document that consumption responses are heterogeneous across the income distribution. We build and calibrate a buffer-stock model, which rationalizes these consumption patterns. The chapter is co-authored with Christoffer Jessen Weissert. The second chapter investigates how regional changes in government spending affect local retail prices by using retail scanner data from the United States. I estimate the effects of spending components from the American Recovery and Reinvestment Act of 2009 and Department of Defense contracts. Estimates from both sources show that retail prices respond positively to an increase in government spending. I provide evidence, which indicate that this cannot be accounted for by changes in retailers’ marginal costs. The third chapter provides evidence indicating that U.S. house prices increase in the face of positive shocks to government spending. This response is not consistent with the predictions by a large variety of dynamic stochastic general equilibrium models. To address this problem, we devise and estimate a model with endogenous firm entry and love of variety effects. These features generate increasing returns to scale, which enables the model to generate an increase in house prices after a positive shock to government spending. The chapter is co-authored with Søren Hove Ravn and Emiliano Santoro. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Charlotte.Jespersen@econ.ku.dk " "Virtual SODAS Pop-up Talk w/ Robert Dorschel";"Copenhagen Center for Social Data Science (SODAS)";"2020-04-28";"11:00";"2020-04-28";"12:00";"Zoom";"Virtual SODAS Pop-up Talk with PhD student at the Department of Sociology and member of Darwin College at the University of Cambridge, Robert Dorschel. ";" Robert Dorschel is a PhD candidate at the Department of Sociology and member of Darwin College at the University of Cambridge. He conducts research in the fields of labour, culture and social theory. His dissertation focuses on the class of digital professionals. Deploying qualitative methods, he analyses the social practices and identities of tech workers and entrepreneurs in the European digital economy. The Ambivalent Construction of Data Scientists: Discovering the World of Digital Professionals So far, few sociological inquiries have been undertaken into the labour market segments of high-skilled digital professionals. This talk explores the rising profession of data scientists through the eyes of the economic and academic field. Based on a discourse analysis of data science job ads and study programs, I will address the question of how data scientists are externally constructed. In recurrence to the social theories of Bourdieu and Foucault, I will argue that the academic and economic discourses on data science follow a social logic of ambiguity. The discursive field is structured by different as well as common imaginations of what kind of subjects data scientists ought to be. The discursive ambiguity is then not interpreted as a weak spot but rather as a strategic advantage of data scientists vis-à-vis competing occupations. It is argued that ambiguity serves as a form of capital in the wake of digital transformations. The talk will conclude with a contextualisation of data scientists within the wider labour market segment of digital professionals. The virtual SODAS Pop-up Talk will take place at SODAS in Zoom from 11:00 am - 12:00 noon Tuesday the 28th of April 2020. If you want to attend the event or just want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk " "CANCELLED:Økonomisk Eksploratorium #11 Direkte indflydelse i råd og kommissioner";"Økonomisk Institut og Politrådet ";"2020-04-23";"16:00";"";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Direkte indflydelse i råd og kommissioner";"Økonomisk Eksploratorium#11 Direkte indflydelse i råd og kommissionerTorsdag den 23. april kl. 16-18 i CSS, 26.3.21 (Frokoststuen) De er med til at sætte kursen på beslutninger i dansk politik. Deres faglighed er stærk og derfor trækkes de ind i råd og kommissioner. De har titlerne Overvismand, Formand for Konkurrencerådet, Særlig sagkyndig i det Miljøøkonomiske Råd og Medlem af Ydelseskommissionen. Mød Carl-Johan Dalgaard, Christian Schultz, Mogens Fosgerau og Mette Ejrnæs til en snak om hverdagen i magtens korridorer. ---------------------------------------------------------------------------------- Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Hvert semester afholder vi et månedligt arrangement med et tema, som tager afsæt i aktuel forskning på instituttet.Med arrangementerne åbner vi dørene ind til ind forskningsmiljøet og viser hvordan økonomi bliver brugt i samfundet. Økonomisk Eksploratorium er for studerende, ansatte og alle andre med interesse i økonomi. Det er muligheden for at møde vores forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium foregår på en niveau, hvor alle kan være med og hvor der er plads til spørgsmål og dialog. Instituttet sørger for rigelige mængder kaffe og kage. Vi glæder os til at se dig! Bedste hilsner Jane & Susanne - på vegne på instituttet og Politrådet" "Essay-konkurrence - Corona set med økonomifaglige briller";"Initiativtager og tovholder er Kristian Engberg. Han er 4. semesterstuderende på Institut for Antropologi. Send ide/titel til kws217@alumni.ku.dk ";"2020-04-21";"";"2020-07-01";"";"Dit hjemme-Corona-kontor";"KONKURRENCE: få udgivet dit essay om Coronakrisen set gennem dine faglige briller og vind et legat på 3.000 kr. ";"KONKURRENCE: få udgivet dit essay om Coronakrisen set gennem dine faglige briller og vind et legat på 3.000 kr. Midt i Coronakarantænen har et studenterinitiativ spredt sig på Københavns Universitet. Essay-konkurrencen ”Corona set med faglige briller” er også nået til os på Økonomisk Institut. ”Studieleder Thomas Markussen udlodder 3.000,- til en pris til den bedste essayskriver. ”Der er en lang række økonomiske aspekter af corona krisen, som trænger til at blive belyst, og med denne essaykonkurrence håber jeg at vi kan indhente en masse spændende overvejelser fra vores mere end 2,000 studerende”, siger studieleder Thomas Markussen. Rektor Henrik Wegner støtter også studenterinitiativet, der skal munde ud i en essaysamling, hvor vi håber alle KUs fagligheder vil være repræsenteret. ”Der er ingen tvivl om, at både studerendes gode idéer, refleksioner og kompetencer sammen med forskningen kommer til at spille en stor rolle i samfundet nu og på den anden side af corona-epidemien,” siger Henrik Wegner Initiativtager og tovholder er Kristian Engberg. Han er 4. semesterstuderende på Institut for Antropologi: ”Vi er alle sammen midt i et stykke Danmarkshistorie, vi endnu ikke aner hvor ender. Lad os sammen skrive dette kapitel, mens det hele sker rundt om ørerne på os – jeg kan ikke finde mere fantastisk motivation til at spidse pennen,” siger han og understreger, at tanken ikke er streng videnskabelighed eller strikse formkrav. ”Det vigtige er, at du bringer din faglighed i spil – og det kan du sagtens gøre uden en formel indledning med problemformulering, analyse, diskussion, konklusion og litteraturliste. Du er naturligvis velkommen til at gribe opgaven an som et eksamensessay – men kan også blot skrive frit fra leveren. Uvidenskabelige, causserende og subjektive bidrag er særdeles velkomne” siger Kristian Engberg. Hvad kræver det? Essayets omfang Op til 13.000 anslag (inkl. mellemrum)Ingen minimumskrav, da et essay sagtens kan være alt fra en skarp observation over en velformuleret strøtanke til en dyberegående analyse. Formelle krav Du er velkommen til at inkludere en litteraturliste, men det er ikke et krav. Essayet er ikke strengt videnskabeligt, men i lige så høj grad din egen analyse og refleksioner. Tilmelding + pitch Send ide/titel til kws217@alumni.ku.dk For at undgå flere essays om præcist samme emne, beder vi dig vende din ide til emnet eller overskriften med redaktionen. Hvem kan deltage? Alle studerende på KU kan deltage. Og derfor er du, som er polit-studerende, inviteret til at deltage. Dommerkomité Den ligger ikke helt fast endnu. Vi arbejder på sagen. Deadline, final essay 1. juli 2020Send dit essay til kws217@alumni.ku.dkHerefter sendes indsendte essays i anonymiseret form til dommerkomiteen. " "Frederik Plesner Lyngse forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2020-04-16";"13:00";"";"";"Økonomisk Institut";"Frederik Plesner Lyngse forsvarer sin afhandling: ""Essays in Health Economics: Supply and Demand"".";"Frederik Plesner Lyngse forsvarer sin afhandling: ""Essays in Health Economics: Supply and Demand"" Kandidat Frederik Plesner Lyngse Titel ""Essays in Health Economics: Supply and Demand"" Tid og sted 16. april 2020 kl. 13:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Lektor Mette Gørtz, Økonomisk Institut, Københavns Universitet, Danmark (formand) Professor Petter Lundborg, Lund Universitet Lektor Fane Naja Groes, CBS Abstract This thesis comprises three self-contained chapters. While the chapters are somewhat different, they all share some common denominators. First, they all address supply or demand in the healthcare sector. Second, they all exploit unique data sources. Third, they all address inequality and are relevant for policy.In Chapter 1: “How Does Payday Affect Prescription Drug Purchases? Evidence from Danish Welfare Benefit Recipients”, I show that individuals on welfare benefits are liquidity constrained by the end of the month to a degree that they postpone purchasing prescription drugs and thereby delaying treatment that should not be delayed. I find clear evidence of purchasing sensitivity around transfer income payday and show that liquidity constraints is a key operating mechanism for why individuals living off welfare benefits postpone filling antibiotic prescriptions. These results indicate that out-of-pocket costs for medical treatment leads to inequality in access to timely treatment across socio economic groupsIn Chapter 2: “Collusion among Specialist Physicians: Evidence from Narrative and Administrative Data”, I exploit a policy change that introduced cost-control incentives in provider contracts for independent physician clinics providing services to public patients in Denmark that introduced incentives for collusion among the physician clinics. I document the internal organization of a trade industry organization colluding by dividing the market according to firm-specific quotas. They enforce the quotas by sending out e-mails calling for a production reduction in order to keep public reimbursement fees as high as possible. I show that physicians respond to these e-mails by decreasing production of public patients — both in revenue and number of patients treated. I further demonstrate spillovers in the form of increased treatment of private patients fully offsetting the production decrease of public patients.In Chapter 3: “Early Labor Market Circumstances and Gender Gaps in Life Time Career Opportunities”, written together with Torben Heien Nielsen and Itzik Fadlon, we investigate how early career circumstances determine long run labor market opportunities differentially for males and females. To do so, we exploit a lottery affecting the first job for physicians just graduated from medical school. We show that initial unluck in the labor market affects women negatively in their long run career opportunities, while men are unaffected. In particular, we find that unlucky women are less likely to invest in additional human capital and more likely to reside in a rural area. Further, we investigate three mechanisms potentially influencing these results. These results imply that males and females respond to adverse circumstances early in the career differentially, implying an inequality across the two sexes. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Charlotte.Jespersen@econ.ku.dk" "Data Science Evening";"Socioøkonomisk Samfund";"2020-04-07";"17:00";"2020-04-07";"19:00";"CSS, room 35.01.06";"Come and join an interesting event about data science related to the social sciences.";"Come and join an interesting event about data science related to the social sciences. This time we are joined by two prominent speakers: A senior data scientist of Danmarks Nationalbank will discuss real-world applications and complex issues where the Danish central bank employs a Machine Learning approach. A ph.d fellow at the Center of Social Data Science analyzing data streams created on the internet and by our mobile phones will present his research on discriminating algorithms and their implications to society. Along with our event partners at Djøf we are excited to welcome you to an evening of fun and informal exploration of data science with snacks and drinks provided. The program is: 5:00 pm - Snacks, drinks and networking5:15 pm - Welcoming by 'Socialøkonomisk Samfund'5:15 pm - Talk by Kristoffer Pade Glavind, ph.d. fellow at SODAS6:00 pm - Break6:15 pm - Talk by Alessandro Martinello, senior data scientist at Danmarks Nationalbank6:45 pm - Q&A’s from the auditorium and concluding the event Please register using the link to DJØF. The event is free for both members and non-members of DJØF. You can read more about the event her." "Katrine Marie Tofthøj Jakobsen forsvarer sin ph.d.-afhandling ";"Økonomisk Institut";"2020-03-26";"16:00";"";"";"Økonomisk Institut";"Ph.d.-forsvar";"Katrine Marie Tofthøj Jakobsen forsvarer sin ph.d.-afhandling ""Impact of Taxation on Household Behavior: Evidence from Danish Administrative Data"". Titel: ""Impact of Taxation on Household Behavior: Evidence from Danish Administrative Data"". Tid og sted 26. marts 2020 kl. 16:00. Link til at logge på overværelse af forsvaret følger her: https://ucph-ku.zoom.us/j/9536476672 Bedømmelsesudvalg Professor Niels Johannesen, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Sebastian Siegloch, University of MannheimLektor David Jinkins, CBS Abstract This thesis consists of three self-contained research papers in public finance. They can be read independently but share two common features. First, they study how different types of taxation schemes affect and shape the economic behavior of households, and second, they utilize the rich Danish administrative data. Chapter 1 studies the effects of wealth taxation on wealth accumulation. Denmark used to impose one of the world’s highest marginal tax rates on household wealth, but this tax was greatly reduced in 1989 and abolished in 1996. We exploit this reduction to estimate the short and medium run effects of wealth taxes on wealth accumulation. We build and calibrate a simple life cycle model that allows us to simulate the long-run effects of wealth taxes. The chapter is co-authored with Kristian Jakobsen, Henrik Kleven, and Gabriel Zucman. Chapter 2 revisits the estimation of the elasticity of taxable income, which is a key parameter for assessing the efficiency costs of personal income taxes. We show that the state-of-the-art estimation strategy is, in essence, a triple difference estimation. This insight makes the key identifying assumption clear, and we show how this underlying assumption can be validated econometrically and graphically. We illustrate our new approach by using tax and benefit reforms in Denmark. The chapter is co-authored with Jakob Egholt Søgaard. Chapter 3 studies the effect of a reduction in a tax on new car registrations on households’ choice of car and car prices in Denmark. New cars are taxed the first time they are first registered in Denmark, and this tax was reduced for medium and large cars in November 2015. I utilize this tax reduction as a natural experiment and I find that households respond by purchasing new cars with higher pre-tax values and quality levels, not by purchasing more cars. Second, the tax reduction is completely passed on to consumers such that households buying a new car reaps the full benefit of the reduction. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Charlotte.Jespersen@econ.ku.dk" "Leonardo Melosi, Chicago FED: CANCELLED";"Copenhagen Macro Distinguished Seminar";"2020-03-25";"13:00";"2020-03-25";"14:15";"TBA";"Copenhagen Macro Distinguished Seminar, arranged by the Department of Economics";" Contact person: Emiliano Santoro" "Økonomisk Eksploratorium #10 Finansiering. CANCELLED";"Økonomisk Institut og Politrådet ";"2020-03-19";"16:00";"";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"#10 Finansiering";" Opsparing i aktier udløser gevinster og tab.Påvirkes pensionens størrelse, eller er det forbruget her og nu, der giver sig? Bliver der omsat for meget i aktiemarkedet, og kan en transaktionsskat være velfærdsforbedrende? Er udviklingen i kronekursen kædet sammen med usikkerhed om den makroøkonomiske politik? Mød Asger Lau Andersen, Michael Bergman og Peter Norman Sørensen. ---------------------------------------------------------------------------------- Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Hvert semester afholder vi et månedligt arrangement med et tema, som tager afsæt i aktuel forskning på instituttet.Med arrangementerne åbner vi dørene ind til ind forskningsmiljøet og viser hvordan økonomi bliver brugt i samfundet. Økonomisk Eksploratorium er for studerende, ansatte og alle andre med interesse i økonomi. Det er muligheden for at møde vores forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium foregår på en niveau, hvor alle kan være med og hvor der er plads til spørgsmål og dialog. Instituttet sørger for rigelige mængder kaffe og kage. Vi glæder os til at se dig! Bedste hilsner Jane & Susanne - på vegne på instituttet og Politrådet " "Martin Ravallion, Georgetown University";"The Department of Economics";"2020-03-10";"13:00";"2020-03-10";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"""The Last Three Percent"". Seminar arranged by the Department of Economics";"""The Last Three Percent"" Abstract There is a little-noticed but important difference between the World Bank’s original goal for poverty reduction and the subsequent UN Sustainable Development Goal (SDG). The Bank’s goal was a 3% poverty rate by 2030, while the SDG is to “eradicate” poverty by 2030. A simple linear projection of current progress against extreme poverty in the world does suggest that we are on track to attaining the UN’s goal. However, linear projection is deceptive if development does not reach the poorest as effectively. There are a priori reasons why the last few percent could be harder to reach with current development policies. Consistently with that hypothesis, the paper documents recent signs of a levelling off in progress for the poorest in East Asia—the star performer regionally over the longer term. This levelling off is also found on average for the 18 developing countries that have reduced their poverty rate from over 10% (around the current global rate) to under 3% during 1981-2017. Similarly, to East Asia, progress in reaching the poorest declined once the last 3% had been reached, though some countries did better than others. This suggests that “business as usual” (even by the standards of the relatively successful countries) will not suffice to eradicate extreme poverty. Contact person: Casper Worm" "SODAS Pop-up Talk w/ Alexander Volfovsky ";"Copenhagen Center for Social Data Science (SODAS)";"2020-03-09";"11:00";"2020-03-09";"12:00";"CSS, Room 1.2.26.";"SODAS Pop-up Talk with Assistant Professor of Statistical Science at Duke University, Alexander Volfovsky.";" Alexander Volfovsky is an Assistant Professor of Statistical Science at Duke University. He is interested in theory and methodology for network analysis, causal inference and statistical/computational tradeoffs and in applications in the social sciences. His research is concerned with developing theory and methodological tools for approaching such modern data structures by better understanding these underlying dependence structures. His primary applied interest is in the health and social sciences with past and ongoing collaborations studying friendship formation in high schools, employment outcomes for college graduates and job mobility as a function of an underlying social network. Online experimentation for studying political polarization Social media sites are often blamed for exacerbating political polarization by creating “echo chambers” that prevent people from being exposed to information that contradicts their preexisting beliefs. We conducted a field experiment during which a large group of Democrats and Republicans followed bots that retweeted messages by elected officials and opinion leaders with opposing political views. Republican participants expressed substantially more conservative views after following a liberal Twitter bot, while Democrats’ attitudes became slightly more liberal after following a conservative Twitter bot—although this effect was not statistically significant. As part of a follow up to this experiment we study the impact of the Russian Internet Research Agency's (IRA) online influence campaign. We find no evidence that interacting with the IRA accounts substantially impacted 6 political attitudes and behaviors. Descriptively, interactions with trolls were most common among individuals who use Twitter frequently, have strong social-media “echo chambers,” and high interest in politics. Motivated by these studies we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment assignment as a ""quasi-coloring"" on a graph. For studying direct treatment effects we show that a perfect quasi-coloring strives to match every treated unit on a given network with a distinct control unit that has identical number of treated and control neighbors. For a wide range of interference functions encountered in applications, we show both by theory and simulations that the classical Neymanian estimator for the direct effect has desirable properties for our designs. The SODAS Pop-up Talk will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11:00 am - 12:00 noon Monday the 9th of March 2020." "Økonomisk Eksploratorium #9 - Økonomernes krystalkugle";"Økonomisk Institut og Politrådet ";"2020-02-27";"16:00";"";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Økonomernes krystalkugle";"Økonomisk Eksploratorium#9 Økonomernes krystalkugle Torsdag den 27. februar kl. 16-18 i CSS, 26.3.21 (Frokoststuen) Vil Danmark fortsat være rigere end Kenya i år 2100? Vil Kina være demokratisk? Hvad er de langsigtede økonomiske konsekvenser af eventuelle fremtidige verdenskrige, naturkatastrofer og pandemier? Med udgangspunkt i deres egen forskning guider Asger Wingender, Casper Worm, Marc Klemp og Jeanet Sinding Bentzen til historiske data og naturlige eksperimenter. ---------------------------------------------------------------------------------- Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Hvert semester afholder vi et månedligt arrangement med et tema, som tager afsæt i aktuel forskning på instituttet.Med arrangementerne åbner vi dørene ind til ind forskningsmiljøet og viser hvordan økonomi bliver brugt i samfundet. Økonomisk Eksploratorium er for studerende, ansatte og alle andre med interesse i økonomi. Det er muligheden for at møde vores forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium foregår på en niveau, hvor alle kan være med og hvor der er plads til spørgsmål og dialog. Instituttet sørger for rigelige mængder kaffe og kage. Vi glæder os til at se dig! Bedste hilsner Jane & Susanne - på vegne på instituttet og Politrådet" "SODAS Pop-up Talk w/ Pantelis Pipergias Analytis";"Copenhagen Center for Social Data Science (SODAS)";"2020-02-26";"14:00";"2020-02-26";"15:00";"CSS, Room 1.2.26.";"SODAS Pop-up Talk with Assistant Professor at the Danish-IAS at the University of Southern Denmark, Pantelis P. Analytis.";" Pantelis P. Analytis is an Assistant Professor at the Danish-IAS at the University of Southern Denmark (SDU). Before joining the University of Southern Denmark he worked as a predoctoral researcher at the Max Planck Institute for Human Development in Berlin and as a postdoctoral researcher at the Computer and Information Science departments at Cornell University in Ithaca. He has a background in economics and cognitive psychology and is self-taught in machine learning, computational social science and a few other disciplines. In his research, Pantelis develops mathematical and computational models of individual and collective behavior and uses experiments, big-data and large-scale simulations to assess their descriptive and prescriptive value. The structure of social influence in recommender networks The ability of people to influence the opinion of others on matters of taste varies greatly---both in the offline world and in recommender systems. What are the mechanisms underlying this striking inequality? We use the weighted k-nearest-neighbor algorithm to represent an array of social learning strategies and show---using network theory---how this gives rise to networks of social influence in six real-world domains of taste. By doing so, we show three novel results that apply both to offline advice taking and online recommender settings. First, influential individuals have mainstream tastes and high dispersion in their taste similarity with others. Second, the fewer people an individual or algorithm consults (i.e., the lower k) and the more sensitive an individual or algorithm is to how similar other people are, the smaller the group of people with substantial influence. Third, the influence networks that emerge are hierarchically organized. Our results shed new light on classic empirical findings in communication and network science and can help improve our understanding of social influence in the offline and online world. The SODAS Pop-up Talk will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 2:00 pm - 3:00 pm Wednesday the 26th of February 2020. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk " "SODAS Data Discussion w/ Rebecca Adler-Nissen, Kristin Anabel Eggeling & Kelton Ray Minor";"Copenhagen Center for Social Data Science (SODAS)";"2020-02-21";"11:00";"2020-02-21";"12:00";"CSS, room 1.2.26";"Copenhagen Center for Social Data Science (SODAS) is pleased to announce the third SODAS Data Discussion of this spring where three presenters will present their work. ";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. We are going to kick off the spring semester with three presenters. The first work to be presented is by Professor in Political Science, Rebecca Adler-Nissen, and Postdoc at the Department of Political Science, Kristin Anabel Eggeling. They are followed by PhD at the Department of Economics and SODAS, Kelton Ray Minor. Kelton Ray Minor: Nocturnal Warming and Human Behavior Nighttime air temperatures are rising globally compared to local historical averages. Far more is known about heat effects on daytime human activity compared to nocturnal behavior. Here we link millions of multi-night activity measurements from commercial wearable devices spanning 68 countries to local daily meteorological data from 2015 to 2017. Rising temperatures alter human rest. Coupling historical behavioral measurements with output from global climate models, we project behavioral impacts into the future. Our findings are relevant for adaptation policy and planning, and indicate a specific behavioral pathway through which rising temperatures impact global public health and downstream behaviors. Rebecca Adler-Nissen & Kristin Anabel Eggeling: Tweeting Diplomacy: Why We Need a Practice Approach in Social Data Science What happens when a diplomat tweets? The increasing activity of diplomats and heads of state on social media platforms such as Twitter has led scholars to argue that diplomacy, one of the fundamental institutions of global politics, has ‘gone digital’. Much of this literature argues that digital media make state-to-state interactions more public and transparent, thus rendering back-room negotiations and stiff diplomatic protocol increasingly obsolete. Investigating these dynamics with and among European Union diplomats in Brussels, however, we find that local interpretations and use patterns of social media platforms differ and diverge considerably. While some practitioners embrace new communication tools as outlets to build their profiles as competent negotiators, others contemplate fatigue with constant communication, information overflow and breaches of confidentiality. Our ambition with this paper is to assess how digital practices like tweeting become part of the diplomatic repertoire. To do so, we draw practice theory, with its sensitivity to lived experience, practical doings, and material mediation, into social data science and its emphasis on ‘big [diplomatic] data’. What we need, we argue, is not social-data science, but social data-science: we need to treat data-science as a social science, and digital data as social data. Similar to Geertz’s wink or Barthes’ image, digital data points are polysemous, their meaning(s) depend on the processes and contexts of their production, as well as their social (including academic) interpretation. Unpacking the social in social data science through a practice-lens is promising, as it helps overcome a problematic dichotomy: that of the separateness of the ‘online’ and the ‘offline’, the ‘digital’ and the ‘analogue’ world. This move is both theoretical and methodological. First, it shows how, sociologically speaking, an instance like a diplomatic tweet does not exist independently from the contexts that produce it. Second, overcoming such binaries requires a research strategy that pays equal attention to what is happening both on diplomats’ twitter accounts and behind the phone screens that feed them. The SODAS Data Discussion will take place at SODAS in building 1, 2ndfloor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 noon. