Aim of the course: This course aims to introduce students to the fundamentals of experimental economics. It provides a solid grounding in the experimental methodology— covering design principles, implementation, and data analysis—and o?ers an overview of major research areas that have recently attracted significant scholarly interest. Through the discussion of both classic and contemporary studies, students will gain an understanding of how experiments are used to test economic theories, explore behavioral regularities, and inform policy design.
Grading:
Group presentation: about 15 min; each member of the group must present; focus on motivation, design and main results. A final slide discussing possible limitations of the paper is welcome.
Final presentation: each participant will be assigned a paper and will have to give a 15 min presentation including:
Detailed syllabus
Topic 1 – Trends and Replication (November 4th) Required readings:
Falk, A., & Heckman, J. J. (2009). Lab experiments are a major source of knowledge in the social sciences. Science, 326(5952), 535-538. https://doi.org/10.1126/science.1168244
Uri, S., Joe, S., & Leif, N. (2023, June 17). Data Falsificada (Part 1): “Clusterfake”. Data Colada (Colada 109). https://datacolada.org/109
Additional readings:
Brodeur, A., Lé, M., Sangnier, M., & Zylberberg, Y. (2016). Star Wars: The empirics strike back. American Economic Journal: Applied Economics, 8(1), 1–32. https://doi.org/10.1257/app.20150044
Camerer, C. F., Dreber, A., Forsell, E., Ho, T.-H., Huber, J., Johannesson, M., Kirchler, M., …
Wu, H. (2016). Evaluating replicability of laboratory experiments in economics. Science, 351(6280), 1433–1436. https://doi.org/10.1126/science.aaf0918
Fréchette, G. R., Sarno?, K., & Yariv, L. (2022). Experimental economics: Past and future.
Annual Review of Economics, 14, 777–794. https://doi.org/10.1146/annurev-economics081621-124424
Huber, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Weitzel, U., … Holzmeister, F. (2023). Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs. Proceedings of the National Academy of Sciences, 120(23), e2215572120. https://doi.org/10.1073/pnas.2215572120
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359–1366. https://doi.org/10.1177/0956797611417632
Topic 2 – Other Regarding Preferences and Fairness (November 6th) Required readings:
Fehr, E., Epper, T., & Senn, J. (2023). Other-regarding preferences and redistributive politics.
University of Zurich, Department of Economics Working Paper.
Additional readings:
Almås, I., Cappelen, A.W. and Tungodden B (2020) Cutthroat Capitalism versus Cuddly Socialism: Are Americans More Meritocratic and E?iciency-Seeking than Scandinavians? Journal of Political Economy, 128:5, 1753-1788: https://doi.org/10.1086/705551
Cappelen, A. W., Falch, R., and Tungodden, B. (2020). Fair and unfair income inequality, Handbook of Labor, Human Resources and Population Economics, 2020
Fehr, E., and Schmidt, K. M. (2005). The Economics of Fairness, Reciprocity and Altruism – Experimental Evidence and New Theories, Munich Discussion Paper, No. 2005-20. https://doi.org/10.5282/ubm/epub.726
Herrmann, B. et al. (2008) Antisocial Punishment Across Societies. Science 319,13621367: https://doi.org/10.1126/science.1153808
Rustagi, D., Engel, S., & Kosfeld, M. (2010). Conditional Cooperation and Costly Monitoring Explain Success in Forest Commons Management. Science, 330(6006), 961–965.
http://www.jstor.org/stable/40931871
Topic 3 – Voting and Social Media (November 11th) Required readings:
Bail et al. (2018) Exposure to opposing views on social media can increase political polarization. PNAS, 115 (37), 9216-9221: https://www.pnas.org/doi/10.1073/pnas.1804840115
Chen, Y. and Yang D. Y. (2019) The Impact of Media Censorship: 1984 or Brave New World? American Economic Review, 109 (6): 2294-2332: https://doi.org/10.1257/aer.20171765 Additional readings:
Bursztyn, Leonardo, Davide Cantoni, David Y. Yang, Noam Yuchtman, and Y. Jane Zhang. (2021) Persistent Political Engagement: Social Interactions and the Dynamics of Protest Movements. American Economic Review: Insights, 3 (2): 233– 50: https://www.aeaweb.org/articles?id=10.1257/aeri.20200261
Charles A. Holt. Markets, Games, and Strategic Behavior: An Introduction to Experimental Economics, Chapter 19
Gerber, A.S., and Greenx D.P. Field Experiments on Voter Mobilization: An Overview of a
Burgeoning Literature, Chapter 9, in Banarjee A.V. and Duflo E. Handbook of Economic Field Experiments, volume 1 Group presentation:
Bursztyn, L., Handel, B., Jiménez-Durán, R., & Roth, C. (forthcoming). When product markets become collective traps: The case of social media. American Economic Review. https://www.nber.org/papers/w31771
Topic 4 – Information Provision Experiments, Social Norms, and Gender (November
17th)
Required readings:
Bursztyn, L., González, A. L., & Yanagizawa-Drott, D. (2020). Misperceived social norms:
Women working outside the home in Saudi Arabia. American Economic Review, 110(10), 2997-3029: https://www.aeaweb.org/articles?id=10.1257/aer.20180975 Additional readings:
Andre, P., Boneva, T., Chopra, F. & Falk, A. (2024). Misperceived Social Norms and Willingness to Act Against Climate Change: https://doi.org/10.1162/rest_a_01468 Group presentation:
Babcock, L., Recalde, M. P., Vesterlund, L., & Weingart, L. (2017). Gender di?erences in accepting and receiving requests for tasks with low promotability. American Economic Review, 107(3), 714–747. https://doi.org/10.1257/aer.20141734
Topic 5 – Mistakes and Motivated Beliefs (TBA) Required readings:
Zimmermann, F. (2020). The dynamics of motivated beliefs. American Economic Review, 110(2), 337–361.
Additional Readings:
Amelio, A., & Zimmermann, F. (2023). Motivated memory in economics—A review. Games, 14(1), 15. https://doi.org/10.3390/g14010015
Serra-Garcia, M., & Gneezy, U. (2021). Mistakes, overconfidence, and the e?ect of sharing on detecting lies. American Economic Review, 111(10), 3160–3183. https://doi.org/10.1257/aer.20191295