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "The hidden history of Burma: Race, Capitalism, and the Crisis of Democracy in the 21st Century";"University of Copenhagen";"2020-02-12";"14:30";"2020-02-12";"17:00";"Chr. Hansen Auditorium 34.0.01, Øster Farimagsgade 5, 1353 Copenhagen. Entrance from Bartholinsgade 4-6 is recommended.";"Public talk by historian, former diplomat, and presidential advisor, Thant Myint-U on his book ‘The hidden history of Burma: Race, Capitalism, and the Crisis of Democracy in the 21st Century’.";" University of Copenhagen is pleased to host a public talk by historian, former diplomat, and presidential advisor, Thant Myint-U on his book ‘The hidden history of Burma: Race, Capitalism, and the Crisis of Democracy in the 21st Century’. Finn Tarp, professor in Development Economics, will moderate the talk. About the book In his book Thant Myint-U makes an insider’s diagnosis of a country at a breaking point, he dissects how a singularly predatory economic system, fast-rising inequality, disintegrating state institutions, the impact of new social media, the rise of China next door, climate change, and deep-seated feelings around race, religion, and national identity all came together to challenge the incipient democracy. Interracial violence soared and a horrific exodus of hundreds of thousands of Rohingya refugees fixed international attention. Myint-U explains how and why this happened, and details an unsettling prognosis for the future. Burma is today a fragile stage for nearly all the world’s problems. Are democracy and an economy that genuinely serves all its people possible in Burma? In clear and urgent prose, Myint-U explores this question―a concern not just for the Burmese but for the rest of the world―warning of the possible collapse of this nation of 55 million while suggesting a fresh agenda for change. Programme 14:30-15:00: Refreshments 15:00-16:00: Talk by Thant Myint-U. Moderator: Finn Tarp 16:00-17:00: Q&A Copies of the book will be available for purchase. " "Thomas Graeber, Harvard University (Job Market Seminar)";"The Department of Economics";"2020-01-31";"13:00";"2020-01-31";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“Cognitive Uncertainty”. Seminar arranged by the Department of Economics";"“Cognitive Uncertainty” Abstract This paper introduces a formal definition and an experimental measurement of the concept of cognitive uncertainty: people’s subjective uncertainty about what the optimal action is. This concept allows us to bring together and partially explain a set of behavioral anomalies identified across four distinct domains of decision-making: choice under risk, choice under ambiguity, belief updating, and survey expectations about economic variables. In each of these domains, behavior in experiments and surveys tends to be insensitive to variation in probabilities, as in the classical probability weighting function. Building on existing models of noisy Bayesian cognition, we formally propose that cognitive uncertainty generates these patterns by inducing people to compress probabilities towards a mental default of 50:50. We document experimentally that the responses of individuals with higher cognitive uncertainty indeed exhibit stronger compression of probabilities in choice under risk and ambiguity, belief updating, and survey expectations. Our framework makes predictions that we test using exogenous manipulations of both cognitive uncertainty and the location of the mental default. The results provide causal evidence for the role of cognitive uncertainty in belief formation and choice, which we quantify through structural estimations. Contact person: Johan Lagerlöf and Marco Piovesan" "Similan Rujiwattanapong, Aarhus University (Job Market Seminar)";"The Department of Economics";"2020-01-30";"13:00";"2020-01-30";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“Unemployment Dynamics and Endogenous Unemployment Insurance Extensions”. Seminar arranged by the Department of Economics";"“Unemployment Dynamics and Endogenous Unemployment Insurance Extensions” Abstract This paper investigates the impact of endogenous unemployment insurance (UI) extensions on the dynamics of unemployment and its duration structure in the US. Using a search and matching model with worker heterogeneity, I allow for the maximum UI duration to depend on unemployment and for UI benefits to depend on worker characteristics. UI extensions have a large effect on unemployment duration during the Great Recession via job search responses and a moderate effect on total unemployment via job separations. Disregarding rational expectations about the timing of UI extensions could imply an overestimation of the unemployment rate by over 2 percentage points. Contact person: Emiliano Santoro" "Amalie Sofie Jensen, Princeton University (Job Market Seminar)";"The Department of Economics";"2020-01-29";"14:00";"2020-01-29";"15:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“The Welfare Magnet Hypothesis: Evidence From an Immigrant Welfare Scheme in Denmark”. Seminar arranged by the Department of Economics";"“The Welfare Magnet Hypothesis: Evidence From an Immigrant Welfare Scheme in Denmark” Abstract We study the effects of welfare generosity on international migration using a series of large changes in welfare benefits for immigrants in Denmark. The first change, implemented in 2002, lowered benefits for immigrants from outside the EU by about 50%, with no changes for natives or immigrants from inside the EU. The policy was later repealed and re-introduced. The differential treatment of immigrants from inside and outside the EU, and of different types of non-EU immigrants, allows for a quasi-experimental research design. We find sizeable effects: the benefit reduction reduced the net flow of immigrants by about 5,000 people per year, or 3.7 percent of the stock of treated immigrants, and the subsequent repeal of the policy reversed the effect almost exactly. Our study provides some of the first causal evidence on the widely debated “welfare magnet” hypothesis. While there are many non-welfare factors that matter for migration decisions, our evidence implies that, conditional on moving, the generosity of the welfare system is important for destination choices. Contact person: Niels Johannesen" "Daphné Skandalis, Federal Reserve Bank of New York (Job Market Seminar)";"The Department of Economics";"2020-01-27";"11:00";"2020-01-27";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“Unemployment Insurance and Job Search Behavior”. Seminar arranged by the Department of Economics";"“Unemployment Insurance and Job Search Behavior” Abstract Unemployment insurance (UI) helps workers smooth their consumption at job loss and can affect their job search behavior. We shed light on the effect of UI on job search behavior using new longitudinal data: we track job applications sent on a major online search platform for 500,000 French unemployed workers. We show that, in the year before their benefits exhaustion, unemployed workers increase their search intensity and decrease their target wage. After exhaustion, they keep a relatively high search intensity and low target wage. This suggests that finite-duration UI has both a negative effect on unemployed workers’ search intensity and a positive effect on their target wage, and that these effects fade away over time—consistent with the predictions of the standard search model. Prior evidence seemingly inconsistent with these findings can largely be explained by dynamic selection and duration dependence. Our structural estimation shows that the standard search model fits our reduced-form estimates very well. The behavioral reference-dependent search model provides an even better fit, but with a small degree of reference-dependence that only slightly affects search behavior. Overall, our findings suggest that the standard search model provides a good approximation of the dynamic impact of UI on search behavior. Contact person: Mette Ejrnæs" "Katarina Jensen, University of California, Berkeley (Job Market Seminar)";"The Department of Economics";"2020-01-24";"11:00";"2020-01-24";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“The Political Consequences of Immigration: Evidence from Refugee Shocks in Denmark”. Seminar arranged by the Department of Economics";"“The Political Consequences of Immigration: Evidence from Refugee Shocks in Denmark” Abstract across but also within parties. In this article, I utilize the quasi-random allocation of refugees to Danish municipalities and subsequent settlement patterns to study how an inflow of refugees affects local politics within and across parties. Drawing on an administrative dataset consisting of the full population of political candidates for Danish municipal councils from 1993-2013, I show that in this setting, exogenous changes in the share of refugees do not change vote shares for far-right nor established parties. Instead, refugee migration causes more candidates with a low socioeconomic status (SES) to enter and be elected into politics. This effect is driven both by parties and voters: First, established parties place low-SES candidates higher on lists and switch to a party system, where individual candidate popularity, rather than party list position, determines election. Second, voters cast individual votes for these low-SES candidates. In a nationally representative survey experiment, I study what the election of low-SES candidates tells us about policy preferences. I find that voters’ preference for low-SES candidates can in part be explained by their increased preferences for redistribution toward economically vulnerable natives, which mirrors the preferences of low-SES candidates. The findings in this paper suggest that parties may be able to compete with the far right by including and promoting socioeconomically representative candidates and increasing voter influence over candidate selection. Contact person: Asger Lau Andersen" "Luca Mazzone, University of Zurich (Job Market Seminar)";"The Department of Economics";"2020-01-23";"13:00";"2020-01-23";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“Go Big or Buy a Home: Student Debt, Human Capital and Household Formation”. Seminar arranged by the Department of Economics";"“Go Big or Buy a Home: Student Debt, Human Capital and Household Formation” Abstract Do financial constraints affect human capital accumulation of young workers? Does student debt play a role in household formation? Using supply side variations in college aid policies, we empirically analyze the impact of student debt on post baccalaureate decisions. We find that student debt induces a front loading of earnings, an anticipation in household formation and has a negative and persistent effect on graduate school attendance. We then introduce and estimate a life cycle model with endogenous human capital accumulation, career choice and housing. Our results highlight the importance of differences in net wealth at labor market entry as determinants of long run human and physical capital accumulation. We also show that housing is fundamental to understand dynamics in career and enrollment choices over the life cycle. Finally, we compare alternative policy proposals. A widespread adoption of an income based repayment plan and a more ambitious forgiveness plan have similar effects, as both increase human capital accumulation, earnings growth, and postpone entry into homeownership. Contact person: Bertel Schjerning" "Has van Vlokhoven, Stockholm University";"The Department of Economics";"2020-01-22";"13:00";"2020-01-22";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Estimating the Cost of Capital and the Profit Share"". Seminar arranged by the Department of Economics";"“Estimating the Cost of Capital and the Profit Share” Abstract Compensation of the factor of production capital is not directly observed since most firms own part of their capital stock. In this paper, I develop a new method to estimate capital compensation. I show how firms' input choices reveal the user cost of capital when firms minimize costs and produce according to a homogeneous production function. Subtracting estimated capital compensation together with all other observed costs from sales gives economic profits. Estimating the model using Compustat data, I find that the cost of capital has been declining, and that the profit share has been increasing over the past fifty years from around 4% of sales to around 8% of sales. The increase in the profit share coincides with the observed fall in the labor share, while I estimate the capital share to be falling as well. Therefore, the fall in the labor share is not due to an increased capital intensity, but due to an increase in profits. Furthermore, I find that the increase in profits is due to reallocation between firms, but not due to reallocation between industries. I also document that profits have become more back-loaded over the life cycle of the firm, which provides a potential explanation for the fall in firm entry. Finally, I find an upward trend in the returns to scale, which combined with the rise in profits implies that markups have been increasing. Contact person: Emiliano Santoro" "Salomón García, University of Minnesota (Job Market Seminar)";"The Department of Economics";"2020-01-22";"11:00";"2020-01-22";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"“Regulation and Financial Intermediation in the Mortgage Market”. Seminar arranged by the Department of Economics";"“Regulation and Financial Intermediation in the Mortgage Market” Abstract I study the impact of policy interventions in the secondary mortgage market. I develop a quantitative general equilibrium model of financial intermediation that features adverse selection in the secondary market, and calibrate it to match key moments on the cross-section of the US mortgage origination market. With income and default rate shocks as observed in the data, the model accounts for two-thirds of the collapse of the mortgage market during the Great Recession. Policy interventions that compensate investors for losses from default and adverse selection are effective in stabilizing the mortgage market by reducing the volatility of prices and quantities. Borrower households benefit from stabilization through lower and less volatile mortgage rates but must pay higher taxes to finance the policy. Contact person: Peter Norman Sørensen" "Stefan Voigt, Vienna University of Economics and Business (Job Market Seminar)";"The Department of Economics";"2020-01-21";"13:00";"2020-01-21";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Arbitrage, liquidity and price Informativeness"". Seminar arranged by the Department of Economics";"""Arbitrage, liquidity and price Informativeness"" Abstract Limits to arbitrage impose costs on cross-market trading and harm informational efficiency in fragmented markets. I quantify the impact of blockchain-related trading frictions that arise from the time-consuming settlement process in the market for Bitcoin. The estimation rests on an error correction model that exploits the notion that arbitrageurs suspend their activity when arbitrage costs exceed price differences. I estimate substantial arbitrage costs that explain 63% of the observed price differences, where more than 75% of these costs can be attributed to settlement latency. I also find that a 10 bp decrease in technology-related arbitrage costs simultaneously results in a 3 bp increase of the spreads. I embed this finding in a theoretical model in which liquidity providers set larger spreads to cope with the higher adverse selection risks imposed by increased arbitrage activity. Consequently, efforts to reduce the latency of blockchain-based settlement might have unintended consequences for liquidity provision. In markets with substantial adverse selection risk, reduced technology-related arbitrage costs may thus even harm informational efficiency. Contact person: Peter Norman Sørensen" "Frikk Nesje, University of Oslo (Job Market Seminar)";"The Department of Economics";"2020-01-21";"11:00";"2020-01-21";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"“Cross-dynastic intergenerational altruism”. Seminar arranged by the Department of Economics";"“Cross-dynastic intergenerational altruism” Abstract Decisions with long-term consequences require comparing utility derived from present consumption to future welfare. But can we infer socially relevant intertemporal preferences from saving behavior? I allow for a decomposition of the present generation's preference for the next generation into its dynastic and cross-dynastic counterparts, in the form of welfare weights on the next generation in the own dynasty and other dynasties. Welfare weights on other dynasties can be motivated by a concern for sustainability, or if descendants may move or marry outside the dynasty. With such cross-dynastic intergenerational altruism, savings for one's own descendants benefit present members of other dynasties, giving rise to preference externalities. I find that socially relevant intertemporal preferences may not be inferred from saving behavior if there is cross-dynastic intergenerational altruism. I also show that the external effect of present saving decreases over time. This means that intertemporal preferences inferred from saving behavior are time-inconsistent, unless cross-dynastic intergenerational altruism is accounted for. Contact person: Peter Birch Sørensen" "Anne Sofie Beck Knudsen, Harvard University (Job Market Seminar)";"The Department of Economics";"2020-01-20";"11:00";"2020-01-20";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"""Those Who Stayed: Selection and Cultural Change during the Age of Mass Migration"". Seminar arranged by The Department of Economics";"""Those Who Stayed: Selection and Cultural Change during the Age of Mass Migration"" Abstract This paper studies the cultural causes and consequences of mass emigration from Scandinavia in the 19th century. I test the hypothesis that people with individualistic traits were more likely to emigrate, because they faced lower costs of leaving established social networks behind. Data from population censuses and passenger lists confirm this hypothesis. Children who grew up in households with nonconformist naming practices, nuclear family structures, and weak ties to parents’ birthplaces were on average more likely to emigrate later in life. Selection was weaker under circumstances that reduced the social costs of emigration. This was the case with larger migration networks abroad, and in situations where people emigrated collectively. Based on these findings, I expect emigration to generate cultural change towards reduced individualism in migrant-sending locations, through a combination of initial compositional effects and intergenerational cultural transmission. This is confirmed in a cross-district setting with measures of actual cultural change over the medium and long run. Contact person: Jeanet Sinding Bentzen" "Alexey Gorn, University of Cambridge (Job Market Seminar)";"The Department of Economics";"2020-01-17";"13:00";"2020-01-17";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Assessing the (De)Stabilizing Effects of Unemployment Benefit Extensions"". Seminar arranged by the Department of Economics.";"""Assessing the (De)Stabilizing Effects of Unemployment Benefit Extensions"" Abstract We study the role of unemployment benefit extensions for aggregate labor market dynamics. We develop a tractable model with heterogeneous agents, search frictions and nominal rigidities. The model allows for both a destabilizing labor market channel and a stabilizing aggregate demand channel of unemployment insurance. The tractability of the model permits to investigate the workings of each channel in isolation. We find that both channels are quantitatively important and of similar magnitude: the aggregate demand channel marginally prevails when the model is calibrated to the U.S. economy. We also show that unemployment benefit extensions played a very limited role for unemployment dynamics during the Great Recession and its aftermath. Instead, we can explain the bulk of the increase in unemployment and its persistence with a combination of labor market shocks and a shock to the borrowing constraint faced by households. Contact person: Emiliano Santoro" "Anastasia Girshina, Stockholm School of Economics (Job Market Seminar)";"The Department of Economics";"2020-01-17";"11:00";"2020-01-17";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"“Wealth, savings, and returns over the life cycle: the role of education”. Seminar arranged by the Department of Economics.";"“Wealth, savings, and returns over the life cycle: the role of education” Abstract This paper studies the effect of education on wealth and wealth accumulation over the life cycle. The analysis relies on an administrative panel that reports educational attainment and detailed information on assets and liabilities of Swedish residents. To identify the causal effect of education, I employ three alternative identification strategies which rely on controlling for predetermined family background and ability, within-siblings variation in educational attainment, and a compulsory schooling reform. I find that education has a positive, large, and long-lasting effect on net worth. I further show that it affects all balance sheet components and that these effects vary over the life cycle. Finally, I document that the differences in wealth are driven by both higher savings and higher portfolio returns among the more educated, although their relative importance varies over time. My results have implications for theoretical work on optimal consumption-saving behavior and portfolio choice, as well as for fiscal and social security policy. Overall, the findings suggest that considering only wage returns to education greatly understates its economic implications. Contact person: Peter Norman Sørensen" "Antoine Bertheau, CREST (Center for Research in Economics and Statistics) Job Market Seminar";"The Department of Economics";"2020-01-16";"11:00";"2020-01-16";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"""Identifying Core Parameters of Labor Market Models: Evidence from Unexpected Worker Separations"". Seminar arranged by the Department of Economics.";"""Identifying Core Parameters of Labor Market Models: Evidence from Unexpected Worker Separations"" Abstract We document how the effects of exogenous shocks to firms’ employment on firm and worker outcomes jointly identify three central parameters of core models of the labor market: (i) the elasticity of output with respect to labor, (ii) the elasticity of labor supply, and (iii) the marginal value of a filled job, which corresponds to the cost of labor market frictions and turnover to the firm. Empirically, we draw on matched employer-employee data from Denmark and estimate the causal effect of unexpected worker separations, due to deaths, on firm and coworker outcomes. Our reduced-form results indicate temporary adverse effects on firms’ employment and output and positive ones on coworkers’ hours and earnings. We then show how these reduced-form effects identify the core parameters of a search-and-matching model. We estimate these parameters using IV, provide an original estimate for the costs of labor turnover, and quantify the role of adjustment of hours and wage within firms by performing several counterfactual experiments. Contact person: Morten Bennedsen" "Maria Olsson, Uppsala University (Job Market Seminar)";"The Department of Economics";"2020-01-15";"13:00";"2020-01-15";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"""Labor Cost Adjustments During the Great Recession"". Seminar arranged by the Department of Economics.";"""Labor Cost Adjustments During the Great Recession"" Abstract This paper uses detailed Swedish micro-data to analyze how firms adjusted their labor costs in response to the large drop in aggregate demand during the Great Recession. For identification, I exploit the fact that the recession primarily hit export-dependent firms in Sweden. The results show that exposed firms were able to curb the rate of wage increases by a magnitude in line with existing micro-evidence of co-movements between individual firms' profits and their workers' wages (i.e. rent-sharing). In spite of this, I find that the dominant part of labor cost adjustments came through reductions in employment through separations into unemployment. For workers, the main source of earnings losses was therefore not the reductions in wages, but the increased rate of job-separations into unemployment. This suggests that wage rigidity contributes to unemployment and earnings fluctuations. Further evidence indicates that the exact details of wage-setting institutions affects the choice between wage and employment adjustments: workers covered by union contracts that provided individual workers with guaranteed wage increases experienced more separations in response to the fall in demand. Contact person: Emiliano Santoro" "Luca Picariello, University of Naples Federico ll (Job Market Seminar)";"The Department of Economics";"2020-01-15";"11:00";"2020-01-15";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Organizational design with Portable Skills"". Seminar arranged by the Department of Economics.";"""Organizational design with Portable Skills"" Abstract Workers can move across firms and carry along portable human capital. I present a model where workers' talent is observable but task allocation is non-contractible. To reduce mobility firms may inefficiently match workers with tasks that reduce their outside option. I show that by organizing the firm as an equity-partnership, the efficient task allocation can be implemented and profits increase. This result is attained by shifting control rights to workers who become partners, decide over task allocation and earn dividends as compensation. This provides a new rationale for the widespread presence of firms organized as partnerships in human-capital intensive industries. Contact person: Peter Norman Sørensen" "Carola Müller, Norges Bank (Job Market Seminar)";"The Department of Economics";"2020-01-14";"11:00";"2020-01-14";"12:15";"CSS, Øster Farimagsgade 5, (lokale 35.2.01), 1353 Kbh K";"""Basel III capital requirements and heterogeneous banks"". Seminar arranged by the Department of Economics";"""Basel III capital requirements and heterogeneous banks"" Abstract I study how the interaction of competing minimum capital requirements affects the allocation of market shares across banks with different productivity. Regulators face a trade-off between the efficient allocation of resources and financial stability. In my model, banks’ productivity determines their optimal strategy in oligopolistic markets. Constrained only by a risk-weighted capital ratio, high-productivity banks specialize on a less risky strategy with higher leverage. Hence, they are directly affected when a leverage ratio is added. Considering a productivity-driven charter value renders capital requirements indirectly aiming at high-productivity banks less effective at a distortionary cost: In order to compensate the higher costs due to the additional requirement banks reduce their loan supply and interest rates rise. As a result, new entrants with productivity below the level of incumbent banks are attracted and thus average productivity in the banking market decreases. Contact person: Peter Norman Sørensen" "Patrick Moran, University of Oxford (Job Market Seminar)";"The Department of Economics";"2020-01-13";"13:00";"2020-01-13";"14:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"""Breaking the Commitment Device: The Effect of Home Equity Withdrawal on Consumption, Saving, and Welfare"". Seminar arranged by the Department of Economics";"""Breaking the Commitment Device: The Effect of Home Equity Withdrawal on Consumption, Saving, and Welfare"" Abstract Financial innovation and deregulation have given households an unprecedented ability to access home equity. To what extent is this beneficial? On one hand, access to home equity enables households to better smooth consumption and self-insure against risk. On the other hand, if housing acts as a savings commitment device, then more liquidity may weaken commitment. In this paper, we evaluate the costs and benefits of greater access to home equity by estimating a model that captures these two opposing channels. Model estimates are validated using a reform that abruptly legalized home equity withdrawal in Texas. In both the data and the model, we observe a 3% increase in nondurable consumption following the reform. According to our estimates, weakened commitment and consumption smoothing each account for half of the observed increase in consumption. Finally, we find that the cost of weakened commitment dominates and that welfare has declined due to the introduction of home equity withdrawal. Contact person: Emiliano Santoro" "Karolis Liaudinskas, Universitat Pompeu Fabra (Job Market Seminar)";"The Department of Economics";"2020-01-13";"11:00";"2020-01-13";"12:15";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Loss of a Lending Relationship: Pain or Relief"". Seminar arranged by the Department of Economics";"""Loss of a Lending Relationship: Pain or Relief"" Abstract We estimate firms’ hold-up costs and bank-switching costs using loan-level data and a novel identification setting – bank closures. We find that after a financially distressed bank closed and its good borrowers were forced to switch, their borrowing costs dropped steeply and converged to the market’s average. We document no such effect when a healthy bank closed. This suggests that distressed banks may use informational monopoly power to hold up and exploit their good borrowers. The drop of borrowing costs reflects firms’ ex-ante hold-up costs and the lower bound of switching costs. To policy-makers this suggests potential benefits of bank closures. Contact person: Peter Norman Sørensen" "Maria Juul Hansen forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2020-01-10";"15:30";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Maria Juul Hansen forsvarer sin ph.d.-afhandling:""Topics in Urban Economics: Non-Market Valuation and Location Choice"".";"Maria Juul Hansen forsvarer sin ph.d.-afhandling:""Topics in Urban Economics: Non-Market Valuation and Location Choice"". Kandidat: Maria Juul Hansen Titel: ""Topics in Urban Economics: Non-Market Valuation and Location Choice"" Tid og sted 10. januar 2020 kl. 15:30, Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Mette Ejrnæs, Økonomisk Institut, Københavns Universitet, Danmark (formand)Lektor Ismir Mulalic, DTU, DanmarkProfessor Robert A. Miller, Carnie Mellon University, USA Abstract This thesis consists of three self-contained chapters on topics in urban economics. They complement each other by taking three different angles on what drives the decisions on where to live and work. Chapter 1 develops a reduced-form method to estimate marginal willingness to pay for non-marginal changes in non-traded amenities under time-varying preferences. It applies the method to violent crime. The results document that ignoring time-varying preferences causes a significant bias. (Joint work with Christopher Timmins). Chapter 2 develops and estimates a dynamic model for housing size and residential and work locations with equilibrium constraints on the housing market. The chapter provides evidence that increasing the housing supply in Copenhagen lowers equilibrium prices, increases urbanization and motivates richer households to reside in Copenhagen. Increasing commute costs results in higher non-employment rates and lower equilibrium prices in the peripheral regions. (Joint work with Christian Langholz Carstensen, Fedor Iskhakov, John Rust and Bertel Schjerning). Chapter 3 sets up a collective dynamic model of home and work locations for dual-earner households to study the intra-household allocation of commuting and its response to an increase in the number of jobs outside of Copenhagen. The chapter estimates a static version of the model for the Greater Copenhagen Area. The results suggest that the relocation of jobs affects locations of both residence and work and slightly reduces the intra-household difference in commute times and the gender wage gap. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut" "Kasper Kragh-Sørensen, Institute for International Economic Studies, Stockholm University (Job Market Seminar)";"The Department of Economics";"2020-01-10";"12:30";"2020-01-10";"13:15";"CSS, Øster Farimagsgade 5, (lokale 26.2.21), 1353 Kbh K";"""Optimal Property Taxation"". Seminar arranged by the Department of Economics";"""Optimal Property Taxation"" Abstract This paper studies the optimal property tax rate and how it interacts with a tax on capital income. To quantify optimal taxes, I employ a general equilibrium life-cycle model with overlapping generations and incomplete markets calibrated to the U.S. economy. I show that the optimal property tax for newborns in the long run is considerably higher than today’s level of one percent. For example, the optimal property tax is 4.6 percent in the benchmark model and this coincides with a reduction in the capital income tax from 36 percent to around zero percent. Current generations, however, would incur substantial welfare losses from an implementation of the long-run optimal policy. I show that the optimal policy for current generations is actually to keep the property and capital income taxes close to today’s levels. Consequently, I find that a social planner will only set the property tax rate at its long-run optimal level if the social discount rate is significantly lower than the private. A key policy implication is thus that any reasonable analysis of optimal property taxation has to take the short-run welfare implications into consideration. Contact person: Emiliano Santoro" "Helene Willadsen forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2020-01-08";"13:30";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21";"Helene Willadsen forsvarer sin ph.d.-afhandling: ""Economic Behaviour of Children and Young Adults""";"Helene Willadsen forsvarer sin ph.d.-afhandling: ""Economic Behaviour of Children and Young Adults"" Kandidat: Helene Willadsen Titel ""Economic Behaviour of Children and Young Adults"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut. Tid og sted 8. januar 2020 kl. 13:30, Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Lektor Miriam Wüst, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Seda Ertac, Koc University, TyrkietProfessor Daniel Schunk, Johannes Gutenberg-Universität, Tyskland Abstract Preferences and choices in childhood, adolescence and early adulthood are important because they lay the foundation for the adult life. Children face economic decisions every day, like the choice of studying versus leisure. As children transcend into adolescence, economic choices are increasing in number and importance. Already at age 15 to 16, adolescents must choose to enroll – or not – in High School, and how much effort to spend in school. After High School, young adults must choose if they want to invest in more education, and of what type of education. Friends are also becoming increasingly important and counterbalancing own interests with those of friends is essential for forming and maintaining social relations. The chapters in this thesis are all self-contained. Chapter 1, Co-authored with Marco Piovesan is a methodological contribution where we design and validate a survey to measure risk, time and social preferences. Chapter 2 documents how risk, time and social preferences change in age, from age 9 to age 15. Specifically I show that patience and risk neutrality is more widespread among older children, and that social preferences are more heterogeneous among older children. Chapter 3, coauthored with Marco Piovesan and Lotte Kofoed, investigates competitiveness among children in the age from 7-15 years old. We find that girls are 8.4 % less likely than boys to choose a competitive scheme. Chapter 4, coauthored with Anne Toft Hansen, investigates how high school graduates are choosing educations and shows that females are less likely to choose educations within a math field. For females the expected probability of having children is a determinant of their choice of education but not for males. Chapter 5, coauthored with Andreas Bjerre-Nielsen, focuses on cooperation among 1st year University students. Based on an experiment, we show that subjects can use information from real-world interactions to inform them of cooperativeness of others." "Christoph Siemroth, University of Essex (Job Market Seminar)";"Department of Economics UCPH";"2020-01-07";"11:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market seminar";"""How much information is incorporated in financial asset prices? Experimental Evience"" Abstract We derive a new method to estimate how much information is incorporated in financial market prices. In our meta study with data from existing and new double auction experiments, we directly estimate the informational content of prices for the first time. We find that public information is almost completely reflected in prices, but that surprisingly little private information---less than 50%---is incorporated in prices. Our estimates therefore suggest that while semi-strong informational efficiency is consistent with the data, financial market prices may be very far from strong-form efficiency. We compare our estimates with beliefs of economists surveyed at the Econometric Society Meetings, and find that economists and finance researchers alike expect market prices to reflect considerably more private information than what we estimated. These results suggest that academics may overestimate the ability of financial markets to incorporate private information. Contact person: Peter Norman Sørensen" "SODAS Lecture Series: Text as Data";"Copenhagen Center for Social Data Science (SODAS)";"2019-12-19";"11:00";"2019-12-19";"12:30";"CSS, room 1.2.26.";"The speaker of the third and last SODAS Lecture is Gian Marco Campagnolo, who is Lecturer in Science & Technology Studies and Turing Inaugural Fellow at the University of Edinburgh.";" Textual data abound on human communication. We leave textual traces on a great variety of our everyday doings. Our intimate concerns are formulated in google searches, we coordinate community initiatives in Facebook groups and articulate political ideologies on social media platforms. Text has become a fundamental medium through which many people interact, express and position themselves. In Digital Society the analysis, categorization and organization of textual content is off out most importance to governments, businesses, the press and academics alike. The field of computational text analysis is one of the central fields within the wider data revolution. Many methods are being imported into the social science from other fields, especially computer science. But concerns with text models biases and interpretative validity is becoming a growing concern within academia and beyond. This lectures series starts from the premise that text is not just data but social data. Texts are tied to specific contexts and cultural practices, properties that constitutes text data big potential, but also its high risk of being misinterpreted and misclassified - ruining both interpretation and measurement. More generally textual data presents challenges that ranges from core concerns within machine learning, to deep methodological issues in the social science regarding quantification, interpretation and how to combine qualitative and quantitative modes of analysis. In this lecture series we have invited scholars how have made valuable contributions to the interdisciplinary field of computational text analysis. Participative Epistemology in Social Data Science: combining ethnography with computational and statistical approaches The third and last speaker of SODAS' Lecture Series fall 2019 is Gian Marco Campagnolo who is Lecturer in Science & Technology Studies and Turing Inaugural Fellow at the University of Edinburgh. Developed through a number of inter-linked ESRC funded projects in the last five years, Gian Marco Campagnolo's research is the social study of data science. He recently completed a ten year long research programme on the sociology of business knowledge applying a mixed methods approach to identify the dynamics of expertise in information technology markets. His new research programme focuses on valuation practices in high-velocity environments looking at the use of data science in sport. Abstract In this lecture I introduce the new notion of participative epistemology and discuss how it can contribute to sensitising social data science. I will do so by offering the case of a project where ethnographic, computational and sequence analysis methods have been used in combination. By exemplifying it through the analysis of the project’s research design and early results, I suggest a new view on the collaboration between data science and social science. The new notion of participative epistemology will be articulated in three points: (1) a view of how research subjectivities can shape research design; (2) an attention for the research object as co-participant in the research and (3) a sensitivity for the object-relation regimes as having agency in shaping research outcomes. The lecture will take place in building 1, 2ndfloor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm the 19th of December. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Jan Potters, Tilburg University";"Microeconomic Research Unit (MRU)";"2019-12-17";"10:30";"2019-12-17";"11:45";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Delegation with strategic complements and substitutes"". Seminar arranged by the Microeconomic Research Unit (MRU).";"""Delegation with strategic complements and substitutes"" Abstract We examine strategic delegation in a two-stage game. Principals set the incentives for their respective agents, and subsequently the agents choose the strategies in the underlying game. Equilibrium predicts that principals set cooperative incentives if the game is characterized by strategic complements and competitive incentives if the game is characterized by strategic substitutes. We set up a lab experiment to test these predictions. Results show that, as predicted, principals choose competitive incentives for their agents with strategic substitutes, but contrary to prediction, principals do not set cooperative incentives in the game with strategic complements. It turns out that agents behave more cooperatively with strategic complements than equilibrium would predict. This may explain why principals do not set cooperative incentives in this case. Download paper Contact person: Johan Lagerlöf" "Emil Bjerre Jensen forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2019-12-13";"13:00";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 35, lokale CSS 35.3.12";"Emil Bjerre jensen forsvarer sin ph.d.-afhandling:""Essays on Spending, Mortgages and Preferences. Evidence from transaction data""";"Emil Bjerre jensen forsvarer sin ph.d.-afhandling:""Essays on Spending, Mortgages and Preferences. Evidence from transaction data"" Kandidat: Emil Bjerre jensen Titel ""Essays on Spending, Mortgages and Preferences. Evidence from transaction data"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut. Tid og sted 13. december 2019 kl. 13:00, Økonomisk Institut, Københavns Universitet, Øster Farimagsgade 5, 1353 København K, bygning 35, lokale CSS 35.3.12. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Lektor Asger Lau Andersen, Økonomisk Institut, Københavns Universitet, Danmark (formand)Lektor Kaveh Majlesi, Lund Universitet, SverigeProfessor Gisle Natvik, BI Norwegian Business School, Norge Abstract This thesis consists of three self-contained chapters. In the first chapter, written together with Jeppe Druedahl and Søren Leth-Petersen, we study the spending responses of borrowers with adjustable rate mortgages (ARM) around the timing of an interest rate reset. We exploit that the bank sends a letter to ARM borrowers in advance where they inform about the expected change in mortgage payments upon the reset. We find that unconstrained households respond immediately, while liquidity constrained households respond around the time where cash-flow arrives, and rationalize the behavior within a buffer-stock model. In the second chapter, written together with Søren Leth-Petersen, we examine whether home owners, who refinance fixed rate mortgages, increase spending. We find that the overall spending effect is small. To understand this result, we consider two groups of refinancers. One group face a strong incentive to refinance to lock in a lower market rate, and are primarily found to increase loan repayments and saving. Another group of refinancers have less of an incentive to refinance, and we find that they, on the contrary, are more likely to cash-out refinance and increase spending. In the third chapter, I examine how household-specific preferences predict spending responses by structurally estimating preference parameters non-parametrically. Based on the structurally estimated preference parameters, I calibrate household-specific consumption functions to derive MPC estimates. By decomposing the variance of the MPC, I show that 76% of the variation in the MPC is driven by characteristics while 24% is due to temporary circumstances. In a simulation exercise, I demonstrate how household characteristics create a deadweight loss under fiscal polices due to significant differences in spending responses.""" "SODAS Data Discussion w/ Aske Mottelson & Hjalmar Alexander Bang Carlsen";"Copenhagen Center for Social Data Science (SODAS)";"2019-12-13";"11.00";"2019-12-13";"12.00";"CSS, room 1.2.26.";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce the final Data Discussion of this fall. Aske Mottelson and Hjalmar Alexander Bang Carlsen will present their work.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. The first presenter is Aske Mottelson. He is Ph.d in Computer Science and Postdoc at the Department of Psychology, University of Copenhagen. Aske is interested in the intersection between human behavior (social psychology, personality psychology) and computational methods (machine learning, data science, software engineering). His recent work includes research in Affective Computing, Mobile Sensing, and Virtual Reality. The second presenter is Hjalmar Alexander Bang Carlsen, Postdoc here at SODAS. Aske Mottelson: Investigating online political candidate tests from the 2019 Danish general election by scraping and running random simulations Online tests that match voters with political candidates are increasingly popular ahead of elections. In this data discussion, I will present scraped data, simulation results, and speculations about the popular political tests from the 2019 Danish general election. The data suggest some candidates might have 1000x probability of being suggested by these platforms, because of the choice of algorithms to compute similarity. Hopefully, this will initiate discussions about the algorithmic issues (ethically and mathematically) of similarity scoring between questionnaire responses from voters and political candidates. Hjalmar Alexander Bang Carlsen: Qualifying text as data: steps towards interpretatively valid and unbiased classification of textual data Classification of text has huge potential for digital social research allowing researchers to get qualitative information on social interactions at scale. Yet very tricky methodological concerns arise when wanting to classify large amounts of text. Many of the textual dataset newly available to social scientists are heterogeneous - spanning very different populations and practices. In such a setting concerns with interpretative validity and biased measurement error become particularly acute. In this talk I will present two of the dominant strategies within text classification which tries to handle these difficulties: computationally grounded theory and supervised classification. I note the limitations in both strategies and proceed to present a set of steps which seek to ensure both interpretatively valid categories and good measurement. The SODAS Data Discussion will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 noon. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Økonomisk Eksploratorium #8";"Økonomisk Institut og Politrådet ";"2019-12-05";"16:00";"2019-12-05";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Om Pisa undersøgelsen 2018.";"Økonomisk Eksploratorium – særarrangement om PISA 2018 Over en halv million 15-årige fra 80 lande/områder deltog i PISA-testen i 2018. Eleverne blev testet i læsning, matematik og naturfag hoveddomænet var læsning i 2018. Resultaterne af denne PISA-runde (PISA 2018) udgives den 3. december 2019, hvor der også åbnes op for at få adgang til PISA dataene på OECD’s hjemmeside. Ekstern lektor cand. stat. Hans Bay vil fortælle om denne PISA undersøgelsen med fokus på de danske resultater. PISA blev første gang gennemført år 2000 og er efterfølgende blevet gennemført hvert 3. år. Denne undersøgelse er dermed den 7. PISA undersøgelse. I den sidste PISA undersøgelse (PISA 2015) deltog 519.334 elever omfattende 73 lande/områder. Danmark har deltaget i alle runder. På Polit bruges PISA datasættene især på kurserne i stikprøveteori og på sommerskolen for videregående statistik. Endvidere er der skrevet en række BA og specialer med udgangspunkt i PISA. Det er OECD, der står for gennemførelsen af PISA og fra deres hjemmeside står der: PISA er OECD’s Program for International Student Assessment. Hvert tredje år tester man 15-årige elever fra hele verden i læsning, matematik og naturfag. Testene er designet til at måle, hvor godt eleverne behersker disse nøglefag for at være forberedt på virkelige situationer i den voksne verden. Hvorfor vælge 15-årige? Fordi de fleste lande i en alder af 15 år kan beslutte, om de vil fortsætte deres uddannelse eller ej. De skal derfor være rustet til det voksne liv. PISA offentliggør resultaterne af testen et år efter, at eleverne er testet for at hjælpe regeringerne med at forme deres uddannelsespolitik. PISA-cyklusser henvises til det år, hvor eleverne blev testet. Derfor betyder PISA 2000, at eleverne blev testet i 2000, PISA 2003, i år 2003 og så videre.Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Det er gratis, og det foregår altid på CSS i bygning 26, 3. sal (26.3.21) på torsdage kl. 16-18. Økonomisk Eksploratorium er et forum, hvor vi deler viden om nye forskningsresultater på Økonomisk Institut.Hvert semester afholder vi et arrangement om måneden, alle med et tema, som tager afsæt i aktuel forskning på instituttet. Med arrangementerne åbner Økonomisk Institut dørene ind til forskningsmiljøet og viser hvordan økonomi kan bruges praktisk. Det er en mulighed for studerende og alle andre med interesse for økonomi at møde forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium er for dig, der bare gerne vil vide mere, og for dig, der måske savner inspiration til valg af kurser og emner til opgaveskrivning. Du behøver ikke at være bange for at der kun bliver talt med formler og græske bogstaver. Økonomisk Eksploratorium foregår på en niveau hvor alle kan være med. Hver Eksploratorium giver plads til spørgsmål og dialog. Og så sørger vi for rigelige mængder kaffe og kage. " "SODAS Pop-up Talk w/ Eleanor J. Murray";"Copenhagen Center for Social Data Science (SODAS)";"2019-11-28";"9:00";"2019-11-28";"10:00";"CSS, Room 1.2.26.";"SODAS Pop-up Talk with Assistant Professor of Epidemiology, Eleanor J. Murray, ScD, Boston ";"Using the target trial framework to improve decision making when our data are too big, too small, or too complex Thursday the 28th of November, SODAS host a SODAS Pop-up Talk with Assistant Professor of Epidemiology, Eleanor J. Murray, ScD, Boston. She is currently an Assistant professor of epidemiology at Boston University School of Public Health. Her research is on causal inference methodology for improving evidence-based decision-making by patients, clinicians, and policy makers. She uses novel statistical methods to answer comparative effectiveness questions for complex and time-varying treatments using observational data and randomized trials when available, and individual-level simulation modeling when insufficient data exist in the time frame required for decision-making. She is currently applying these methods to a variety of medical conditions including HIV progression, cancer, psychiatric conditions, and cardiovascular disease. Abstract The target trial framework is a useful tool for causal decision making. It helps us frame and understand the questions we are asking of our data, avoid common biases, and correctly interpret the results of our research from both observational studies and from randomized trials. This framework can even be applied to simulation-based methods to gain insight into the causal consequences of exposures on networks and other settings where causal inference has been traditionally limited. However, maximizing the usefulness of the target trial framework requires a strong understanding of randomized trials – something often considered beyond the scope of epidemiology. This talk will describe the target trial framework, and the required assumptions, interpretation of results, and applications of this framework to making meaningful decisions using big data, small data, and complex data, and conclude with a brief discussion of the role of machine learning in causal inference. The SODAS Pop-up Talk will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 9:00 am - 10:00 am Thursday the 28th of November 2019. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk " "Women in Digital";"BCG in Denmark & Women in Tech DK";"2019-11-28";"17:30";"2019-11-28";"22:00";"BCG, Kalvebod Brygge 24, 1560 Copenhagen";"This event is a unique networking and learning opportunity for young female professionals and students interested in a digital career.";" Do you have a keen interest in technology and digital topics and want to discover the many different career paths within the digital field?Then join us and other likeminded females for a cozy and insightful evening, hosted by DigitalBCG and Women In Tech DK. This event is a unique networking and learning opportunity for young female professionals and students interested in a digital career.The evening will start with a welcome and mingling session. Next, our four exceptional speakers for the evening will share how technology is transforming industries and organizations as well as their personal paths and stories. Lastly, there will be an exciting panel discussion, focusing on digital career paths and possibilities.THE SPEAKERS ARE- Carin Forsling, Partner at BCG in Sweden- Gitte Frederiksen, Project Leader at BCG in Denmark- Hanh Nguyen, Senior Associate at BCG in Denmark- Alexandra Kampmann, Senior Venture Architect at RainmakingThe evening will end with dinner and drinks, where you will have the chance to connect further with fellow participants and peers.HOW TO APPLYWe welcome applications from female students with digital affinity and young professionals with 2-5 years of work experience in digital/technology.Application Deadline was November 17, 2019. Read more about the event on facebook here.We look forward to hearing from you!" "PhD defence w/ Ulf Aslak";"Copenhagen Center for Social Data Science (SODAS) and Department of Economics";"2019-11-28";"14:00";"2019-11-28";"16:30";"CSS, room 1.1.18";"Ulf Aslak will defend his PhD Thursday the 28th of November at CSS.";"Complexity in Social Data Towards mapping and understanding complex phenomena in big social systems, using data science Abstract It is now possible to accurately measure human behavior and understand it at large scales. Smartphones, social media sites and markets deliver a massive stream of data, that can be tapped into to understand previously unknown social phenomena. One of the things we are discovering is that human social systems are highly complex, displaying many of the hallmarks of complex systems, such as large scale self-organization and reoccurring patterns. At the same time, they are extremely chaotic, making it near impossible to accurately simulate or predict their behavior. Computational social science, or social data science, has therefore emerged as an interdisciplinary field of social scientists turned data scientists and vice versa, with the ambition to answer fundamental questions about human behavior. Operating within this field, this thesis explores complex phenomena in social and behavioral data. It spans a wide range of topics within different fields, from neuroscience to animal ecology, but is connected throughout by the idea of complexity. Contact the information at the Department of Economics (room 26.0.20) before the PhD defence in order to obtain a copy of the PhD thesis." "Ulf Aslak forsvarer sin ph.d.-afhandling ";"Samfundsvidenskab, UCPH";"2019-11-28";"14:00";"";"";"Københavns Universitet, Øster Farimagsgade 5, 1353 København K, CSS 1.1.18 ";"Ulf Aslak forsvarer sin ph.d.-afhandling:""Complexity in Social Data. Towards mapping and understanding complex phenomena in big social systems, using data science""";" Ulf Aslak forsvarer sin ph.d.-afhandling:""Complexity in Social Data. Towards mapping and understanding complex phenomena in big social systems, using data science"" Kandidat Ulf Aslak Titel ""Complexity in Social Data. Towards mapping and understanding complex phenomena in big social systems, using data science"". Tid og sted 28. november 2019 kl. 14:00, Københavns Universitet, CSS, Øster Farimagsgade 5, 1353 København K, CSS 1.1.18. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Mogens Fosgerau, Økonomisk Institut, Københavns Universitet, Danmark (formandSpecially appointed professor Petter Holme, Institute of Innovative Research, Tokyo Institute of Technology, JapanProfessor Francisco Camara Pereira, DTU Abstract It is now possible to accurately measure human behavior and understand it at large scales. Smartphones, social media sites and markets deliver a massive stream of data, that can be tapped into to understand previously unknown social phenomena. One of the things we are discovering is that human social systems are highly complex, displaying many of the hallmarks of complex systems, such as large scale self-organization and reoccurring patterns. At the same time, they are extremely chaotic, making it near impossible to accurately simulate or predict their behavior. Computational social science, or social data science, has therefore emerged as an interdisciplinary field of social scientists turned data scientists and vice versa, with the ambition to answer fundamental questions about human behavior. Operating within this field, this thesis explores complex phenomena in social and behavioral data. It spans a wide range of topics within different fields, from neuroscience to animal ecology, but is connected throughout by the idea of complexity. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut" "Danish Society for Economic and Social History";"Department of Economics UCPH";"2019-11-28";"09:00";"2019-11-29";"16:00";"Faculty Lounge 35.3.20, CSS 2.1.12";"Arranged by Casper Worm Hansen(University of Copenhagen) and Paul Sharp (University of Southern Denmark)";"Conference pageProgramme" "Mads Greaker, Oslo Metropolitan University";"Department of Economics UCPH";"2019-11-22";"13:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, 26.1.21B";"""R&D and Climate Clubs"". ENVIRONMENTAL ECONOMICS SEMINAR.";"""R&D and Climate Clubs"" Abstract Provision of global public goods necessitates coordination and cooperation between countries. This is particularly difficult in view of the fact that public goods encourage free riding. Moreover, if the costs of contributing is high, the incentive to free ride on others’ contributions becomes even more severe. A necessary part of the solution to sustain global cooperation is cost-reducing innovation. But the most advanced and premature technologies often require heavy start-up costs. This model considers a scenario where the chance of ending up as the single developer that harvests all the revenue of a breakthrough technology is too small to tempt investments. When countries do not have the incentive to undertake unilateral development of risky innovation projects, they should conduct research jointly. We consider an international environmental agreements (IEA) that includes an R&D club where members share the sales revenues from licensing their cost-reducing technology to non-members. An R&D and climate club can sustain a higher number of members and thus more abatement than a standard IEA. If the costs (abatement costs or research costs) are sufficiently high, the club will achieve full membership and the social optimal level of abatement. Contact person: Peter Birch Sørensen" "SODAS Data Discussion w/ Gregory Eady & Mette Foss Andersen";"Copenhagen Center for Social Data Science (SODAS)";"2019-11-22";"11.00";"2019-11-22";"12.00";"CSS, room 1.2.26.";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce the third SODAS Data Discussion of this fall where Gregory Eady and Mette Foss Andersen will present their work.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Assistant Professor at Department of Political Science, Gregory Eady will present his work followed by Mette Foss Andersen, who is a MSc student at the London School of Economics. Gregory Eady's substantive research agenda focuses on political behavior on social media, and his methodological work on developing quantitative methods and software for analyzing social media and public opinion survey data. Mette Foss Andersen is a Sociologist from the University of Copenhagen with 3 years of working experience in analyzing education and crime. Currently MSc Social Research student at the London School of Economics and Political Science. Interested in Quantitative Text Analysis, Big Data, and Social Network analysis. Gregory Eady: Political Information Sharing and Ideological Polarization on Social Media What explains the online information-sharing behavior of politicians and ordinary citizens? This article examines the sharing behavior of politicians and ordinary users by mapping the ideological foundation of political information shared on social media. As data, we use the near-universal currency of online political information exchange: URLs (i.e. web links). First, we introduce a new method (and statistical software) to unify the measurement of the political ideology, using social media sharing data to estimate the ideology of (1) politicians, (2) users, and (3) the news content that they share online. Second, we show empirically that legislators with more ideologically extreme voting records, and those who represent less competitive districts are more likely to share politically polarizing news. Third, we show however that it is ordinary users, not politicians, who share the most ideologically extreme content and contribute most to the polarized online news-sharing ecosystem. Our approach opens up many avenues for research into the communication strategies of legislators, citizens, and other actors who seek to influence political behavior and sway public opinion by sharing political information online. Mette Foss Andersen: ISIS-activity on Twitter. A social network approach on how radical Islamistic propaganda is spread on the platform The terrorist-organisation ISIS has over the last years re-structured to a less centralised institution, encouraging individuals to carry out attacks on their own. The primary foundation for recruitment is different social media platforms and research has shown that the organisation especially uses Twitter to broadcast its messages and recruit new fighters. This study aims to identify ISIS-activity on Twitter in the last weeks of ISIS’ self-promoted caliphate (13th of February to the 5th of March 2019) by the use of Machine Learning. The study also aims to conduct a Social Network Analysis on how the network is organised on Twitter and how ISIS-propaganda is spread on the platform. The corpus consists of 5,4 Mio tweets downloaded in the period, and 50.000 tweets from a crowd-sourcing initiative by the activist-organisation Anonymous who in 2014 asked volunteers with expertise in Arabic to report ISIS-activity on Twitter. The SODAS Data Discussion will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 noon. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Økonomisk Eksploratorium #7";"Økonomisk Institut og Politrådet ";"2019-11-21";"16:00";"2019-11-21";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Om klimaøkonomi.";"Miljø- og klimaøkonomi den 21. novemberHvordan kan man modellere miljø- og klimavirkninger af udviklingen i dansk økonomi, og hvordan påvirker Danmarks grønne omstilling samfundsøkonomien og de enkelte erhverv? Hvordan reagerer virksomhederne på miljøregulering? Hvordan kan man beregne et ”Grønt BNP” for Danmark? Det er nogle af de spørgsmål, som den miljø- og klimaøkonomiske gruppe på Økonomisk Institut arbejder med. Bidragsyderne i den miljøøkonomiske gruppe er Peter Birch Sørensen, Janek Bligaard, Peter Kjær Kruse-Andersen, August Emil Twile Nielsen, Peter Kjær Kruse-Andersen og Jonathan Leisner. Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Det er gratis, og det foregår altid på CSS i bygning 26, 3. sal (26.3.21) på torsdage kl. 16-18. Økonomisk Eksploratorium er et forum, hvor vi deler viden om nye forskningsresultater på Økonomisk Institut. Hvert semester afholder vi et arrangement om måneden, alle med et tema, som tager afsæt i aktuel forskning på instituttet. Med arrangementerne åbner Økonomisk Institut dørene ind til forskningsmiljøet og viser hvordan økonomi kan bruges praktisk.Det er en mulighed for studerende og alle andre med interesse for økonomi at møde forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium er for dig, der bare gerne vil vide mere, og for dig, der måske savner inspiration til valg af kurser og emner til opgaveskrivning. Du behøver ikke at være bange for at der kun bliver talt med formler og græske bogstaver. Økonomisk Eksploratorium foregår på en niveau hvor alle kan være med. Hver Eksploratorium giver plads til spørgsmål og dialog. Og så sørger vi for rigelige mængder kaffe og kage." "Mark Weder, Aarhus Business School";"Copenhagen Macro Distinguished Seminar";"2019-11-21";"13:00";"2019-11-21";"14:30";"CSS, Øster Farimagsgade 5, (lokale 26.1.21B), 1353 Kbh K";"""Do We Really Know that U.S. Monetary Policy was Destabilizing in the 1970s?"". Seminar arranged by Copenhagen Macro Distinguished Seminar";"""Do We Really Know that U.S. Monetary Policy was Destabilizing in the 1970s? "" Abstract The paper re-examines whether the Federal Reserve's monetary policy was a source of instability during the Great Inflation by estimating a sticky-price model with positive trend inflation, commodity price shocks and sluggish real wages. Our estimation provides empirical evidence for substantial wage-rigidity and finds that the Federal Reserve responded aggressively to inflation but negligibly to the output gap. In the presence of non-trivial real imperfections and well-identified commodity price-shocks, U.S. data prefers a determinate version of the New Keynesian model: monetary policy-induced indeterminacy and sunspots were not causes of macroeconomic instability during the pre-Volcker era. Contact person: Emiliano Santoro " "Andrew Oswald, University of Warwick";"";"2019-11-20";"14:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, 26.2.21";"""Why Is There So Much Midlife Distress in Affluent Nations"" Seminar arranged by the Department of Economics";"""Why Is There So Much Midlife Distress in Affluent Nations"" Abstract: This paper provides evidence of extreme levels of distress among midlife citizens in affluent nations. Yet, remarkably, these individuals are near the peak of their lifetime earnings and live in the healthiest and richest nations in human history. This is a troubling paradox that demands scientific and public-policy attention. The paper blends data on midlife suicide, sleeping problems, alcohol dependence, suicidal thoughts, poor concentration, forgetfulness, job strain, and severe headaches. The paper consciously eschews data on ‘happiness’ scores. We link our empirical analysis to, and find consistent ground within, three separate and currently disputatious literatures (on subjective well-being, distress among midlife Americans, and the ‘midlife crisis’). The paper’s key finding is not confined to cross-sections, nor to a single nation. Nor, it appears, is the pattern due to cohort effects. Overall, we argue that the phenomenon identified in the paper may now need to be addressed jointly by scholars across the fields of economics, psychology, psychiatry, epidemiology, political science, public health, and beyond. Andrew Oswald Contact person. Casper Worm Hansen" "An evening about MANIPULATION";"Carlsbergfondet, Ny Carlsbergfondet and Glyptoteket";"2019-11-14";"18:30";"2019-11-14";"20:30";"Dantes Plads 7";"Torsdag 14. november kl. 18.30-20.30 står den på misinformation, halve sandheder og lodrette løgne, når Carlsbergfondet, Ny Carlsbergfondet og Ny Carlsberg Glyptotek inviterer til årets sidste Videnskab|Lidenskab.";" Unfortunately, this event is in Danish. Torsdag 14. november kl. 18.30-20.30 står den på misinformation, halve sandheder og lodrette løgne, når Carlsbergfondet, Ny Carlsbergfondet og Ny Carlsberg Glyptotek inviterer til årets sidste Videnskab|Lidenskab. Under overskriften MANIPULATION mødes journalist Mikkel Frey Damgaard med professor i statskundskab ved Københavns Universitet, Rebecca Adler-Nissen, til en samtale om falske nyheder og den voksende spredning af dem på de sociale medier. Fotograf Henrik Saxgren fortsætter aftenen, når han interviewes om sin praksis, der placerer sig i krydsfeltet mellem dokumentation og kunst, mellem sandhed og iscenesættelse. Afslutningsvis vil Tine Bagh, Museumsinspektør på Glyptoteket, fortælle om oldtidens ekspert i kvindelig manipulation, selveste Dronning Kleopatra, med udgangspunkt i en stele fra hendes tid. Kunst, viden og øl Videnskab|Lidenskab, som er tilrettelagt af Carlsbergfondet, Ny Carlsbergfondet og Glyptoteket, sætter videnskabsfolk og billedkunstnere i stævne i Glyptotekets Festsal til live interviews og dialog. Aftenerne byder desuden på guidede nærstudier af udvalgte mesterværker fra Glyptotekets rige samling. Hver gang på baggrund af et aktuelt tema og hver gang med gratis pauseudskænkning af aftenens øl, der udvælges særligt til lejligheden af Carlsberg Laboratorium. Adler-Nissen og Saxgren Fake news har været på alles læber siden det amerikanske præsidentvalg i 2016. Rebecca Adler-Nissens forskning i international politik og diplomati har i de seneste år været fokuseret på årsagen til samt spredningen og konsekvenserne af falske nyheder på digitale medier. Som leder af forskningsprojektet Digital Disinformation, som er støttet af Carlsbergfondet, har Adler-Nissen leveret ny viden om den disinformation, der spredes strategisk med henblik på at vildlede, forvirre og præge opinion og politiske dagsordener. Senest stod Digital Disinformation bag en omfattende analyse af fænomenet samt en række anbefalinger til bekæmpelse af falske nyheder. Henrik Saxgren er oprindeligt uddannet reklamefotograf, men valgte hurtigt herefter at arbejde videre som dokumentarfotograf og fotojournalist og var i perioden 1985-91 fotoredaktør på det legendariske tidsskrift Press. Siden har han stået bag utallige udstillinger, udgivet en lang række bøger, ligesom hans værker er repræsenteret på flere danske kunstmuseer. Med sin suveræne visuelle fornemmelse for steder og mennesker har Saxgren gennem årene leveret fotografiske fortællinger fra ind- og udland. Fotografier, der trods deres ligefremme stil, synes at åbne op for yderligere og dybere indsigter, end hvad hans motiver kaster af sig ved første øjekast. Omkring årtusindskiftet skiftede Saxgrens kunstneriske stil fra sort/hvid-dokumentation til mere arrangerede kompositionser i farver. Det ligger til familien Videnskab og kunst ligger dybt i Carlsbergfamiliens DNA. Carlsbergs grundlægger, J.C. Jacobsen, moderniserede ølbrygningen gennem banebrydende videnskabelige metoder, ligesom han sikrede Carlsbergs fortsatte, massive støtte til videnskaben gennem etableringen af Carlsbergfondet. Historien gentog sig med sønnen Carl Jacobsen, der via overskuddet fra sit bryggeri og oprettelsen af Ny Carlsbergfondet blev den til dato største danske kunstmæcen, bl.a. ved donationen af sin enorme kunstsamling og Ny Carlsberg Glyptotek. Carlsbergfondet og Ny Carlsbergfondet hører i dag til de største i landet, når det gælder støtte til henholdsvis videnskab og kunst. Det er denne både strittende og levende arv, som Videnskab|Lidenskab samler sig omkring med det formål at skabe et format til at formidle nogle af videnskabens og kunstens mange indsigter. PRIS Almindelig entré til museet. Gratis med Glyptotekets Årskort. Bestil billetter herBemærk: Der er begrænset antal billetter til arrangementet. Billetter refunderes ikke, men må gerne gives videre. Bestil bord her, hvis I ønsker at spise i caféen. Præsenteret af: Carlsbergfondet, Ny Carlsbergfondet og Glyptoteket." "CPH Gammathon";"BCG, Boston Consulting Group";"2019-11-14";"17:00";"2019-11-14";"23:00";"BCG CPH, Kalvebod Brygge 24, 1560 Copenhagen, Denmark";"Are you passionate about advanced analytics and ready for a hackathon? Join us for a fun evening where you get to showcase your programming skills in a practical business problem case, using theory and tools from computer science and machine learning.";" Are you passionate about advanced analytics and ready for a hackathon? Join us for a fun evening where you get to showcase your programming skills in a practical business problem case, using theory and tools from computer science and machine learning. The case is developed by our Advanced Analytics & Data Science team called BCG Gamma, and should challenge even the most advanced students. The solution that creates the most value for the case client will be rewarded. Foods and drinks will be served on the evening. REQUIREMENTS: Relevant academic background Basic knowledge of R or Python Fluent in English HOW AND WHEN TO APPLY: Please apply by submitting: CV University grades achieved until now High school transcripts Apply before November 4, 2019 We look forward to a challenging evening with you! Apply here: on.bcg.com/CPHgammathonnovember2019 For additional information or queries, please reach out to Deepal Shah." "Mining discourse patterns of hate and counter speech in Facebook";"Copenhagen Center for Social Data Science (SODAS)";"2019-11-08";"11:00";"2019-11-08";"12:30";"CSS, room 1.2.26.";"The speaker for the second SODAS Lecture of the fall will be post-doctoral researcher at University of Hamburg, Gregor Wiedemann.";"Text as Data Textual data abound on human communication. We leave textual traces on a great variety of our everyday doings. Our intimate concerns are formulated in google searches, we coordinate community initiatives in Facebook groups and articulate political ideologies on social media platforms. Text has become a fundamental medium through which many people interact, express and position themselves. In Digital Society the analysis, categorization and organization of textual content is off out most importance to governments, businesses, the press and academics alike. The field of computational text analysis is one of the central fields within the wider data revolution. Many methods are being imported into the social science from other fields, especially computer science. But concerns with text models biases and interpretative validity is becoming a growing concern within academia and beyond. This lectures series starts from the premise that text is not just data but social data. Texts are tied to specific contexts and cultural practices, properties that constitutes text data big potential, but also its high risk of being misinterpreted and misclassified - ruining both interpretation and measurement. More generally textual data presents challenges that ranges from core concerns within machine learning, to deep methodological issues in the social science regarding quantification, interpretation and how to combine qualitative and quantitative modes of analysis. In this lecture series we have invited scholars how have made valuable contributions to the interdisciplinary field of computational text analysis. Mining discourse patterns of hate and counter speech in Facebook Post-doctoral researcher at University of Hamburg, Gregor Wiedemann, will give a lecture. Gregor Wiedemann works as a researcher in the Language Technology processing (NLP) group at Hamburg University (Germany). He studied political science and computer science in Leipzig and Miami. In 2016, he received his doctoral degree in computer science for his dissertation “Text Mining for Qualitative Data Analysis in the Social Sciences”. Wiedemann has worked in several projects in the fields of digital humanities and computational social science where he developed methods and workflows to analyze large text collections. Abstract Social media networks offer their users the opportunity to discuss the numerous contents of traditional mass media. Contrary to the idea of “echo chambers”, on Facebook pages of mass media providers people with very different political attitudes meet. There, users are confronted increasingly with hate speech comments, but also with efforts to contradict abusive language and discrimination with counter speech. The talk presents findings from a recent study of such discursive hate- and counter-speech patterns in German Facebook. Based on a large corpus of one million user comments from 2017, a framework for computer-aided critical discourse analysis of social media data is introduced. With the help of topic modeling and text classification, the material is structured in such a way that allows for precise navigation through thematically and categorically filtered subsets allowing for quantitative statistics as well as a seamless integration with qualitative data analysis steps. In a reflective summary of the methodological proceeding, I also give an outlook on promising innovations in natural language processing for automatic analysis of text as social data. The lecture will take place in building 1, 2ndfloor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Magnus Tolum Buus forsvarer sin ph.d.-afhandling";"Økonomisk Institut";"2019-11-01";"14:30";"";"";"Økonomisk Institut, CSS 2.1.12";"Magnus Tolum Buus forsvarer sin ph.d.-afhandling:""How Firms Expand in Export Markets. Evidence from Danish Data on Exporter-Importer Relationships and Export Promotion Services""";"Magnus Tolum Buus forsvarer sin ph.d.-afhandling:""How Firms Expand in Export Markets. Evidence from Danish Data on Exporter-Importer Relationships and Export Promotion Services"" Kandidat: Magnus Tolum Buus Titel: ""How Firms Expand in Export Markets. Evidence from Danish Data on Exporter-Importer Relationships and Export Promotion Services"". Tid og sted 1. november 2019 kl. 12:15, Københavns Universitet, Øster Farimagsgade 5, 1353 København K, CSS 2.1.12. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Bertel Schjerning, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Jim Tybout, Department of Economics, Penn State, USAAssociate Professor Kalina Manova, University Collee London, UK Abstract This PhD dissertation consists of three self-contained chapters that all study separate aspects of firms’ expansion in export markets. They share a common focus on how firms grow in foreign markets and how firm-specific trade policies support this growth. The first chapter documents that Danish firms face considerable network effects in export markets. This means that exporters with large buyer networks more easily form more new buyer relationships. This finding has implications for exporters’ expansion strategies. I show that exporters set low prices upon entry to accumulate buyers, then increase prices as their network grows. I provide a simple theoretical framework through which this behavior can be rationalized. These finding make trade policies aiming at matching exporters with foreign importers more efficient. The second chapter examines the effects of a particular firm-specific trade policy, namely export promotion services (EPS). We identify the causal impact by exploiting random targeting by the Trade Council in Denmark across firms. We find that EPS boost firms’ export sales on existing markets, leaving export prices and product quality largely unchanged. This means that EPS effectively shift out exporters’ demand in foreign markets. The third chapter study the dual impact of EPS on foreign demand and the costs of export participation. Structural estimation shows that EPS increase foreign demand (in line with chapter two), and that EPS substantially reduces export costs for continuing exporters, whereas entry costs are left unchanged. This means that EPS support maintenance of existing export markets, rather than entry into new ones. Simulations show that this finding is important for how to increase export participation and export revenue through firm-specific trade policies: Improving the quality is more efficient than lowering the price. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut." "Anne Toft Hansen forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2019-11-01";"13:00";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Anne Toft Hansen forsvarer sin ph.d.-afhandling:""Topics in Economics of Higher Education: Choices and Returns""";"Anne Toft Hansen forsvarer sin ph.d.-afhandling:""Topics in Economics of Higher Education: Choices and Returns"". Kandidat Anne Toft Hansen Titel ""Topics in Economics of Higher Education: Choices and Returns"". Tid og sted 1. november 2019 kl. 13:00, Økonomisk Institut, Københavns Universitet, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21 (Det Store Seminarrum, 2. sal). Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Lektor Miriam Wüst, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Björn Öckert, Institute for Evaluation of Labour Market and Education Policy, Uppsala, SverigeProfessor Arnaud Chevalier, Royal Holloway, University of London, UK Abstract This thesis comprises of three self-contained chapters each dealing with different aspects of higher education. Chapter 1 examines gender differences in the choice of education. The results suggest that females anticipate the wage gender gap when applying for higher education. Furthermore, the expected probability of having children is a determinant of females’ choice of education and not for males’ choice. (joint work with Helene Willadsen) Chapter 2 examines the effect of university location on the choice of where to live and work of Danish university graduates. The chapter provides evidence that pushing university applicants to study in a non-metropolitan region will result in some of these graduates staying and entering the labor market in non-metropolitan regions. Chapter 3 exploits a Danish grading reform that causes variation in university graduates' GPA. The findings show that a higher GPA caused by the grading reform yields higher earnings in the first two years after graduation, thereafter the signaling effect goes to zero. (joint work with Ulrik Hvidman and Hans Henrik Sievertsen) Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut." "SODAS Talk w/ Clara Vandeweerdt";"Copenhagen Center for Social Data Science (SODAS)";"2019-11-01";"11:00";"2019-11-01";"12:00";"CSS, Room 1.2.26";"PhD student, Clara Vandeweerdt, from the Massachusetts Institute of Technology will present at a SODAS Talk on Friday the 1st of November 2019. ";"SODAS Talk w/ Clara Vandeweerdt Higher volume, same tune: How political talk radio reacts to events Clara Vandeweerdt is a PhD candidate at the MIT Political Science Department with an interest in public opinion, quantitative research methods, and climate politics. Her recent work includes a project on political talk radio, survey experiments on group-based political thinking, and a model of global climate opinion. She has degrees in international relations and in experimental psychology from the Fletcher School of Law and Diplomacy at Tufts University, and from the University of Leuven. Abstract In mainstream media, real-world events strongly influence the agenda--the political topics that media elites talk about. However, it is an open question whether events are as powerful at shaping the discussion in partisan media--and whether they change anything at all about the (ideologically motivated) way topics are framed. In this paper, I address this question by looking at talk radio speech before and after newsworthy events. Using natural language processing combined and crowd-sourcing, I analyze almost 1.5 million hours of talk radio, coming from hundreds of political talk radio shows--by far the largest amount of content processed in a radio study to date. I find that events create big spikes in the number of times a relevant political topic is mentioned on talk radio. However, events are not nearly as effective at closing the gap between liberal and conservative shows in how those topics are framed. If events turn up the volume of the discussion, without changing how sorted that discussion is, they could turn a shared experience into a polarizing moment. The SODAS Talk will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11:00 am - 12:00 noon the 1st of November 2019. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@sodas.ku.dk." "Discrimination and radicalization: A project with google data";"Forskningskollektivet";"2019-10-30";"15:30";"2019-10-30";"17:00";"Øster Farigmagsgade 5, room 4.1.18";"Friedolin Merhoud, a new Assistant Professor at the Department of Sociology, will present. ";" This Wednesday we have an interesting presentation by Friedolin Merhout, a new Assistant Professor at the Department of Sociology. Friedolin uses computational and experimental methods to examine intergroup relations leveraging digital trace, text, survey, and administrative data. At Forskningskollektivet, he will present a research project that uses Google search data to investigate the relationship between discrimination and radicalization. The project illustrates how digital trace data can shed led on phenomena hard to analyze using conventional social science methodology." "Frederik Plum Hauschultz forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2019-10-30";"14:00";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Frederik Plum Hauschultz forsvarer sin ph.d.-afhandling:""Learning, Search, and Competition in Pharmaceutical Markets""";"Frederik Plum Hauschultz forsvarer sin ph.d.-afhandling:""Learning, Search, and Competition in Pharmaceutical Markets"" Kandidat: Frederik Plum Hauschultz Titel ""Learning, Search, and Competition in Pharmaceutical Markets"". Tid og sted 30. oktober 2019 kl. 14:00, Økonomisk Institut, Københavns Universitet, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21 (Det Store Seminarrum, 2. sal). Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Lektor Nick Vikander, Økonomisk Institut, Københavns Universitet (formand)Associate professor Mitsuru Igami, Department of Economics, Yale University, USA Professor Pierre Dubois, Toulouse School of Economics, Frankrig Abstract This PhD dissertation consists of three self-contained chapters that all study separate aspects of supply and demand in the market for pharmaceutical products. The first chapter focuses on the role of past consumption experiences in shaping patients’ purchase decisions. In the chapter I estimate a dynamic structural model of consumer learning which explains key patterns in the data, in particular the fact that patients’ propensity to switch treatment and quit treatment decreases sharply at every pharmacy visit. The second chapter, which is written together with Anders Munk-Nielsen, studies price cycles in the Danish pharmaceutical markets. The price cycles are signified by large and sudden price increases followed by slow and gradual downward price movements that can take years to come back. We use transaction data to estimate a demand curve in these markets, and solve a dynamic Bertrand competition model that incorporate our estimated demand curve, and is able to produce these price patterns. The third chapter, which is written together with Anders Munk-Nielsen, studies pricing equilibria when consumers search sequentially for products. We use the fact that physicians who write prescriptions in Denmark choose brands from an alphabetically ordered drop-down list, which gives a strategic advantage to being ranked first. We show that firms respond to this advantage in their pricing, but in a surprising way. In small markets, the highest ranked firm charges the highest price, but in larger markets, high ranked firms charge lower prices. We solve a stylized model and show that it can reproduce this flip in the price rank gradient. Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut. " "Willemien Kets, University of Oxford";"Microeconomic Research Unit (MRU)";"2019-10-29";"10:30";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""A Theory of Strategic Uncertainty and Cultural Diversity"" Seminar arranged by Microeconomic Research Unit (MRU)";"""A Theory of Strategic Uncertainty and Cultural Diversity"" Abstract This paper presents a novel mechanism through which culture can affect behavior. Cultural diversity matters because it influences the degree of strategic uncertainty that players face. We model this by building on research in psychology on perspective taking. The model delivers comparative statics that are broadly consistent with experimental evidence and that are difficult to obtain with existing methods. In addition, it can account for a variety of disparate evidence, including why inefficient social customs persist in some societies but not in others and why exclusively targeting incentives may not help with resolving collective action problems. Contact person: Christina Gravert" "Randall Morck, Alberta School of Business ";"Department of Economics, University of Copenhagen";"2019-10-28";"14:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, 26.2.21";"""Asset Prices, Corporate Actions, and Bank of Japan Equity"". Seminar arranged by the Department of Economics. ";"""Asset Prices, Corporate Actions, and Bank of Japan Equity"" Abstract:Since 2010, the Bank of Japan (BOJ) has purchased stocks to boost domestic firms’ valuations to increase GDP growth. The stock return elasticity with respect to BOJ purchases relative to the previous month’s market capitalization is around 1.6 on the day of the purchase and decreases across longer horizons. Over a quarter, BOJ share purchases worth 1% of total assets correspond to an increase of 1% in returns and a 0.27% increase in total assets. BOJ share purchases predict equity issuances but not debt issuances. However, this largely reflects increased cash and short-term investments. This unconventional monetary stimulus thus may boost share prices and encourages equity issuances, but is ultimately not well transmitted into real tangible capital investment. PaperRead more Contact person: Casper Worm Hansen " "Frokostoplæg: When virtuous paedophiles gather on the internet";"Forskningskollektivet";"2019-10-28";"12:00";"2019-10-28";"13:00";"Øster Farigmagsgade 5, room 4.1.18";"";" The second frokostoplæg of the month will be held by Marie and Line, who will tell about their bachelor project: Did you know that there exist pedophiles who do not act upon their attraction? And that they have an online forum called ‘Virtuous Peadophiles’ where they support each other in avoiding sexual abuse of children? We have studied how the societal persona of the pedophile both limits and makes opportunities for the user’s self-understanding as well as the possibilities of feeling understood and accepted by others. In doing so we have used a qualitative thematical analysis of 600 pages of posts and comments from the website. We have, simultaneously, looked on the user’s negotiation of the figure of the virtuous pedophile which is dependent on the internal and external hierarchies of the forum. During the lunch break we will tell a bit about or results and our considerations and experiences with this atypical empiricism and the controversial subject. We hope that our presentation can inspire and encourage others to work with a controversial subject and different empiricism." "A network approach to topic models";"Copenhagen Center for Social Data Science (SODAS)";"2019-10-25";"11:00";"2019-10-25";"12:30";"CSS, room 1.2.26.";"The theme for this fall's lecture series is Text as Data. The first lecturer is Tiago de Paula Peixoto, who is Associate Professor at Central European University, Department of Network and Data Science.";"Text as Data Textual data abound on human communication. We leave textual traces on a great variety of our everyday doings. Our intimate concerns are formulated in google searches, we coordinate community initiatives in Facebook groups and articulate political ideologies on social media platforms. Text has become a fundamental medium through which many people interact, express and position themselves. In Digital Society the analysis, categorization and organization of textual content is off out most importance to governments, businesses, the press and academics alike. The field of computational text analysis is one of the central fields within the wider data revolution. Many methods are being imported into the social science from other fields, especially computer science. But concerns with text models biases and interpretative validity is becoming a growing concern within academia and beyond. This lectures series starts from the premise that text is not just data but social data. Texts are tied to specific contexts and cultural practices, properties that constitutes text data big potential, but also its high risk of being misinterpreted and misclassified - ruining both interpretation and measurement. More generally textual data presents challenges that ranges from core concerns within machine learning, to deep methodological issues in the social science regarding quantification, interpretation and how to combine qualitative and quantitative modes of analysis. In this lecture series we have invited scholars how have made valuable contributions to the interdisciplinary field of computational text analysis. A network approach to topic models Our first speaker of the fall lecture series is Associate Professor at Central European University, Department of Network and Data Science, Tiago de Paula Peixoto. Tiago P. Peixoto is a physicist and is currently an Associate Professor at the Department of Network and Data Science at the Central European University in Budapest, and external researcher at the ISI Foundation, Turin. He obtained his PhD at the University of São Paulo, and his Habilitation in Theoretical Physics at the University of Bremen. He was a Humboldt Foundation fellow, and the recipient of the Erdős-Rényi Prize (2019) awarded by the Network Science Society. His research focuses on characterizing, identifying and explaining large-scale patterns found in the structure and function of complex network systems — representing diverse phenomena with physical, biological, technological, or social origins — using principled approaches from statistical physics, nonlinear dynamics and Bayesian inference. Abstract One of the main computational and scientific challenges in the modern age is to extract useful information from unstructured texts. Topic models are one popular machine-learning approach that infers the latent topical structure of a collection of documents. Despite their success—particularly of the most widely used variant called latent Dirichlet allocation (LDA)—and numerous applications in sociology, history, and linguistics, topic models are known to suffer from severe conceptual and practical problems, for example, a lack of justification for the Bayesian priors, discrepancies with statistical properties of real texts, and the inability to properly choose the number of topics. We obtain a fresh view of the problem of identifying topical structures by relating it to the problem of finding communities in complex networks. We achieve this by representing text corpora as bipartite networks of documents and words. By adapting existing community-detection methods (using a stochastic block model (SBM) with nonparametric priors), we obtain a more versatile and principled framework for topic modeling (for example, it automatically detects the number of topics and hierarchically clusters both the words and documents). The analysis of artificial and real corpora demonstrates that our SBM approach leads to better topic models than LDA in terms of statistical model selection. Our work shows how to formally relate methods from community detection and topic modeling, opening the possibility of cross-fertilization between these two fields. The lecture will take place in building 1, 2ndfloor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@samf.ku.dk." "Økonomisk Eksploratorium #6";"Økonomisk Institut og Politrådet ";"2019-10-24";"16:00";"2019-10-24";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Om udviklingsøkonomi.";"Udviklingsøkonomi den 24. oktober Den 24. oktober er FN dag og FN’s udviklingsmål diskuteres overalt i verden: Hvilke projekter arbejder udviklingsøkonomerne ved Økonomisk Institut med? I hvilke lande er udviklingsøkonomerne aktive og hvem samarbejder de med? Hvilken type forskning, rådgivning og kapacitetsopbygning udføres? Hvad viser udviklingsøkonomernes forskning om fattigdom og ulighed, erhvervsudvikling, politisk økonomi, udviklingsbistand mv.? Oplægningsholderne vil være John Rand, Henrik Hansen, Thomas Markussen og Finn Tarp. Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium. Det er gratis, og det foregår altid på CSS i bygning 26, 3. sal (26.3.21) på torsdage kl. 16-18. Økonomisk Eksploratorium er et forum, hvor vi deler viden om nye forskningsresultater på Økonomisk Institut. Hvert semester afholder vi et arrangement om måneden, alle med et tema, som tager afsæt i aktuel forskning på instituttet. Med arrangementerne åbner Økonomisk Institut dørene ind til forskningsmiljøet og viser hvordan økonomi kan bruges praktisk.Det er en mulighed for studerende og alle andre med interesse for økonomi at møde forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium er for dig, der bare gerne vil vide mere, og for dig, der måske savner inspiration til valg af kurser og emner til opgaveskrivning. Du behøver ikke at være bange for at der kun bliver talt med formler og græske bogstaver. Økonomisk Eksploratorium foregår på en niveau hvor alle kan være med. Hver Eksploratorium giver plads til spørgsmål og dialog. Og så sørger vi for rigelige mængder kaffe og kage. " "Viral hate: Who is exposed to hatred?";"Forskningskollektivet";"2019-10-23";"15:30";"2019-10-23";"17:00";"Øster Farigmagsgade 5, room 4.1.18";"From Survey to artificial intelligence in the study of online political debates, Tobias Bornakke, Analyse & Tal";" From Survey to artificial intelligence in the study of online political debates, Tobias Bornakke, Analyse & Tal Surveys are often the foundation for how we understand society and societal changes. Where the survey method excels in its ability to capture our reflections upon a given subject, it often comes short when we try to capture and describe behavior over time. In this presentation we show how artificial intelligence, in the shape of a machine learning algorithm (in Danish) to identification of hateful language, offers a new and different view on the tone in the online political debate. The algorithm enables us to follow what political issues that especially provokes hate speech while also offering a more nuanced insight into the extent and development of hate speech over time. We conclude the presentation by discussing how studies of behavior enables us to raise new societal agendas and perspectives. " "Andreea Enache, Stockholm School of Economics";"Department of Economics UCPH";"2019-10-22";"10:30";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"""Quantile Analysis of ""Hazard-Rate"" Game Models"", joint with Jean-Pierre Florens from Toulouse School of Economics. MRU-seminar arranged by the Department of Economics";"""Quantile Analysis of ""Hazard-Rate"" Game Models"" Abstract This paper consists of an econometric analysis of a broad class of games of incomplete information. In these games, a player's action depends both on her unobservable characteristic (the private information), as well as on the ratio of the distribution of the unobservable characteristic and its density function (which we call the ""hazard-rate""). The goal is to use data on players' actions to recover the distribution of private information. We show that the structural parameter (the distribution of the unobservable characteristic) can be related to the reduced form parameter (the distribution of the data) through a quantile relation that avoids the inversion of the players' strategy function. We estimate non-parametrically the density of the unobserved variables and we show that this is the solution of a well-posed inverse problem. Moreover, we prove that the density of the private information is estimated at a root-n speed of convergence. Our results have several policy applications, including better design of auctions and public good contracts. Contact person: Johan Lagerlöf" "SODAS Talk w/ Giuseppe Alessandro Veltri";"Copenhagen Center for Social Data Science (SODAS)";"2019-10-11";"11:00";"2019-10-11";"12:00";"CSS, Room 1.2.26.";"Associate Professor, Giuseppe Alessandro Veltri, from University of Trento will present his research at a SODAS Talk on Friday the 11th of October 2019. ";"Partitioning methods applied to cognitive sociology segmentation: Risk perception of European parents about online hazards Giuseppe Alessandro Veltri from University of Trente will present his research at a SODAS Talk on Friday the 11th of October 2019. Giuseppe Alessandro Veltri holds a BSc in Sociology from the University of Siena, an MSc in Social Research Methods (Statistics) from the Methodology Department of the London School of Economics (LSE) and a PhD in Social Psychology from the LSE. He is Associate Professor of Research Methodology and Cognitive Sociology at the Department of Sociology and Social Research of the University of Trento. He was Senior Lecturer at University of Leicester. He has been Lecturer at University of East Anglia and a scientific fellow at the European Commission JRC Institute for Prospective Technological Studies (IPTS). He has published in scientific journals such as Nature, PLOS One, Computers in Human Behavior, Public Understanding of Science, Big Data & Society and others. His current research agenda and research-led teaching focus on the following areas: 1) The study of public opinion dynamics and social representations using a computational social science framework; 2) The development of research methodologies of a computational nature to social science problems 3) the intersection between sociology and behavioural sciences in the form of cognitive sociology. Abstract In this study, we have carried out research about European parents’ risk perception of online hazards concerning their children using a survey aimed at exploring different dimensions and determinants of risks. In this research, the target population was citizens aged 25–65, with children aged 6–14 living in their household and under their responsibility or care. The survey was conducted by computer-assisted web interviews (CAWI) using online panels in France, Germany, the Netherlands, Spain, Poland, Italy, Sweden, and the United Kingdom, with 800 interviews per country (total N = 6,400). We carried out a two stages analysis. In the first part, we have explored the mapping and grouping of hazards based on participants’ assessment. In the second part, we carried a cognitive style segmentation of subjects based on the way how the risk perception judgements are made. This approach draws upon a cognitive sociology approach, which proposed the idea of “thought collectives” or “thought communities” identifiable by means of shared cultural schemas. The analysis was carried out using novel techniques like Correlational Class Analysis (Boutlyline, 2017) and Relational Class Analysis (Goldber, 2011). Results indicated the presence of three different cultural schemas defined groups that cut across countries and socio-demographic characteristics. Implications for the study of risk perception will be discussed. The SODAS Talk will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11:00 am - 12:00 noon the 11th of October 2019. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@samf.ku.dk " "Frokostoplæg: Managers of credit institutions: A financial elite";"Forskningskollektivet";"2019-10-10";"12:00";"2019-10-10";"13:00";"Øster Farigmagsgade 5, room 4.1.18";"Come and join us for the first frokostoplæg of the month, which will be held by Majsa, who will tell about her bachelor project";" The first frokostoplæg of the month will be held by Majsa, who will tell about her bachelor project: There has been an increased focus on financial elites and a critique of them in the population since the financial crisis in 2008. Especially the banking sector has been criticized in the wake of the financial crisis and the scandal about money laundering. But what special power does these managers possess that can make the secretary of economy and business remove the bank’s payment from the bank-packages and as the CEO’s have to withdraw because of scandals still receive a golden handshake of millions of kroners? I have tried to approach this subject in a sociological way in my bachelor project by examining which structures of power that characterizes the managers of credit institutions in Denmark, as well as how these structures have changed from 1910 to 2016. The focus of the presentation will be on the SODAS-perspectives of the bachelor project: methodically, I have coded a bunch of ORC-scanned biographies of 116 editions of ‘Kraks Blå Bog’ into a data set. The advantage of this is, that one can do more than contemporary analyses (as e.g. web-scraping), but that one can do historical analyses as well. I wrote my bachelor project in cooperation with Anton Grau Larsen and Christoph Ellersgaard (amongst others) under the research project ‘LongLinks’ at CBS, where I am now employed and continue to work on the project. They are very positive about interested students and are willing to share their data, so there is a possibility that you can get permission to use the data from this and other projects (read more here)." "Pedersen & Albris: Social science in a digitalized world";"Forskningskollektivet";"2019-10-09";"16:00";"2019-10-09";"17:30";"Øster Farigmagsgade 5, room 4.1.18";"In the research of social sciences and the digital reality, Morten and Kristoffer will tell about how new types of data and methods change and expand the possibilities of research. ";" In the research of social sciences and the digital reality, Morten and Kristoffer will tell about how new types of data and methods change and expand the possibilities of research. This will be unraveled /discussed in three parts: Firstly, an examination on why most anthropologists are solely interested in ethnographic and qualitative methods? Can’t there be a quantitative anthropology? This will be illuminated further in a discussion of how ethnography and quantitative methods can be complimentary, exemplified in a Ph.D.-project about disaster preparedness. Lastly, all of these considerations will be brought into relevance in a presentation of the ERC-financed project: DISTRACT (The Political Economy of Attention in Politicized Denmark), which involves a wide range of methods: both traditionally ethnographic fieldwork, machine learning and other data sciences. " "SODAS Data Discussion w/ Friedolin Merhout ";"Copenhagen Center for Social Data Science (SODAS)";"2019-10-04";"11.00";"2019-10-04";"12.00";"CSS, room 1.2.26.";"Copenhagen Center for Social Data Science (SODAS) is hosting the second Data Discussion of the fall. This time Assistant Professor from the Sociology Department, Friedolin Merhout, will present.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Friedolin Merhout is Assistant Professor at Department of Sociology and will present his work. Friedolin Merhout: Airsent: A Sentiment Dictionary for the Social Sciences The growth and accessibility of textual data from online sources holds great promise for a variety of social scientific applications. At the same time, the volume of these newly available data poses challenges to traditional social science methods and calls for different approaches. These quantitative or automated text analysis approaches range from long-standing techniques such as keyword counts to novel unsupervised methods for topic discovery. Among these techniques, dictionary-based sentiment analysis is particularly suited for the study of social relations but existing dictionaries suffer from known limitations for these applications. This talk will outline a project combining online rating and review data from Airbnb with crowd-sourced sentiment evaluations to generate a sentiment dictionary specifically tailored to the study of social relations. The SODAS Data Discussion will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 pm. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@samf.ku.dk. " "Social Data Science in Sociology w/ Anders Blok";"Forskningskollektivet";"2019-10-02";"17:00";"";"18:30";"Øster Farigmagsgade 5, room 4.1.18";"Social Data Science-October in Forskningskollektivet is opened by a presentation by Associate Professor from The Department of Sociology, Anders Blok, who will give an introduction to Social Data Science in Sociology. ";" Social Data Science-October in Forskningskollektivet is opened by a presentation by Associate Professor from The Department of Sociology, Anders Blok, who will give an introduction to Social Data Science in Sociology. He writes himself: ""What is being internally recognized as either 'computational social science' or 'digital methods' is in UCPH language 'social data science'. What does this term actually mean and to which degree can we speak of old sociological wine in new digital bottles? The presentation will try to draw the headlines based on the participation of Anders Blok in the interdisciplinary research project ""Social Fabric/Sensible DTU""." "Alessandro Tarozzi with Digvijay Negi and Derek Headey, Pompeu Fabra ";"Department of Economics UCPH";"2019-09-27";"13:00";"2019-09-27";"14:15";"CSS, Øster Farimagsgade 5, building 26 (room 26.2.21)";" ""The Rise and Fall of SES gradients in heights around the world"". Seminar arranged by the Department of Economics";"""The Rise and Fall of SES gradients in heights around the world"" Abstract The positive association between measures of wealth and health is well-documented both over time and across space. Height is often used as a ""stock"" indicator of health, as it also depends on net nutrition and disease during critical growth periods. Average height in a population is sometimes used as an indicator of economic development, and many countries have indeed experienced secular increases in stature during periods of rapid economic growth. However, in LDCs the cross-sectional association between adult height and GDP has been shown to be weak. We show, first, that while more recent data confirm this weak correlation for adults, the association is strong, positive, and growing with age among young children. Using individual-level longitudinal data from a number of LDC, we then confirm the existence of a rise and fall of SES gradients in height, and we show that for both boys and girls the inversion of the slope takes place around puberty. We conjecture that early marriage and child-bearing patterns may in part explain the flattening of the association between SES and height in adulthood, particularly for girls. Contact person: Neda Trifkovic" "Vivien Lewis, Deutsche Bundesbank";"Department of Economics UCPH";"2019-09-26";"13:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""Going the Extra Mile: Effort by Workers and Job-Seekers"" Macroeconomics seminar arranged by the Department of Economics";"""Going the Extra Mile: Effort by Workers and Job-Seekers"" Abstract: We introduce two types of effort into an otherwise standard labor search model to examine indeterminacy and sunspot equilibria. Variable labor effort gives rise to increasing returns to hours in production. This makes workers more valuable and contributes to self-fulfilling profit expectations, raising the likelihood of indeterminacy. Variable search effort makes workers search more intensively in a tighter labor market, which alleviates congestion and reduces the likelihood of indeterminacy. Indeterminacy disappears completely when vacancy posting costs are replaced with hiring costs. " "DataBeers";"The DataBeersCPH organizing team";"2019-09-23";"18:30";"2019-09-23";"20:30";"H15 (Halmtorvet 15, 1700 København, Denmark).";"DataBeers is open to all, there will be short and engaging talks about the latest advances in data science, many interesting people to network with and - of course - plenty of free beer. The event is sponsered by SODAS and DTU Compute.";"DataBeers is sponsered by SODAS and DTU Compute. Hello data and beer lovers, We are excited to announce the latest DataBeers event featuring an incredible lineup of speakers. Topics will include Twitter bots, the spread of fake news, data privacy and more! This event will feature guest speaker Roger McNamee – author, businessman, investor, venture capitalist and musician – who will discuss his latest book ""Zucked: Waking Up to the Facebook Catastrophe"". Roger was an early mentor for Mark Zuckerberg and investor in Facebook. The event is free, but registration is requiered." "Facing Facebook with Roger McNamee";"Copenhagen Center for Social Data Science (SODAS) & BLOXHUB Science Forum ";"2019-09-23";"15:00";"2019-09-23";"17:00";"The Cerimonial Hall, Frue Plads 4, 1168 Copenhagen K";"SODAS is very happy to announce that Roger McNamee is visiting The University of Copenhagen. Roger McNamee will talk about how Facebook has inflicted to society across virtual and physical space - and what can be done to try and stop it.";" The early mentor to Mark Zuckerberg & Facebook investor, Roger McNamee, visits The University of Copenhagen the 23rd of September. He will highlight the serious damage Facebook has inflicted to society across virtual and physical space and what can be done to try and stop it. Program:15:00 Roger McNamee16:00 Science Forum Panel Debate16:45 Wine Reception We are very honored to host Roger McNamee and therefore, the event is taking place in The Ceremonial Hall. The event is free, but registration is required. Click here to register!" "Laurs Røndbøll Leth forsvarer sin ph.d.-afhandling ";"Økonomisk Institut, Københavns Universitet";"2019-09-23";"14:30";"";"";"Københavns Universitet, CSS, Øster Farimagsgade 5, bygning 4, lokale 4.2.26";"Laurs Røndbøll Leth forsvarer sin ph.d.-afhandling:""Essays on High-Frequency Market Microstructure: Herding and Volume-Synchronized Probability of Informed Trading""";"Laurs Røndbøll Leth forsvarer sin ph.d.-afhandling:""Essays on High-Frequency Market Microstructure: Herding and Volume-Synchronized Probability of Informed Trading"" Kandidat Laurs Randbøll Leth Titel ""Essays on High-Frequency Market Microstructure: Herding and Volume-Synchronized Probability of Informed Trading"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Receptionen (26.0.20), Økonomisk Institut. Tid og sted 23. september 2019 kl. 14:30, Københavns Universitet, CSS, Øster Farimagsgade 5, 1353 København K, bygning 4, lokale 4.2.26. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Anders Rahbek, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Antonio Guarino, Økonomisk Institut, University College London, UKProfessor David Easley, Cornell University, USA Abstract This thesis consists of three self-contained chapters within financial market microstructure. The focal point is the modeling and implications of information-based trading in financial markets affected by high-frequency traders. Chapter 1 (“Rational Herding During a Stock Crash“) examines the extent of herd behavior in a stock market from 2005 to 2008. I consider an asymmetric information model with event uncertainty. This setting enables rational statistical herding to occur with positive probability. The model is fitted to the financial tick data of a NYSE traded stock, and findings reveal that the proportion of herd sellers increased during the Great Recession. This suggests that herd behavior may provide a part of the explanation of financial crises. Chapter 2 (“Delta Hedging and the VPIN“) investigates how portfolio hedging can take advantage of a microstructure measure (VPIN) of toxic order flow. Suppose a portfolio manager with a short position in a European call option attempts to collect its volatility risk premium by engaging in dynamic delta hedging of the underlying asset. The results show that VPIN signals large intraday price movements leading to losses of the hedging portfolio. Conditional on high VPIN readings, the portfolio manager is advised to either expand her portfolio with VIX futures and/or adjust her daily risk exposure. Finally, Chapter 3 (“Maximum Likelihood Estimation of VPIN: Toxic Order Flow and Warning Signals“) investigates if maximum likelihood estimation of the VPIN will improve its predictive power for short-term return volatility. This assessment is based on the classification of true and false positive events after high VPIN values were detected. Compared to the method of moment estimation, I show that maximum likelihood estimation is superior in terms of a lower false discovery rate.“" "Invitation to inaugural lecture";"DTU";"2019-09-20";"3:00 pm";"2019-09-20";"5:00 pm";"Technical University of Denmark, Anker Englunds Vej 1, 2800 Kongens Lyngby";"Inaugural lecture by Sune Lehmann";" The Technical University of Denmark is happy to welcome Professor Sune Lehmann as professor in Complexity and Network Science, at the Department of Applied Mathematics and Computer Science. In celebration of this appointment, DTU Compute invites you to attend Sune’s inaugural lecture followed by a reception. Venue Friday, 20 September, at 3 pm, building 101, 1st floor, room 1Technical University of Denmark, Anker Englunds Vej 1, 2800 Kongens Lyngby Programme 3:00-3:10 pm: Welcome by Professor, Head of Department Per B. Brockhoff3:10-3:50 pm: Inaugural lecture titled ”Data science, complex patterns, and human behavior”.4:00-5:00 pm: Reception Everybody is welcome. Registration is not required. " "SODAS Data Discussion w/ Samantha Breslin & Yevgeniy Golovchenko";"Copenhagen Center for Social Data Science (SODAS)";"2019-09-20";"11:00";"2019-09-20";"12:00";"CSS, room 1.2.26";"Copenhagen Center for Social Data Science (SODAS) is hosting yet another Data Discussion. This fall series will be started of by Samantha Breslin & Yevgeniy Golovchenko.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing with SODAS Data Discussions this fall. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Samantha Breslin, Assistant Professor at Department of Anthropology, and Yevgeniy Golovchenko, Department of Political Science, will present at the first Data Discussion of this fall series the 20th of September. Samantha Breslin: The Promise of Tech in Silicon Valley’s “Others” Technological innovation is being developed and promoted in disparate places as a way to diversify and develop local “knowledge economies” and to cultivate technologically skilled and entrepreneurial citizens. I draw on my PhD research in Singapore and my current research in Newfoundland, Canada and consider to what extent and in what ways (trans)national norms, values, and inequalities advanced by “centres” such as Silicon Valley are being (re)produced and negotiated as part of nascent technology policy, education, and practice. In particular, I consider the gendered and political economic implications – and contestations – of efforts by actors such as policy makers, educators, and international investors to develop and shape the values and norms of technology education and industry. Yevgeniy Golovchenko: Fighting Propaganda with Censorship: A Study of the Ukrainian Ban on Russian Social Media Many liberal states have become greatly concerned with Russian propaganda and disinformation on social media. The Ukrainian government responded to this threat in 2017 by blocking access to several Russian websites, including Vkontakte, one of the most popular social media websites in the region. By exploiting a natural experiment in Ukraine, I find that the sudden ban reduced online activity, even among Vkontakte users who are legally and technically capable of bypassing the censorship. Users with strong political and social affiliations to Russia are at least as likely to be affected by the ban as those with weak affiliations. I argue that the availability of online media — not political attitudes toward the state — is the main mechanism behind the response to the online ban. These findings suggest that this pragmatic view on censorship holds, even in the highly politicized military conflict between Russia and Ukraine. The SODAS Data Discussion will take place at SODAS in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 noon. If you have questions or want to know more, please write Sophie Smitt Sindrup Grønning at sophie.groenning@samf.ku.dk." "Økonomisk Eksploratorium #5";"Økonomisk Institut og Politrådet ";"2019-09-19";"16:00";"2019-09-19";"18:00";"CSS i bygning 26, 3. sal (26.3.21) ";"Om sundhedsøkonomi.";"Sundhedsøkonomi den 19. septemberØkonomisk forskning spiller en stor rolle i at forstå sundhedsadfærd – både blandt dem, der efterspørger sundhedsydelser og dem der udbyder dem. I dette eksploratorium, hvor omdrejningspunktet er sundhedsøkonomi, kigger vi på hvordan vores forebyggende sundhedsadfærd påvirkes af de mennesker, der står os nærmest – familien og kollegerne. På udbudssiden ser vi på sundhedsplejerskernes rolle i at sikre ikke alene sundhed for spædbørn og mødre, men også den langsigtede udvikling af børnenes helbred, trivsel og uddannelse. Endeligt diskuterer vi hvilken rolle praktiserende læger spiller i en af verdenssamfundets største udfordringer - nemlig antibiotikaresistens, der truer med, at vi løber tør for virksom antibiotika, som vil have uoverskuelige konsekvenser for den globale sundhed. Oplægsholderne er Torben Heien Nielsen (lektor), Miriam Wüst (lektor) og Michael Ribers (postdoc).Efter oplæggene inviteres der på ”akademisk speeddating”, hvor deltagerne kan få indblik i flere forskningsprojekter i sundhedsøkonomi på økonomisk institut. Økonomisk Institut og Politrådet er vært for Økonomisk Eksploratorium.Det er gratis, og det foregår altid på CSS i bygning 26, 3. sal (26.3.21) på torsdage kl. 16-18.Økonomisk Eksploratorium er et forum, hvor vi deler viden om nye forskningsresultater på Økonomisk Institut. Hvert semester afholder vi et arrangement om måneden, alle med et tema, som tager afsæt i aktuel forskning på instituttet. Med arrangementerne åbner Økonomisk Institut dørene ind til forskningsmiljøet og viser hvordan økonomi kan bruges praktisk.Det er en mulighed for studerende og alle andre med interesse for økonomi at møde forskere uden for forelæsningslokalerne. Økonomisk Eksploratorium er for dig, der bare gerne vil vide mere, og for dig, der måske savner inspiration til valg af kurser og emner til opgaveskrivning. Du behøver ikke at være bange for at der kun bliver talt med formler og græske bogstaver. Økonomisk Eksploratorium foregår på en niveau hvor alle kan være med. Hver Eksploratorium giver plads til spørgsmål og dialog. Og så sørger vi for rigelige mængder kaffe og kage." "Andrea Colciago, De Nederlandsche Bank and University of Milano-Bicocca";"Department of Economics UCPH";"2019-09-19";"13:00";"2019-09-19";"14:30";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, 26.1.21B";"""Competition and Inequality"". Macroeconomics seminar arranged by the Department of Economics.";"Abstract: This paper builds a framework with strategic interactions between an endogenous number of producers that matches the distributions of income and wealth in the US. It explains recent trends in markups, factors’s share, and business dynamism through an increase in entry costs for new firms, which limits competition. Through those trends, it accounts for 25% to 50% of the increase in income inequality observed between 1989 and 2007 and for 30% of the increase in wealth inequality. It finds that just 3% of the population experiences a welfare gain during the transition from a high to a low competition environment. Paper Contact person: Emiliano Santoro " "IZA/UCPH Workshop";"Department of Economics UCPH";"2019-09-12";"09:00";"2019-09-13";"";"CSS, Øster Farimagsgade 5, building 26, Room CSS 26.2.21. Registration: CSS 26.3.21, 1353 Kbh K ";"Please find link to the full program for the IZA/UCPH Workshop";"“Evaluation of Labor Market Policies: New Data and New Approaches” The workshop has the aim of facilitating the dialogue between policy makers, administrators and academics interested in new approaches in the design and evaluation of labor market policies. The workshop consists of both presentations and group discussions. Please find link to the full program here on the IZA/UCPH Workshop The workshop is a joint initiative by the Institute of Labor (IZA) in Bonn/Germany and The Center of Behavioral Economics and Labor Market Performance (BELP). The organizing team is Steffen Altmann (IZA and University of Copenhagen), Thomas Dohmen (University of Bonn and IZA), Bert van Landeghem (University of Sheffield and IZA), Robert Mahlstedt (University of Copenhagen and IZA), Alexander Sebald (University of Copenhagen)." "Marco Ottaviani, Bocconi University";"Department of Economics UCPH";"2019-08-20";"10:30";"2019-08-20";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""Resource Allocation across Fields: Proportionality, Demand Relativity, and Benchmarking"" Seminar arranged by Microeconomic Research Unit (MRU)";"""Resource Allocation across Fields: Proportionality, Demand Relativity, and Benchmarking"" Abstract: Some of the world’s largest research funding agencies allocate funds to different fields in proportion to the share of applications received in each field, thus equalizing the success rate across fields. Casting the problem in a simple supply and demand framework, we characterize the equilibrium acceptance standard and the resulting amount of applications when submissions are costly. We show that in all stable equilibria an increase in the accuracy of evaluation in a field reduces applications in that field. Multiple equilibria can result when the distribution of types does not have increasing hazard rate. Fields have perverse incentives to reduce the accuracy of evaluation in order to increase the number of successful applications in their field. Benchmarking current merit scores with respect to previous rounds - a practice introduced at the National Institutes of Health in 1988 - generates virtuous incentives to step up the accuracy of the evaluation. Contact person: Peter Norman Sørensen " "Mismatch, Matching and the Allocation of Workers to Jobs";"Department of Economics UCPH";"2019-08-16";"9:15";"2019-08-16";"17:15";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Workshop arranged by Nikolaj A. Harmon";"Mismatch, Matching and the Allocation of Workers to Jobs Programme for workshop: ""Mismatch, Matching and Allocation of Jobs to Workers""" "Antonella Ianni, University of Southampton";"Microeconomic Research Unit (MRU)";"2019-08-13";"10:30";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""On the Heresthetics of Salience: Competition over Voters' Attention"" Seminar arranged by Microeconomic Research Unit (MRU) ";"""On the Heresthetics of Salience: Competition over Voters' Attention"" Abstract. We study a voting model in which two candidates compete for the attention of voters, who value both the spatial dimension of policy, as well as each candidate's personal attribute of valence. Candidates run in a winner-take-all election and draw voters' attention towards the attribute in which they enjoy a comparative advantage, by thus making it salient in voters' mind. The paper offers three contributions. First, it provides novel and significant experimental evidence in support of salient behaviour in voting. Second, it characterizes policy salient political equilibria as well as valence salient political equilibria with salient voters. Third, it suggests ways in which the notion of salience can be made operational, leading the way to testable implications. Experimental as well as theoretical results show that the median voter paradigm and its implications are challenged if voters are salient, as this raises a modeled attention externality, whereby strategic positioning of candidates in the policy dimension affects how attributes are perceived and ballots are cast. Contact person: Peter Norman Sørensen" "EARN Workshop on Integration";"Mette Foged and Linea Hasager, Department of Economics, University of Copenhagen";"2019-06-12";"09:30";"2019-06-13";"16:30";"Øster Farimagsgade 5, building 26, 2nd floor, room 20, 1353 Copenhagen K";"EARN Workshop on Integration 12 - 13 June 2019";" We are happy to announce the first EARN Workshop on Integration. The workshop will take place 12 - 13 June 2019 at the Department of Economics, University of Copenhagen and is part of the five-year research program EARN (Economic Assimilation Research Network) funded by the Innovation Fund Denmark. Keynote Dominik Hangartner (ETH Zurich, LSE) Invited speakers Francesco Fasani (QMUL) Tommaso Frattini (U Milan) Matti Sarvimäki (Aalto U) The researchers in the EARN program are Iben Bolvig (VIVE), Jacob Nielsen Arendt (RFF), Linea Hasager (U Cph) and Mette Foged (U Cph) and a scientific advisory group including Giovanni Peri (UC Davis), Oddbjørn Raaum (Frisch) and Torben Tranæs (VIVE), who will also participate in the workshop." "Mediating Factors Shaping Human Mobility and Social Ties";"Copenhagen Center for Social Data Science (SODAS)";"2019-06-07";"11:00";"2019-06-07";"12:30";"1.2.26";"Christoph Stich, University of Birmingham, is visiting SODAS and giving a lecture.";"Friday the 7th of June Christoph Stich, University of Birmingham, will give a lecture. Abstract Recent years have seen an increasing proliferation of the use of digitally generated traces of data for understanding human behaviour. The quantitative understanding of social networks as well as patterns of human mobility has benefited tremendously from these new sources of data. The main dynamics of both social networks and human mobility such as a propensity of humans for heterogeneous behaviour, how humans choose to explore new places, or the fact that both spheres are intrinsically linked are now fairly well understood.However, how various other factors mediate the observed dynamics is relatively unknown, not least due to the difficulty in obtaining adequate data. Thus, for my thesis I focus on how a variety of factors---places, longer-term dynamics, the personality of individuals, or neighbourhoods---might be a driver of various aspects of social and mobility behaviour.I use data from the Copenhagen network study that tracked 847 students with smartphones and measured their social encounters as well as the locations they visited for a whole academic year.I further use a variety of methods for analysing the data ranging from applied machine learning over inferential statistics to social network analysis. Using this dataset, I find that the qualities of places are very informative for understanding future encounters between students, that the longer-term dynamics shape both social and mobility behaviour, that while personality has a significant effect on the observed regularity of behaviour, its effect is rather small, and that the socio-economic characteristics of neighbourhoods explain part of the spatial and social behaviour of the students. The lecture will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Jana Friedrichsen, DIW Berlin/Humboldt-Universität zu Berlin";"Microeconomic Research Unit (MRU) ";"2019-06-04";"10:30";"2019-06-04";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""The effect of a leniency rule on cartel formation and stability - Experiments with open communication"" Seminar arranged by Microeconomic Research Unit (MRU) ";"""The effect of a leniency rule on cartel formation and stability - experiments with open communication"" Abstract Cartels can severely harm social welfare. Antitrust authorities introduced leniency rules to destabilize existing cartels and hinder the formation of new ones. Empirically, it is difficult to judge the success of these measures because the number of functioning cartels is unobservable. Previous experimental studies have simplified the decision framework in many aspects so that it is hard to draw conclusions about the effects of the leniency rule on real cartels from their results. This paper analyzes the effectiveness of leniency policies when a) firms communicate in free form, b) players in the role of the competition authority conduct controls and decide on fines, c) fines are based on cumulative profits during collusive spells. Surprisingly, our results indicate that the availability of a leniency rule does not affect cartel activity, the number of self-reports, and average market prices and may suggest that in an experimental design without a voting stage the anticipated effect of a leniency rule disappears. " "Marcus Mølbak Ingholt forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2019-05-28";"9:00";"2019-05-28";"13:00";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Marcus Mølbak Ingholt forsvarer sin ph.d.-afhandling ""Financial Frictions in a Housing Economy: Multiple Credit Constraints, Internal Migration, and Bank Runs"" ";"""Financial Frictions in a Housing Economy: Multiple Credit Constraints, Internal Migration, and Bank Runs"" Kandidat: Marcus Mølbak Ingholt Titel ""Financial Frictions in a Housing Economy: Multiple Credit Constraints, Internal Migration, and Bank Runs"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut. Tid og sted 28. maj 2019 kl. 9:00, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Martin Gonzalez-, Økonomisk Institut, Københavns Universitet, Danmark (formand)Associate Professor Vincent Sterk, University College London, UKAssistant Professor Roman Sustek, Queen Mary, University of London, UK Abstract This thesis consists of three self-contained chapters, written within macroeconomics and macrofinance. The overarching objective of the thesis is to improve our understanding of how asset price and credit fluctuations affect real activity. The thesis examines these issues through both empirical and theoretical methods. In the first chapter (”Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics”), I study the macroeconomic implications of homeowners simultaneously facing loan-to-value and debt-service-to-income constraints on the amount they may borrow. In the following two chapters, I explore how the housing market and credit issuance affect real activity via labor migration and wage setting (“Not Moving and Not Commuting: Macroeconomic Responses to a Housing Lock-In”), as well as via mortgage defaults and bank runs (“Mortgage Defaults, Bank Runs, and Regulation in a Housing Economy”). " "Leah Boustan, Princeton University";"Department of Economics";"2019-05-28";"15:30";"2019-05-28";"16:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"""Intergenerational Mobility of Immigrants in the U.S. over Two Centuries"". Seminar arranged by the Department of Economics.";"""Intergenerational Mobility of Immigrants in the U.S. over Two Centuries"". Abstract: A defining feature of the “American Dream” is the view that even immigrants who come to the United States with few resources and little skills have a real chance at improving their children’s prospects. We use father-son linked datasets on millions of immigrants to study whether the children of immigrants catch up in their earnings with the children of the U.S.-born, and how the intergenerational mobility of immigrants to the US has changed over the last two centuries. Both in the past and today, children of immigrants had higher chances of moving up in the income distribution relative to the children of U.S.-born parents with comparable family income or occupation score. We provide suggestive evidence that immigrants’ location choices and mismatch between the position of immigrant fathers in the income distribution and their true ability or earnings potential both contribute to these higher levels of upward mobility. Contact person: Casper Worm" "ScienceAtHome: Online Computer Games as a ”Social Science Super Collider”";"Copenhagen Center for Social Data Science, (SODAS)";"2019-05-24";"11:00";"2019-05-24";"12:30";"CSS, room 1.2.26";"The final SODAS Lecture of the spring will be by Professor MSO Jacob Friis Sherson, Director and Founder of the ScienceAtHome project and Center for Hybrid Intelligence at the Department of Physic and Astronomy, Aarhus University.";"Engagement and Diversity in the World of Data Science While data science has without a doubt proven its enormous potential over the last decade or so, the new field is still trying to find its place in academia and society at large. In the 2019 spring lecture series, The Copenhagen Center for Social Data Science (SODAS) has invited scholars that will present their work that in one aspect or another address questions of, and experiments with, diversity and public engagement in the world of data science. ScienceAtHome: Online Computer Games as a ”Social Science Super Collider” Our final speaker of the spring lecture series is Professor MSO Jacob Friis Sherson, Director and Founder of the ScienceAtHome project and Center for Hybrid Intelligence at the Department of Physic and Astronomy, Aarhus University. Abstract What is to become of humankind in the future digital age and is there a way to break the monopoly of big tech companies on large scale data on human behavior? With the advent of AI one of the most important things we can do to prepare for the best possible future is to become more deeply aware of what it means to be human.The ScienceAtHome project within the Center for Hybrid intelligence uses online citizen science games (so far played by 300,000+ players world wide) not just to solve complex natural science challenges such as the development of a quantum computer but also as an online laboratory to study human intuition, creativity and innovation on a scale vastly exceeding traditional lab-based social science investigations. Our portfolio of games ranging from physics, mathematics and chemistry to economics, psychology and cognitive science provides a unique tool to systematically map the difference between human and artificial intelligence.We also have conducted first tests of a suite of game to conduct large scale social and cognitive science experimentation in the cloud involving both individual and collective processes. This infrastructure that we call the “social science super collider” (SSCS) is aimed at allowing social science researchers from around the world easy access to perform large scale experimentation on our community of citizen scientists.Our latest and most ambitious SSCS game is, Skill Lab, which aims to break the monopoly of large tech companies on large scale data of human behavior. It is a set of mini games that allows for game-based assessment of the cognitive profile of the players. So far, 20,000+ have signed up for our large scale mapping of cognitive profiles. As a first test of the potential of this for novel registry based research we had an open call for researchers to add a few survey questions to our game. In this way we are currently correlating cognitive functions with as diverse topics as sleep habits, entrepreneurship, political affiliation, language skills and public versus private employment. The lecture will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "DataBeers";"The DataBeersCPH organizing team";"2019-05-23";"18:30";"2019-05-23";"20:30";"Byens Lys (Fabriksområdet, 1440 København, Denmark)";"DataBeers is open to all, there will be short and engaging talks about the latest advances in data science, many interesting people to network with and - of course - plenty of free beer. The event is sponsered by SODAS and DTU Compute.";"DataBeers is sponsered by SODAS and DTU Compute. Following the success all over the world, Databeers is coming to Copenhagen! We will meet on Thursday, the 23rd May at 18:30 at Byens Lys (Fabriksområdet, 1440 København, Denmark). There will be be short and engaging talks about the latest advances in data science, many interesting people to network with and - of course - plenty of free beer. The event is free, but registration is requiered. To see who will be speaking and for regsistration go to https://www.eventbrite.com/e/databeerscph-23rd-may-2019-tickets-60459666490. You can find the facebook event here. " "Philipp Christian Kless forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2019-05-20";"10:00";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Philipp Christian Kless forsvarer sin ph.d.-afhandling: ""New Bootstrap Methods for Financial and Economic Time Series""";"Philipp Christian Kless forsvarer sin ph.d.-afhandling: ""New Bootstrap Methods for Financial and Economic Time Series"" Kandidat: Philipp Christian Kless Titel ""New Bootstrap Methods for Financial and Economic Time Series"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut. Tid og sted 20. maj 2019 kl. 10:00, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Heino Bohn Nielsen, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Esther Ruíz Ortega, Universidad Carlos III de Madrid, SpanienProfessor Giuseppe Cavaliere, University of Bologna, Italien Abstract The bootstrap is a promising simulation tool that can help to solve complicated statistical problems with no tractable solution. Specifically, the fundamental idea of the bootstrap is to use re-sampling methods to approximate otherwise unknown properties of an estimator. This thesis investigates bootstrap methods for financial and economic time series to do forecasting. The results are presented in three self-contained parts which include theory, simulations, and empirics for the implemented bootstrap method. The three parts are: Smoothed Bootstrap Forecasts for Autoregressive Conditionally Heteroscedastic Models Bootstrap Forecasts for the Poisson Autogressive Model Estimation Uncertainty in GARCH Option Prices " "Thomas Rasmusen Tørsløv forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2019-05-16";"15:45";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Thomas Rasmusen Tørsløv forsvarer sin ph.d.-afhandling: ""International Corporate Taxation - the result of trying to curb strong economic incentives with unclear rules""";"Thomas Rasmusen Tørsløv forsvarer sin ph.d.-afhandling: ""International Corporate Taxation - the result of trying to curb strong economic incentives with unclear rules"" Kandidat: Thomas Rasmusen Tørsløv Titel ""International Corporate Taxation - The result of trying to curb strong economic incentives with unclear rules"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut. Tid og sted 16. maj 2019 kl. 15:45, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Peter Birch Sørensen, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Annette Alstadsæter, Handelshøyskolen, NorgeProfessor Ronald Davies, University College Dublin, Irland Abstract The dissertation revolves around the topic of tax avoidance by multinational corporations. It consists of three self-contained chapters: In the first chapter my co-authors and I investigate whether countries at a lower state of development experience a higher exposure to profit shifting by MNCs. In doing so we provide a new framework for estimating profit shifting: Estimating the change in propensity for MNCs to report zero profits following a change in tax incentives. In the second chapter we try to answer the question: ""What amount of profits are shifted to tax havens worldwide?"". To answer this, we exploit new macroeconomic data known as foreign affiliates statistics. We show that foreign firms are an order of magnitude more profitable than local firms in tax havens, but less profitable than local firms in other countries. Leveraging this differential profitability, we estimate the amount of multinational profits that are shifted to tax havens globally each year . In the third chapter, we zoom out and look at the effect profit shifting has on the effective tax rates paid by MNCs. By systematically decomposing the effective tax rates of U.S.- and EU-based MNCs, we show that profit shifting can only explain at most a quarter of the fall in effective tax rates paid since 2004. The remainder is explained by falling statutory and effective tax rates across the globe. These results are consistent with international tax competition. " "Filip Matejka, CERGE, Charles University";"Microeconomic Research Unit (MRU) ";"2019-05-13";"10:30";"2019-05-13";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"""An Attention-Based Theory of Mental Accounting"" Seminar arranged by Microeconomic Research Unit (MRU) ";"""An Attention-Based Theory of Mental Accounting"". Botond Köszegi and Filip Matejka Abstract We analyze how an agent with costly attention optimally attends and responds to shocks in basic consumption decisions, explaining several types of mental accounting, and making additional predictions. When allocating consumption among goods with different degrees of substitutability, the agent may create budgets for the more substitutable products. But if the goods are complements, the agent — consistent with naive diversification — may choose a fixed, unconsidered mix of products. When managing her consumption from and transfers between an investment account and a checking account, the latter of which she has an incentive to balance, the agent’s marginal propensity to consume (MPC) out of shocks to the checking account is greater than her MPC out of shocks to the investment account. Furthermore, because paying attention to her budgeting is costly, the agent prefers to reduce spending risk, and she is more averse to risk in the checking account than in the investment account. As a result, she may optimally switch to a cheaper substitute product when a random price increase occurs. Information about Filip MatejkaContact person: Mogens Fosgerau" "SODAS Data Discussion, Frederik Georg Hjorth & Snorre Ralund";"Copenhagen Center for Social Data Science, (SODAS)";"2019-05-10";"11:00";"2019-05-10";"12:00";"CSS, room 1.2.26";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce the fourth and final SODAS Data Discussion of this spring.";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing the success with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Frederik Georg Hjorth, Assistant Professor, Department of Political Science, and Snorre Ralund, PhD student at SODAS, will present at the fouth and final SODAS Data Discussion of this spring the 10th of May. Frederik George Hjorth:Establishment Responses to Populist Challenges: Evidence from Legislative Speech In recent years, many political systems have witnessed the rise of right-wing populist parties, sometimes challenging foundational norms of the established political system. In the face of such challenges, establishment actors face the important choice of how to respond to the challenger party. A rich literature in comparative party politics examines this question. Though typologies abound, the literature broadly speaking identifies two types of response: either engaging with the challenger on par with other parties, or employ a strategy of disparagement, i.e. seeking to portray the challenger as democratically illegitimate. However, the existing literature conceptualizes this response solely as a party system- or party-level phenomenon.This paper argues that legislative speech, previously unexamined in the literature, offers a window into individual-level variation in establishment responses to right-wing populist challenges. I revisit an oft-studied case in the literature, responses in the Danish party system to the entry of the right-wing populist Danish People's Party in the mid-1990's. I take a text as data approach, applying machine learning methods to a total of around 130,000 paragraphs of legislative speech in order to characterize responses at the level of individual speeches. I link these speech-level estimates to an original data set on political and demographic characteristics of individual legislators.Using this novel approach, which allows for a uniquely granular characterization of responses to right-wing populist parties, I uncover systematic individual-level, within-party variation in legislators' choice of an engagement or a disparagement response to the entry of the Danish People's Party. The results suggest that political and demographic characteristics of individual legislators, unexamined in the existing literature, play an important role in explaining establishment responses to populist challenges. Snorre Ralund:When models don’t speak data: Resolution limit in topic modelling Topic modelling is a statistical method for the analysis of high-dimensional sparse data widely used across many scientific fields. Application range from automated text classification, recommendation systems, dimensionality reduction, topic-based search engines, and has become the de facto standard for modelling text within the social sciences.Although widely used in both research and industry for many years, we still lack an understanding of potentially critical behavior of the algorithm under different empirical scenarios. A growing number of studies document critical behavior such as high level of multimodality and instability, but it has only recently been proposed to systematically study the behavior of the algorithm using well-designed synthetic data (Shi et al. 2019).The model is praised for the ability to model linguistic phenomenon such as polysemy (words carry different meaning given context), heteroglossia (documents contain different voices and themes), and compared to its supervised counterparts in automated content analysis, for its data-driven and inductive qualities. In this paper, we use synthetic data to test the algorithms ability to let the data to drive the results. We show resolution limits and problems with inference related to both the local concentration (document-level), global prevalence (corpus level), separability (word overlap) of the latent topics, and word overlap, with critical consequences for real world scenarios. The SODAS Data Discussion will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Jakub Steiner, CERGE-EI (Prague) and Zurich";"Seminar arranged by Microeconomic Research Unit (MRU) ";"2019-04-30";"10:30 ";"2019-04-30";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""Attention Please!"" Seminar arranged by Microeconomic Research Unit (MRU) . Contact person: Peter Norman Sørensen";"""Attention Please!"" Abstract: We study the impact of manipulating the attention of a decision-maker who learns sequentially about a number of items before making a choice. Under natural assumptions on the decision-maker’s strategy, directing attention toward one item increases its likelihood of being chosen regardless of its value. This result applies when the decision-maker can reject all items in favor of an outside option with known value; if no outside option is available, the direction of the effect of manipulation depends on the value of the item.Link to paper: https://home.cerge-ei.cz/steiner/please.pdf. " "Use of Algorithms in Public Administration - What are the Ethical Concerns?";"Copenhagen Center for Social Data Science, (SODAS)";"2019-04-26";"11:00";"2019-04-26";"12:30";"CSS, room 1.2.26";"The speakers for the third SODAS Lecture of the spring will be Peter Sandøe, Professor & Sune Hannibal Holm, Associate Professor, Department of Food and Resource Economics, University of Copenhagen. ";"Engagement and Diversity in the World of Data Science While data science has without a doubt proven its enormous potential over the last decade or so, the new field is still trying to find its place in academia and society at large. In the 2019 spring lecture series, The Copenhagen Center for Social Data Science (SODAS) has invited scholars that will present their work that in one aspect or another address questions of, and experiments with, diversity and public engagement in the world of data science. Use of Algorithms in Public Administration - What are the Ethical Concerns? The speakers for the third SODAS Lecture of the spring will be Peter Sandøe, Professor & Sune Hannibal Holm, Associate Professor, Department of Food and Resource Economics, University of Copenhagen. Abstract Automated and decision-supporting algorithmic systems are finding their way into public administration. These hold great promises e.g. in terms of more effective administration throughout the public sector. On the other hand, there is a worry we are sleepwalking into an era of algocratic rule, which will erode fundamental liberal rights and values.In this talk we will present some preliminary suggestions for an ethical framework for algorithmic governance. More specifically we will analyse how concerns concerning privacy, transparency and responsibility can best be interpreted and respected in a society, where there is an accelerating increase in the collection, processing and utilization of personal data to make decisions that affect the lives of citizens.In the course of analyzing the three notions and outlining the framework we will also consider the following questions: “Should public institutions use personal data to develop predictive algorithms that may be applied in automated or semi-automated decisions-making processes about individual citizens?”, “Should citizens be subjected to algorithmic profiling?”, and “Are algorithmic decision-making systems really so bad when compared to our knowledge about the quality of unassisted human decisions”? The lecture will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Erik Mohlin, Lund and Stockholm School of Economics";"Microeconomic Research Unit (MRU)";"2019-04-23";"10:30";"2019-04-23";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"""Decency"" Seminar arranged by Microeconomic Research Unit (MRU) .";"""Decency"" Abstract We develop a formal theory of decency. Shared values and understandings give rise to social norms. Norms may mandate collectively optimal behavior, but they need not do so. Furthermore, behavior can be affected by social values even if it stops short of norm compliance. Seeking stronger predictions, we propose a structural model of social values; society endorses efficiency and equality, but condemns ill-gotten gains. The model implies that decent people will tend to avoid situations that encourage prosocial behavior. It also rationalizes the existence of willful ignorance, intention-based negative reciprocity, and betrayal aversion. Co-author: Tore Ellingsen Paper Contact person: Johan Lagerlôf " "SODAS Data Discussion, Maja Hojer Bruun & Adam Sheridan";"Copenhagen Center for Social Data Science, (SODAS)";"2019-04-12";"11:00";"2019-04-12";"12:00";"CSS, room 1.2.26";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce the third SODAS Data Discussion of this spring.";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing the success with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Maja Hojer Bruun, Associate Professor in Educational Anthropology, Aarhus University & Adam Sheridan, PhD student, Department of Economics, University of Copenhagen and Danske Bank, will present at the third SODAS Data Discussion of this spring the 12th of April. Maja Hojer Bruun:Infrastructures of trust and distrust. Anthropological perspectives on emerging cryptographic technologies Cryptography is a field of mathematics and computer science that works on ways of protecting information by hiding it through codes and computer protocols. The spread of personal computers since the 1970s and the development of the Internet has extended the use of cryptography from governments and military to the whole world, and encryption has become a matter of not only data security but also data privacy. Today, cryptography is not only used by states and the military but also for computer passwords, electronic commerce and payment cards and all kinds of digital signatures and identity authentication. Moreover, cryptography but also extends into subcultures and underground activities such as the political activities of hackers, the Dark Net and Tor (The Onion Router). Thus, cryptography is part of a ubiquitous, yet invisible infrastructure that we use every day but very few of us understand.This paper presents the work of mathematicians, engineers and anthropologists from Aalborg and Aarhus University in the SECURE project (Secure Estimation and Control Using Recursion and Encryption) with the emerging encryption and computation technology Multi-Party Computation (MPC). Unlike traditional forms of encryption that require a trusted third party, MPC enables decentralised data analysis where several parties jointly compute a function without revealing the inputs of each party to anyone. In this way, the boundaries between trust and distrust, public and private are being reconfigured. As part of the SECURE project’s aim to make MPC graspable for the broader public, and to cultivate public consciousness and political debate about data technologies, security and infrastructures, we have developed a prototype virtual reality experience of current and emerging forms of encryption using the smart grid as a case. Adam Sheridan:Learning About Social Networks from Mobile Money Transfers The increasing popularity of mobile money transfer apps is generating population-scale data on real-world social interactions. I demonstrate how data from these apps presents researchers with an opportunity to better comprehend social networks and their role in social and economic behavior. To this end, I construct a population-scale social network from the near universe of mobile money transfers in Denmark. I detail the network’s distinct structural properties and their accordance with those of known social networks. Combining the network with population-wide individual-level data on socio-economic attributes and institutional attachments, I provide novel insights on four key questions concerning social networks. First, the life cycle evolution of social ties with changing institutional attachments. Second, the individual and economic correlates of immigrant social segregation and integration. Third, the extent of social network stratification by economic status. Fourth, the contagious effects of job loss on household expenditure through social interactions. The SODAS Data Discussion will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Christofer Schroeder, Stockholm School of Economics";"Department of Economics, University of Copenhagen";"2019-04-11";"13:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""TBA"" Macroeconomics seminar, arranged by the Department of Economics";"""TBA"" Contact person. Søren Hove Ravn" "Lenka Fiala, Tilburg University";"Microeconomic Research Unit (MRU)";"2019-04-09";"10:30";"2019-04-09";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"Seminar arranged by Microeconomic Research Unit (MRU)";"""Using Experimental Evidence to Design Optimal Notice and Takedown Process"" Abstract Whether it is copyright infringement or hate speech, Internet intermediaries like Facebook, Twitter or YouTube are expected to enforce the law by removing illegal content. The legal scheme under which a lot of such delegated enforcement takes place is often referred to as notice & takedown. According to theory and empirical evidence, this scheme leads to many false positives due to over-notification by concerned parties, over-compliance by providers, and under-assertion of rights by affected content creators. We re-create these problems in a laboratory and then test a mechanism to address two of them: the over-compliance by providers, and the lack of complaints by the content creators. We show that our proposed solution of an independent ADR mechanism significantly reduces over-compliance by providers. At the same time, it increases complaints by the content creators who are successful in their complaints, but primarily in cases in which it is easier to evaluate who is right. Paper Contact person: Johan Lagerlöf" "Joseph Vavra, Booth School of Business at University of Chicago and NBER";"Department of Economics, University of Copenhagen";"2019-04-08";"13:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"""Mortgage Prepayment and Path-Dependent Effects of Monetary Policy"", Macroeconomics seminar, arranged by the Department of Economics";"""Mortgage Prepayment and Path-Dependent Effects of Monetary Policy"" Abstract How much ability does the Fed have to stimulate the economy by cutting interest rates? We argue that the presence of substantial debt in fixed-rate, prepayable mortgages means that the ability to stimulate the economy by cutting interest rates depends not just on their current level but also on their previous path. Using a household model of mortgage prepayment matched to detailed loan-level evidence on the relationship between prepayment and rate incentives, we argue that recent interest rate paths will generate substantial headwinds for future monetary stimulus Contact person: Emiliano Santoro" "Johan Lagerlöf, University of Copenhagen";"Department of Economics, University of Copenhagen";"2019-04-02";"10:30";"2019-04-02";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"“Surfing Incognito: Welfare Effects of Anonymous Shopping” Seminar arranged by Microeconomic Research Unit (MRU)";"“Surfing Incognito: Welfare Effects of Anonymous Shopping” Abstract This paper studies consumers' incentives to hide their purchase histories when the seller's prices depend on previous behavior. Through distinct channels, hiding both hinders and facilitates trade. Indeed, the social optimum involves hiding to some extent, yet not fully. Two opposing effects determine whether a consumer hides too much or too little: the first-period social gains are only partially internalized, and there is a private (socially irrelevant) second-period gain due to price differences. If time discounting is small, the second effect dominates and there is socially excessive hiding. This result is reversed if discounting is large. Paper Contact person: Johan Lagerlöf " "Adam Sheridan forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2019-03-29";"14:00";"";"";"Økonomisk Institut, CSS, Øster Farimagsgade 5, bygning 26, lokale 26.2.21 ";"Adam Sheridan forsvarer sin ph.d.-afhandling: ""Essays on Banks, Insurance, and Social Networks""";"Adam Sheridan forsvarer sin ph.d.-afhandling: ""Essays on Banks, Insurance, and Social Networks"" Kandidat: Adam Sheridan Titel ""Essays on Banks, Insurance, and Social Networks"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut. Tid og sted 29. marts 2019 kl. 14:00, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor David Dreyer Lassen, Økonomisk Institut, Københavns Universitet, Danmark (formand)Seniorforsker Andreas Fagereng, Statistics Norge, NorgeLektor Kaveh Majlesi, Lund Universitet, Sverige, Abstract This thesis consists of four self-contained chapters. In the first chapter, written together with Rajkamal Iyer, Thais Jensen, and Niels Johannesen, we provide empirical evidence of the distortive effects of too-big-to-fail guarantees on bank competition for retail deposits. In the second chapter, written together with Asger Lau Andersen, Amalie Sofie Jensen, Niels Johannesen, Claus Thustrup Kreiner, and Søren Leth-Petersen, we provide precise and comprehensive evidence on how households respond to unemployment shocks by linking multiple high-frequency administrative data sets from government agencies, covering the entire Danish population, with transaction-level data from a major bank. In the third chapter, written together with Asger Lau Andersen, and Niels Johannesen, we combine transaction-level customer records from a large retail bank with government registers in order to construct a unique dataset with high-frequency information on income, spending, and intra-family bank transfers and we use these data to produce new evidence on intra-family insurance. In the fourth and final chapter, I demonstrate how the increasing popularity of mobile money transfer apps is generating population-scale data on real world social interactions, presenting researchers with an opportunity to better comprehend social networks and their role in social and economic behavior. " "Raffaele Rossi, University of Manchester";"Department of Economics, University of Copenhagen";"2019-03-28";"13:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""The Macroeconomic Effects of Tax Changes: Estimates from a Life Cycle Model"" Macroeconomics seminar, arranged by the Department of Economics";"""The Macroeconomic Effects of Tax Changes: Estimates from a Life Cycle Model"" Abstract This paper estimates the effects of exogenous changes in income and consumption taxes. The tax shocks are proxied with a narrative account of tax liability changes in the United Kingdom. Income tax cuts have large effects on GDP, private consumption and investment. The effects of consumption tax cuts are modest and not statistically significant on GDP and its components. Shifting the burden of taxation from income to consumption is expansionary. Consistent with conventional public finance theories, these results indicate that it is crucial to distinguish between direct and indirect taxation when studying the transmission mechanism of fiscal policy.Contact person: Emiliano Santoro" "Engagement and Diversity in the World of Data Science";"Copenhagen Center for Social Data Science, (SODAS)";"2019-03-22";"11:00";"2019-03-22";"12:30";"CSS, room 1.2.26";"The second SODAS Lecture of the spring will be by Natalie Schluter, Associate Professor and Head of study program at the Department of Computer Science, IT University Copenhagen.";"While data science has without a doubt proven its enormous potential over the last decade or so, the new field is still trying to find its place in academia and society at large. In the 2019 spring lecture series, The Copenhagen Center for Social Data Science (SODAS) has invited scholars that will present their work that in one aspect or another address questions of, and experiments with, diversity and public engagement in the world of data science. The Glass Ceiling in the Natural Language Processing Research Community Our second speaker of the spring lecture series is Natalie Schluter, Associate Professor and Head of study program at the Department of Computer Science, IT University Copenhagen. AbstractIn this talk, I present some empirical evidence based on a rigorously studied mathematical model for bi-populated networks, that a glass ceiling within the field of Natural Language Processing has developed since the mid 2000s. The lecture will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Andreas Gotfredsen forsvarer sin ph.d.-afhandling ";"Department of Economics, University of Copenhagen";"2019-03-21";"13:00";"";"";"CSS, Øster Farimagsgade 5, bygning 35, lokale 35.3.12";"Andreas Gotfredsen forsvarer sin ph.d.-afhandling: ""Essays in Behavioral and Experimental Economics""";"Andreas Gotfredsen forsvarer sin ph.d.-afhandling: ""Essays in Behavioral and Experimental Economics"" Kandidat Andreas Gotfredsen Titel ""Essays in Behavioral and Experimental Economics"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut. Tid og sted 21. marts 2019 kl. 13:00, CSS, Øster Farimagsgade 5, 1353 København K, bygning 35, lokale 35.3.12. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Lektor Marco Piovesan, Økonomisk Institut, Københavns Universitet, Danmark (formand)Lektor Erik Wengström, Lund Universitet, SverigeLektor Sibilla di Guida, Syddansk Universitet, Danmark Abstract The four chapters of this thesis contribute to two distinct topics in behavioral and experimental economics. Each chapter is self-contained and can be read independently. The first three chapters studies how the psychological mechanisms of attention and limited cognitive resources affect individual economic choice and market outcomes. The final chapter studies the economic consequences of overconfidence. In chapter 1, we present results from an eye-tracking experiment, where we demonstrate that consumers' choices are tilted toward purchasing goods with higher quality/price ratios, as predicted by salience theory of Bordalo et al. (2013). Still, the eye-tracking data indicate that this behavior may not be driven by visual attention as hypothesized. In chapter 2, we present another experiment demonstrating that people's perceptual limitations cause their valuations of experimental goods to become more similar as they become harder to visually distinguish. Yet we do not see sellers attempt to exploit this in a market setting. In chapter 3, I examine how order effects influence the way that people retrospectively self-evaluate their performance on a work task. For the task I use in my experiment, I find that the participants tend to overweight the final, most salient part in their self-evaluations. The final chapter deals with overconfidence: The tendency for people to overestimate their abilities, blamed for over-investment, excess entry into markets and wars. In my final experiment, I study the link between overconfidence and aggressive behavior, and the economic consequences thereof. I find that people who publicly appear the most self-confident are also the most aggressive towards their competitors, and that the threat of aggression deter others from choosing to compete." "UCPH Workshop: Behavioral Economics and Public Policy";"Department of Economics, University of Copenhagen";"2019-03-15";"09:15";"2019-03-16";"14:30";"CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"";" UCPH Workshop on Behavioral Economics and Public Policy 15-16 March 2019 arrangered by the Center for Behavioral Economics and Labor Market Performance. Programme for UCPH Workshop on Behavioral Economics and Public Polixy " "Benjamin Ly Serena forsvarer sin ph.d.-afhandling";"Økonomisk Institut, Københavns Universitet";"2019-03-13";"14:00";"";"";"CSS, Øster Farimagsgade 5, CSS 7.0.34 ";"Benjamin Ly Serena forsvarer sin ph.d.-afhandling: ""Essays in Health Economics: Measurement and Policy""";"Benjamin Ly Serena forsvarer sin ph.d.-afhandling: ""Essays in Health Economics: Measurement and Policy"" Kandidat: Benjamin Ly Serena Titel “Essays in Health Economics: Measurement and Policy"". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut. Tid og sted 13. marts 2019 kl. 14:00, CSS, Øster Farimagsgade 5, 1353 København K, bygning 7, lokale 7.0.34. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Lektor Mette Gørtz, Økonomisk Institut, Københavns Universitet, Danmark (formand)Professor Peter Nilsson, IIES, Stockholm Universitet, SverigeLektor Meltem Daysal, Syddansk Universitet, Danmark Abstract This thesis consists of three self-contained chapters within Health Economics. The first chapter concerns the measurement of inequality in life expectancy across income classes. We show that standard methods overestimate the degree of inequality by imposing an assumption of no income mobility. We develop and validate a new method to account for income mobility in these estimations. Using Danish administrative data on mortality and income over three decades, we show that both the level and the trend in inequality in life expectancy are half as big, when accounting for income mobility. In the second chapter, I study the cognitive consequences of iodine deficiency in adolescence and the efficacy of iodized salt policies, a widely used public health policy to eradicate iodine deficiency. I find that the introduction of iodized salt in Denmark during 1998-2001 increased the average GPA of high school students by 6-9 percent of a standard deviation. While these effects are modest in size, they come at very low costs, suggesting that improving student nutrition is a low-hanging fruit among policies designed to increase student achievement. In the third and last chapter, I estimate the effects of health insurance coverage for psychotherapy on the use of other mental health services and mental health. Using a recent reform of the Danish public health insurance, I show that psychotherapy coverage reduces the use of outpatient psychiatric hospital treatment by eight percent, and that the savings in the hospital sector offset 30 percent of the cost of psychotherapy coverage. I also find a 20 percent reduction in the incidence of suicide attempts, suggesting that psychotherapy coverage has a large positive effect on mental health." "Martin Gonzalez-Eiras, University of Copenhagen";"Department of Economics, University of Copenhagen";"2019-03-12";"13:30";"2019-03-12";"14:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21.B";"”Cooperation and Retaliation in Legislative Bargaining” Seminar arranged by MRU";"”Cooperation and Retaliation in Legislative Bargaining” Abstract We study a legislative-bargaining divide-the-pie game in which some legislators have the ability to affect the amount of resources to be distributed (positively or negatively). If included in the winning coalition, these legislators cooperate and increase the size of the pie. If excluded, they retaliate and decrease it. Cooperation and retaliation produce significant changes in the equilibrium allocation relative to Baron and Ferejohn (1989). In particular, we find that, i) cooperating and retaliating districts are more likely to be included in the winning coalition, ii) the equilibrium might feature larger-than-minimum winning coalitions, and iii) there exist equilibria with inefficient output losses. Download paper Contact person: Nick Vikander" "SODAS Data Discussion, Cecilie Dohlmann Weatherall & Nete Schwennesen";"Copenhagen Center for Social Data Science, (SODAS)";"2019-03-08";"11:00";"2019-03-08";"12:00";"CSS, room 1.2.26";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce the second SODAS Data Discussion of this spring.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing the success with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Cecilie Dohlmann Weatherall, Senior Researcher at Kraks Fond, and Nete Schwennesen, Associate Professor, Department of Anthropology and Center for Healthy Ageing, will present at the second SODAS Data Discussion of this spring the 8th of March. Cecilie Dohlmann Weatherall:The non-Western Immigrant Concentration in a Neighborhood Affect Mental Health: Evidence from a quasi-random allocation of applicants in the public social housing system AbstractSocial interaction among neighbors influences residents’ employability and criminal behavior, in particular among male non-Western immigrants. In this paper we look at whether high concentration of non-Western immigrants in a neighborhood influences non-Western residents’ mental health. The combination of manual data collection from the public social housing system and administrative registry panel data gives us the opportunity to examine the causal impact of non-Western immigrants’ concentration on mental health. Our results from a quasi-random allocation of households into different neighborhoods suggest that being allocated to a neighborhood with a higher concentration of Non-Western immigrants has a significant and negative impact on mental health for non-Western immigrants. The effect is mainly among men. In particular, there is a significant and large effect on mental health from the concentration of immigrants from the residents’ own language group. Nete Schwennesen:When the physiotherapist goes digital: Algorithmic authority in the making AbstractAs human life becomes increasingly entangled with digital technologies, algorithmic systems are becoming a significant part of everyday life. The delegation of tasks to algorithms and their ability to make decisions without (or with little) human intervention has been characterized as a process of algorithmic authority, where algorithms increasingly shape ‘who we are and what we see’. This paper engage with the concept of algorithmic authority by way of analysing the affective and material processes through which algorithmic authority is created, negotiated and sometimes broken down. The study is based on an ethnographic exploration of the implementation of a smart phone application (ICURA) for the promotion of home-training for patients who have undergone hip replacement surgery in Denmark, and explores what happens when algorithms are designed to take on tasks in the arena of physical rehabilitation. I conclude by arguing, that the tendency among scholars to center on algorithms as the main actor producing authority, may overlook the dynamic material and affectual relations involved in the process of producing and maintaining algorithmic authority over time. The SODAS Data Discussion will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Erez Yoeli, MIT’s Sloan School of Management";"Seminar arranged by Microeconomic Research Unit (MRU) ";"2019-03-05";"10:30";"2019-03-05";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""A game theoretic explanation for spin and motivated reasoning"" Seminar arranged by Microeconomic Research Unit (MRU) ";"""A game theoretic explanation for spin and motivated reasoning"" Abstract ""Spin"" is ubiquitous in private, professional, and political life. Why does spin persist even though others anticipate it and adjust accordingly? What features is spin liable to have? Under what conditions are people likely to spin? Building on game theory insights, we present three stylized models, in which a sender, whose payoffs are increasing in receiver's beliefs, privately chooses what evidence to convey, how extensively to search, and which tests to run. In equilibrium, the sender only searches for and reveals evidence that increases receiver's posteriors (`supportive evidence') and runs `confirmatory' tests that maximize the likelihood of supportive evidence, regardless of the truth. Presuming senders internalize the highest beliefs consistent with presented evidence, senders also exhibit well-documented but unexplained features of motivated reasoning. Contact person: Christina Gravert " "Nick Fabrin Nielsen forsvarer sin ph.d.-afhandling";"Department of Economics, University of Copenhagen";"2019-03-04";"15:30";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26. 26.2.21";"Nick Fabrin Nielsen forsvarer sin ph.d.-afhandling: ""Empirical essays at the intersection of economics, health, and education"" ";"Nick Fabrin Nielsen forsvarer sin ph.d.-afhandling: ""Empirical essays at the intersection of economics, health, and education"" Kandidat: Fabrin Nielsen Titel “Empirical essays at the intersection of economics, health, and education” .. Tid og sted 4. marts 2019 kl. 15:30, Økonomisk Institut, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis. Bedømmelsesudvalg Professor Mette Gørtz, Økonomisk Institut, Københavns Universitet, Denmark (formand)Professor Maarten Lindeboom, Vrije University Amsterdam, The NetherlandsReader Annette Bergemann, Bristol University, United Kingdom Abstract This thesis consists of 4 self-contained chapters with topics at the intersection of economics, health and education. Each individual chapter presents a specific empirical investigation into one or more of the following broad category of questions: How does health influence the economic possibilities of individuals? How does economic circumstance and choice affect health of individuals? How does the childhood environment shape the (economic) future of children? The chapters are: Association of Type 1 Diabetes With Standardized Test Scores of Danish Schoolchildren Socioeconomic Inequality in metabolic control among children with type 1 diabetes: a nationwide longitudinal study of 4,079 Danish children Sick of Retirement? Differential Effects of the Timing of Divorce on Children’s outcomes: Evidence from Denmark Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut " "Marta Troya Martinez, New Economic School (Moscow)";"Microeconomic Research Unit (MRU)";"2019-02-26";"10:30";"2019-02-26";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"""Managing Relational Contracts"". Seminar arranged by Microeconomic Research Unit (MRU) Contact person: Peter Norman Sørensen";"""Managing Relational Contracts"" Abstract Relational contracts are typically modeled as being between a principal and an agent, such as a firm owner and a supplier. Yet in a variety of organizations relationships are overseen by an intermediary such as a manager. Such arrangements open the door for collusion between the manager and the agent. This paper develops a theory of such managed relational contracts. We show that managed relational contracts differ from principal-agent ones in important ways. First, kickbacks from the agent can help solve the manager's commitment problem. When commitment is difficult, this can result in higher agent effort than the principal could incentivize directly. Second, making relationships more valuable enables more collusion and hence can reduce effort. We also analyze the principal's delegation problem and show that she may or may not benefit from entrusting the relationship to a manager. " "Engagement and Diversity in the World of Data Science";"Copenhagen Center for Social Data Science";"2019-02-22";"11:00";"2019-02-22";"12:30";"CSS, room 1.2.26";"The first SODAS Lecture of the spring will be by Roberta Sinatra, Assistant Professor, Department of Computer Science, IT University Copenhagen. ";"While data science has without a doubt proven its enormous potential over the last decade or so, the new field is still trying to find its place in academia and society at large. In the 2019 spring lecture series, The Copenhagen Center for Social Data Science (SODAS) has invited scholars that will present their work that in one aspect or another address questions of, and experiments with, diversity and public engagement in the world of data science. Quantifying Performance and Success in Science and Art Our first speaker of the spring lecture series is Roberta Sinatra, Assistant Professor, Department of Computer Science, IT University Copenhagen. Abstract Performance, representing the objectively measurable achievements in a certain domain of activity, like the publication record of a scientist or the winning record of an athlete, captures the actions of an individual entity. In contrast, success, captured by impact or visibility, is a collective measure, representing a community’s reaction and acceptance of an individual entity’s performance. We are often driven by the belief that the detection of extraordinary performance is sufficient to predict exceptional success. However, the link between these two measures, while often taken for granted, is actually far from being understood. Indeed, even experts of performance assessment are notoriously bad at predicting long-term success. Nevertheless, differently from performance, success is quantifiable and predictable: given its collective nature, its signatures can be uncovered from the many pieces of data around us using the tools of network and data science. In this talk I will focus on success in science and art as a way to testing our ability to measure and predict success. I will discuss the role of luck in achieving success, and will address the relation between performance and success in a variety of settings, highlighting the challenges of gauging performance through success. The lecture will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.30 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Carlos Cueva, University of Alicante";"Seminar arranged by Microeconomic Research Unit (MRU) .";"2019-02-19";"10:30";"2019-02-19";"11:45";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.121B";"“Cognitive dissonance and investor beliefs: An experiment” MRU-seminar, arranged by the Department of Economics";"“Cognitive dissonance and investor beliefs: An experiment” Abstract Cognitive dissonance theory proposes that individuals tend to manipulate their beliefs when these might otherwise conflict with their self-image. Despite its recent popularity in behavioral finance as a unified explanation for important puzzles such as the disposition effect, little is known about the effect of cognitive dissonance on beliefs. In this experiment, subjects participate in an investment task and provide price forecasts under various conditions which should turn on or off cognitive dissonance. In line with the theory, our results show that beliefs are unresponsive to negative signals only for assets that have been personally purchased by subjects, while in other circumstances they are consistent with Bayesian updating.Contact person: Johan Lagerlöf" "SODAS Data Discussion, Kristoffer Pade Glavind & Kristoffer Albris";"Copenhagen Center for Social Data Science, (SODAS)";"2019-02-08";"11:00";"2019-02-08";"12:00";"CSS, room 1.2.26";"Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing the success with SODAS Data Discussions this spring.";" Copenhagen Center for Social Data Science (SODAS), is pleased to announce that we are continuing the success with SODAS Data Discussions this spring. SODAS aspirers to be a resource for all students and researchers at the Faculty of Social Sciences. We therefor invite researchers across the faculty to present ongoing research projects, project applications or just a loose idea that relates to the subject of social data science. Every month two researchers will present their work. The rules are simple: short research presentations of ten minutes are followed by twenty minutes of debate. No papers will be circulated beforehand, and the presentations cannot be longer than five slides. Kristoffer Pade Glavind and Kristoffer Albris will present at this springs first SODAS Data Discussion the 8th of February. Kristoffer Pade Glavind: Are smartphone contagious? How smartphone use spreads in social settings AbstractSmartphone use have been shown to correlate with chronic stress, emotional instability and depression- Still we know surprisingly little about what influences the use of smartphones. Using data from The Copenhagen Network Study and administrative data from Statistics Denmark, we wish to examine how one person’s smartphone use determine the smartphone use of his/her surroundings. To identify the causal effect, we will use a research design with exogenous variance from the reception of text messages from outside sources. Also working on the project is Andreas-Bjerre Nielsen and Asger Andersen. Kristoffer Albris: Ambivalent Intermediaries: The Role of Data Protection Officers in Denmark Abstract With the acceleration towards a data-driven market economy and public sector, private companies and public institutions are changing their organizational setups to incorporate mechanisms for managing and governing data. While having employees that oversee the acquisition, storage and application of data is by no means new, the recent introduction of both national and international legislation (i.e. GDPR), has obligated companies, organizations and institutions – public as well as private – to appoint or hire Data Protection Officers (DPOs). This paper presents the research design and the very first research results of a project examining the introduction of Data Protection Officers in different contexts and domains in Denmark, with the aim of understanding what this new role means for the practical implementation of data ethical standards and mechanisms within companies, organizations and institutions. As such, the project aims at understanding the politics of data ethics in the Denmark, by honing in specifically on the role of DPOs as intermediaries between those that supply the data (citizens/users) and those that manage and benefit from that data (companies/organizations/institutions). The SODAS Data Discussion will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 11.00 am to 12.00 pm. If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Egor Starkov, Northwestern University";"Department of Economics, University of Copenhagen";"2019-02-07";"14:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.1.21B";"Job Market Seminar";"“Bad News Turned Good: Reversal Under Censorship” Abstract Sellers often have the power to censor the reviews of their products. We explore the effect of these censorship policies in markets where some consumers are unaware of possible censorship. We find that if the share of such “naive” consumers is not too large, then rational consumers treat any bad review that is revealed in equilibrium as good news about product quality. This makes bad reviews worth revealing and allows the seller to use them as a costly signal of his product’s quality to rational consumers. Contact person: Peter Norman Sørensen" "Jiatong Zhong, Purdue University";"Department of Economics, University of Copenhagen";"2019-02-04";"15:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, 26.2.21";"Job Market Seminar";"Job Market Seminar" "Katharina Bergant, Trinity College Dublin";"Department of Economics, University of Copenhagen";"2019-02-01";"13:00";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“Valuation Effects and Capital Flows: Security Level Evidence from Euro Area Investors” Abstract We use confidential microdata on security holdings of all euro area investors to analyze portfolio rebalancing patterns in response to valuation changes. Our empirical findings provide evidence for “momentum investment” as investors show larger net purchases of securities which experience relatively higher valuation gains. This pattern is stronger for institutional investors (banks, investment funds, and insurance companies and pension funds) than for households or non-financial corporations and particularly pronounced in euro area countries less affected by the recent financial crisis. For securities denominated in foreign currency (i.e. non-euro), momentum investment is significantly stronger and driven by valuation gains from exchange rate dynamics rather than changes in market prices. Our analysis is consistent with a decreasing share of home currency holdings in euro area investors' portfolios, albeit from high levels, driven by rebalancing towards the US dollar and other foreign currencies over the past five years. Contact person: Peter Norman Sørensen" "Tomasz Sulka, The University of Edinburgh";"Department of Economics, University of Copenhagen";"2019-02-01";"10:30";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“Savings Contracts for Naive Agents” Abstract Recent pension reforms in OECD countries endow individuals with more responsibility for their financial security in retirement, raising concerns about their ability to select appropriate pension arrangements and save adequately. This paper analyses the interaction between a present-biased individual and a financial provider in order to examine the properties of equilibrium savings contracts and the impact of common policy interventions. Using a tractable model, I find that naïve present-biased agents are offered exploitative contracts that are either ‘inefficiently cheap' (low-yield, low-fee) or ‘inefficiently expensive' (high-yield, high-fee), depending on whether the income or the substitution effect of an interest rate change dominates in the agent's utility function. Subsequently, I embed the interaction with a pension provider in a numerical life-cycle framework with hyperbolic discounting. Under the benchmark calibration, the equilibrium contract is Pareto inefficient, lowers the agent's wealth at retirement by 10%, and generates a small, but non-trivial loss of consumer welfare of 0.17% per annum. Contact person: Alexander Christopher Sebald " "Dmitry Kuvshinov, University of Bonn";"Department of Economics, University of Copenhagen";"2019-01-31";"13:00";"2019-01-31";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“The Time Varying Risk Puzzle” Abstract This paper shows that the correlation between discount rates on three major risky asset classes – equity, housing and corporate bonds – is approximately zero. I establish this new stylised fact – the time varying risk puzzle – by using new long-run data for 17 advanced economies. I confirm that asset valuations and macro-financial risk factors predict returns on individual asset classes, but I show that none of these variables have predictive power across asset classes. The absence of observed discount rate co-movement is puzzling since all but a very select set of asset pricing models assume a joint pricing kernel and hence predict a high correlation of risk premia. My findings imply that variation in discount rates – through factors such as risk aversion, disaster risk and intermediary risk appetite – is, ultimately, not the key driver of observed asset price volatility. The absence of co-movement is not fully attributable to asset-specific risk, investor heterogeneity or market segmentation. Instead, the data point to volatile expectations as the central source of asset price volatility, in line with behavioural models. The observed expectation volatility has real economic effects on a business cycle frequency. Elevated sentiment – or overoptimistic expectations – predict low future GDP growth, and sentiment reversals often mark the onset of financial crises. Contact person: Emiliano Santoro " "Paolo Falco, OECD (Organization for Economic Co-operation and development)";"Department of Economics, University of Copenhagen";"2019-01-31";"10:30";"2019-01-31";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Marked Seminar";"“Do employers trust workers too little? An experimental study of trust in the labour market” Abstract We conduct a field experiment to investigate employers’ trust in workers. A sample of real entrepreneurs and workers from urban Ghana are respectively assigned to the roles of employers and employees in the experiment. Employers have the option to hire (trust) an employee, who can in turn choose whether to exert effort (trustworthiness) in a real-effort task with monetary payoffs. We elicit employers and employees’ expectations about each other’s choices and randomly provide information on previous behaviour. We find that employers significantly underestimate workers’ effort. This reduces hiring and profits. We also find that expectations respond to negative signals, but are inelastic with respect to positive news. Finally, we find that experimental behaviour relates directly to real-life choices: employers who hire less in their businesses have more pessimistic expectations and are less likely to trust in the experiment. Our evidence corroborates the hypothesis that an equilibrium with no experimentation and biased beliefs may be self-sustaining. Contact person: Henrik Hansen " "Josef Sigurdsson, Institute for International Economic Studies";"Department of Economics, University of Copenhagen";"2019-01-30";"14:15";"2019-01-30";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 35, room 35.3.13";"Job Market Seminar";"Stockholm University “Labor Supply Responses and Adjustment Frictions: A Tax-Free Year in Iceland” Abstract How does labor supply respond to a temporary wage change? To answer this question, I study an unexpected and salient tax reform in Iceland in 1987 that resulted in a year free of labor income taxes, but creating only minimal income effects, offering an ideal natural experiment. I first construct a new employer-employee dataset from digitized administrative records for the population. I then use two complementary research designs to estimate Frisch elasticities. The first design, which is standard, exploits the progressivity of the tax system and identifies an intensive-margin elasticity of 0.4. The second design, which is new, uses similarities in life-patterns of labor supply and identifies an extensive-margin semi-elasticity of 0.07. Guided by a combination of machine learning and causal estimation, I uncover three key mechanisms behind these responses. First, the young and those close to retirement drive the extensive-margin response. Second, workers with temporal flexibility and the hourly paid have substantially higher elasticities than constrained workers. However, constrained workers take up secondary jobs, which contribute 7% of the overall responses. Third, married women are more responsive than their husbands. Husbands, but not wives, respond negatively to their spouses' tax cuts, inconsistent with unitary household models. My results imply that voluntary changes in work are key to the transmission of aggregate shocks, but the responses depend on labor-market and demographic structures. Contact person: Claus Thustrup Kreiner " "Robert Mahlstedt, Department of Economics, UCPH";"Department of Economics, University of Copenhagen";"2019-01-29";"13:00";"2019-01-29";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, 26.2.21 (Large Seminar Room)";"Job Market Seminar";"“Subjective Expectations, Complexity and the Effectiveness of Public Policy” AbstractUnemployment insurance systems in modern labor markets are riddled with a multitude of rules and regulations governing job seekers’ economic situation and incentives. In this context, subjective expectations play an important for the individual decision-making. The talk presents results from two studies analyzing how biased perceptions about labor market policies can distort individual incentives and long-run labor market outcomes. First, based on a novel combination of German survey and register data, it is shown that participants in human capital intensive training programs who do not anticipate a treatment face substantially lower employment rates than their participating counterparts who expect to participate ex ante. The effect is robust with respect to various sources of unobserved heterogeneity and can be explained by the fact that individuals who do not expect to participate invest too little effort into the preparation of the treatment, e.g. they do not search for the optimal program provider. Second, we conduct a large-scale field experiment in the Danish labor market, in which we exogenously vary individuals’ understanding and perceptions of labor market policies by providing them real-time personalized information about their current UI benefit situation and related job search incentives. We study the causal impact of our intervention on individual job search behavior and subsequent labor market outcomes. Contact person: Jakob Roland Munch " "Albert Jan Hummel, Erasmus University Rotterdam";"Department of Economics, University of Copenhagen";"2019-01-28";"13:00";"2019-01-28";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“Unemployment and Tax Design” Abstract This paper studies the implications of unemployment for the optimal design of the tax-benefit system. To do so, I develop a directed search model where individuals face heterogeneous and uninsurable unemployment risk. They differ in terms of their skills and participation costs and supply labor on the intensive and extensive margin. Matching frictions give rise to a trade-off for workers between high wages and low unemployment risk. The government affects this trade-off by altering the costs and benefits of searching. The associated changes in unemployment generate fiscal externalities which modify optimal tax formulas. How unemployment affects optimal tax policy depends on the elasticity of unemployment with respect to the marginal and average tax rate and on the hazard rate of the income distribution. I show that optimal employment subsidies (such as the EITC) phase in with income. Moreover, financing unemployment benefits through lump-sum or proportional taxes on labor income – as is commonly assumed in the literature – is sub-optimal even in the absence of a motive for redistribution. I calibrate the model to the US economy and find that unemployment is an important margin to consider when setting tax rates at low levels of income. In my preferred calibration, unemployment generates a negative fiscal externality which lowers the mechanical revenue gain of income taxes by 3%. Contact person: Jakob Roland Munch" "Jörg Weber, University of Nottingham";"Department of Economics, University of Copenhagen";"2019-01-28";"10:30";"";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“How Do Individuals Repay Their Debt? The Balance-Matching Heuristic” Abstract We study how individuals repay their debt using linked data on multiple credit cards. Repayments are not allocated to the higher interest rate card, which would minimize the cost of borrowing. Moreover, the degree of misallocation is invariant to the economic stakes, which is inconsistent with optimization frictions. Instead, we show that repayments are consistent with a balance-matching heuristic under which the share of repayments on each card is matched to the share of balances on each card. Balance matching captures more than half of the predictable variation in repayments and is highly persistent within individuals over time. Contact person: Alexander Christopher Sebald " "SODAS Talk";"Copenhagen Center for Social Data Science (SODAS)";"2019-01-23";"14:00";"2019-01-23";"15:00";"CSS: Room 1.2.26";"Jobst Heitzig from Potsdam Institute for Climate Impact Research will be presenting at a SODAS Talk Wednesday the 23rd of January 2019.";"Co-evolution of social and natural dynamics in human-environment systems and the copan:CORE World-Earth modeling framework Jobst Heitzig from Potsdam Institute for Climate Impact Research will be presenting at a SODAS Talk Wednesday the 23rd of January 2019. Abstract Earth's future in the Anthropocene depends on interactions between natural and social dynamics, including opinion dynamics, social norms, behavioural change and coalition formation among heterogeneous agents on social networks. I will present examples of corresponding models and results from PIK's copan project and a general software framework for the modeling of such interactions. The latter, copan:CORE, allows the development, composition and running of so-called World-Earth models, i.e., models of social-ecological co-evolution up to planetary scales. It is an object-oriented software package written in Python designed for different user roles. Model composers are enabled to easily implement new models by plugging together existing model components, such as opinion formation on social networks, generic carbon cycle dynamics, or simple vegetation growth. For the sake of a modular structure, each provided component specifies a meaningful yet minimal collection of closely related processes. These processes can be formulated in terms of various process types, such as ordinary differential equations, explicit or implicit functions, as well as steps or events of deterministic or stochastic fashion. The framework provides elementary entity types such as grid cells, individuals and social systems and fundamental process taxa such as environment, social metabolism, and culture. Ref.: Heitzig*, J, Donges*, JF, Barfuss, W, Kassel, JA, Kittel, T, Kolb, JJ, Kolster, T, Müller-Hansen, F, Otto, IM, Wiedermann, M, Zimmerer, KB, Lucht, W (2018), Earth system modelling with complex dynamic human societies: the copan:CORE World-Earth modeling framework, Earth System Dynamics Discussions, in review (2018), doi:10.5194/esd-2017-126. * The first two authors share the lead authorship. The SODAS Talk will take place at SODAS' new location in building 1, 2nd floor, room 26 (1.2.26) of the CSS Campus, University of Copenhagen, from 2.00 pm- 3.00 pm (notice that we have changed the time to later the same day). If you have questions or want to know more, please write Agnete Vienberg Hansen at avh@econ.ku.dk." "Rory Mullen, Department of Economics, Washington";"Department of Economics, University of Copenhagen";"2019-01-23";"13:15";"2019-01-23";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"""On Aggregate Fluctuations, Systemic Risk, and the Covariance of Firm-Level Activity"" Job Market Seminar Abstract I study firm-level covariance of productivity, sales, and profit for Compustat firms over the last half-century, in order to understand the sources of aggregate variance and systemic risk for these firms. I find that firm-level covariance explains most of aggregate variance in Compustat, that high-productivity firms covary more with aggregate productivity, sales, and profit growth, but less per dollar of market value. I develop a theory based on diversification of business lines to explain these facts. I derive propositions that characterize endogenous first and second moments of firm and aggregate productivity, and relate firms’ expected stock returns to their endogenous firm-aggregate productivity covariances. As a plausibility check, I run regressions on the number of business segments Compustat firms report and find tentative support for the model’s predictions. Contact person: Emiliano Santoro " "Andreas Uthemann, Systemic Risk Centre at the London School of Economics";"Department of Economics, University of Copenhagen ";"2019-01-22";"15:00";"2019-01-22";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“Higher-Order Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service” Abstract We assess the ability of an information aggregation mechanism to reduce valuation uncertainty in an over-the-counter market. The analysis is based on a unique dataset of price estimates for S&P 500 index options that major financial institutions provide to a consensus pricing service. We consider two dimensions of uncertainty: uncertainty about fundamental asset values and strategic uncertainty about competitors' valuations. We estimate a structural model of learning from prices. From this, we obtain empirical measures of fundamental and strategic uncertainty that are based on market participants' posterior beliefs. Both dimensions of valuation uncertainty vary substantially across the different segments of the market. We use the structural model to assess subscribers' welfare under alternative information structures. We show that the main contribution of the service is to reduce subscribers' uncertainty about competitors' valuations rather than uncertainty about asset values themselves. Contact person: Peter Norman Sørensen" "Valentina Raponi, Imperial College Business School";"Department of Economics, University of Copenhagen";"2019-01-21";"15:00";"2019-01-21";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21 ";"Job Market Seminar";"“Testing Beta-Pricing Models Using Large Cross-Sections” Abstract We propose a methodology for estimating and testing beta-pricing models when a large number of assets is available for investment but the number of time-series observations is fixed. We first consider the case of correctly specified models with constant risk premia, and then extend our framework to deal with time-varying risk premia, potentially misspecified models, firm characteristics, and unbalanced panels. We show that our large cross-sectional framework poses a serious challenge to common empirical findings regarding the validity of beta-pricing models. Firm characteristics are found to explain a much larger proportion of variation in estimated expected returns than betas. Contact person: Anders Rahbek" "Kieu-Trang Nguyen, London School of Economics and Political Science";"Department of Economics, University of Copenhagen ";"2019-01-21";"13:00";"2019-01-21";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21 ";"Job Market Seminar";"“Trust and Innovation within the Firm: Evidence from Matched CEO-Firm Data” Abstract This paper provides evidence on the effect of trust on innovation within firms. I build a new matched CEO-firm-patent dataset covering 5,753 CEOs in 3,598 large US public firms and 700,000 patents during 2000-2011. To identify the effect of CEO's trust, I exploit variation in generalized trust across the countries of CEOs' ancestry, inferred from their last names using deanonymized historical censuses, as well as variation in CEOs' bilateral trust towards inventors. First, one standard deviation increase in CEO's generalized trust following a CEO turnover is associated with over 6% increase in firm's future patents. Second, changes in CEO's bilateral trust towards inventors in different countries (i.e., different R&D labs within multinational firms) or from different ethnic origins in the same firm have comparable effects on inventors' patenting, controlling for CEO and other stringent fixed effects. Trust-induced improvements in innovation are driven entirely by higher-quality patents, consistent with a model in which CEO's trust incentivizes researchers to undertake high-risk explorative R&D. Finally, I show that across and within firms, CEO's generalized trust is strongly correlated with a broader corporate culture of trust, as measured from the text analysis of one million online employee reviews. The evidence provides a micro-foundation for the well-known macro relationship between trust and growth. Contact person: Jakob Roland Munch" "Simon Reese, University of Southern California";"Department of Economics, University of Copenhagen ";"2019-01-21";"11:30";"2019-01-21";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21 ";"Job Market Seminar";"“The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation” Abstract In this paper we consider the properties of the Pesaran (2004, 2015) CD test for cross-section correlation when applied to residuals obtained from panel data models with many estimated parameters. We show that the presence of period-specific parameters leads the CD test statistic to diverge as the length of the time dimension of the sample grows. This result holds even if cross-section dependence is correctly accounted for and hence constitutes an example of the Incidental Parameters Problem. The relevance of this problem is investigated both for the classical Time Fixed Effects estimator as well as the Common Correlated Effects estimator of Pesaran (2006). We discuss approaches for re-establishing standard normal inference under the null hypothesis. Given the widespread use of the CD test statistic to test for remaining cross-section correlation, our results have far reaching implications for empirical researchers. Contact person: Henrik Hansen" "Quoc-Anh Do Department of Economics, Sciences Po";"Department of Economics, University of Copenhagen ";"2019-01-21";"10:00";"2019-01-21";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21 ";"Job Market Seminar";"“Friendship Networks and Political Opinions: A Natural Experiment from Future French Politicians” Abstract We study how friendship shapes students' political opinions in a natural experiment. We use the indicator whether two students were exogenously assigned to a short-term ``integration group'', unrelated to scholar activities and dissolved before the school year, as instrumental variable for their friendship, to estimate the effect of friendship on pairwise political opinion outcomes in dyadic regressions. After six months, friendship causes a reduction of differences in opinions by one quarter of the mean difference. It likely works through a homophily-enforced mechanism, by which friendship causes politically-similar students to join political associations together, which reinforces their political similarity. The effect is strong among initially similar pairs, but absent in dissimilar pairs. Friendship affects opinion gaps by reducing divergence, therefore polarization and extremism, without forcing individuals' views to converge. Network characteristics also matter to the friendship effect. Contact person: Jakob Roland Munch" "Francesc Dilmé, University of Bonn";"Department of Economics, University of Copenhagen";"2019-01-18";"14:00";"2019-01-18";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"""Bargaining and Delay in Thin Markets"" Job Market Seminar Abstract Many markets are thin: they have few traders at any given moment in time. For example, traders in job and housing markets are typically constrained, both by their geographical location and their individual characteristics. In these markets, entry and exit make trading opportunities stochastically change over time, affecting the bargaining position of traders. This paper presents a model of a thin market with endogenous arrival of traders and characterizes the timing and prices of the transactions. Trade delay and price dispersion are found to persist even when buyers and sellers are homogeneous and bargaining frictions are small. Our results underscore that properly incorporating the submarket structure into the study of decentralized markets is necessary in order to correctly assess some properties of their outcomes. Contact person: Peter Norman Sørensen " "Sebastian Doerr, University of Zurich";"Department of Economics, University of Copenhagen";"2019-01-18";"10:30";"2019-01-19";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job market seminar";"“No Risk, No Growth: The Effects of Stress Testing on Entrepreneurship and Innovation” Abstract This paper shows that post-crisis financial regulation reduces bank credit to young firms and leads to a decline in entrepreneurship and innovation. I provide evidence that banks subject to stress tests strongly cut small businesses lending, in particular lending secured by real estate collateral. Lower credit supply leads to a relative decline in the number and share of entrepreneurs during the recovery in counties with high exposure to stress tested banks, relative to counties with low exposure. Since real estate collateral is an important source of financing for young firms, the decline in entrepreneurship is stronger in sectors with a higher share of firms using home equity financing, i.e. where the reduction in credit hits hardest. Counties with higher exposure also see a decline in innovation: patent applications by young firms fall significantly, but not by old. As young firms contribute disproportionately to aggregate growth, my findings suggest that financial regulation reduces dynamism and innovation in the U.S. and contributes to the post-crisis productivity slowdown. Results are robust to controlling for unobservable local and industry characteristics through granular fixed effects and an instrumental variable approach that predicts county exposure with a gravity model of bank expansion. Contact person: Peter Norman Sørensen" "Saman Darougheh, Institute for International Economic Studies (Stockholm)";"Department of Economics, University of Copenhagen";"2019-01-17";"13:00";"2019-01-17";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“Specialized Human Capital and Unemployment”. Job Market Seminar Abstract I argue that workers in occupations that are employable in more industries (“broader” occupations) are better insured against industry-specific shocks. Using geographical variation in occupation-level broadness, I show that individuals in broader occupations had higher job-finding rates during the Great Recession. Moreover, the unemployment rates of broad occupations increased less during that period, and the pool of unemployed consisted of more specialists than in other recessions. These facts would lead you to believe that recessions that primarily affect specialized occupations create more misallocation of labor and hence larger unemployment responses. I test this theory in a Lucas (1974) island setting where both intra-island labor markets and inter-island mobility are frictional. In the model, industries propagate productivity shocks to the occupations that they employ. Broad workers respond to productivity shocks to any of their industries by relocating to other industries. They thereby propagate the shock to the broad workers in the remaining industries: The original shock is weakened, but affects more individuals. Specialists are harder hit but respond by switching occupations – and thus offset partly the aggregate unemployment impact of a shock to specialist industries. Therefore, a shock to industries that employ specialist workers leads to a smaller unemployment response. I conclude that the composition of industries and occupations affected during Great Recession was not a key driver of the sharp rise in aggregate unemployment. Contact person: Emiliano Santoro " "Julia Salmi, Aalto University School of Business (Helsinki)";"Department of Economics, University of Copenhagen";"2019-01-17";"10:30";"2019-01-17";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"""Endogenous Learning from Incremental Actions"". Job Market Seminar Abstract We study an experimentation problem where actions today have a long-lasting impact on information generation in the future. Actions are irreversible and generate information gradually over time. We solve for the optimal path of actions when the decision maker does not know the payoff-relevant state of the world. Because current choices have persistent effects, the problem has two state variables: a summary of past actions and the current belief on the state of the world. There is a novel informational trade-off as acting today speeds up information generation but postponing actions results in more informed choices. Our two leading examples cover the monopoly pricing of durable goods with social learning and capacity expansion in a market with uncertain optimal size. We show that since the monopolist can internalize future benefits from learning, the monopolist’s optimal solution may result in a higher social surplus than the competitive market in both examples. Contact person: Peter Norman Sørensen " "Ian Levely, Wageningen University";"Department of Economics, University of Copenhagen";"2019-01-16";"10:00";"2019-01-16";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"“Joint Production and Household Bargaining: an experiment with spouses in rural Tanzania” Job Market Seminar Abstract We present evidence that intra-household decision making can lead to inefficient outcomes. Specifically, we show that a spouse's control over the household budget increases with private earnings, but not with the share of earnings from a joint venture. This can prevent couples from working together, even when it is the most efficient option. We test this using a framed eld experiment with married couples in rural Tanzania. In this setting, many farm households exhibit seemingly inefficient behavior, raising multiple crops, each grown primarily by one individual, rather than concentrating household effort on the most profitable crop. In our experiment, spouses were assigned work in a real-effort task, earning vouchers that they spent together. In some treatments, we divided the task into multiple projects. We find that earning more increases bargaining power, but not if that income is earned from a ""joint"" project that involved both spouses. In a related choice experiment, we find that many subjects avoid joint projects, even when doing so is costly, and that these choices are correlated with lower agricultural income. Similar mental accounting could explain inefficient intra-household decision-making in other settings. Contact person: Henrik Hansen" "Albin Erlanson, Department of Economics (Stockholm)";"Department of Economics, University of Copenhagen";"2019-01-15";"13:00";"2019-01-15";"";"Department of Economics, CSS, Øster Farimagsgade 5, building 26, room 26.2.21";"Job Market Seminar";"Optimal allocations with capacity constrained verification. Job Market Seminar Abstract There is a principal with m identical objects to allocate among a group of n agents. Objects are desirable and each agent needs at most one copy. Assigning an object to agent i generates a value of t_i to the principal and the principal’s objective is to maximize the expected value from allocating the m objects. Agent i’s type t_i is his private information. There are no monetary transfers available but the principal can verify up to k agents, where k