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Faculty of Economics

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Velu, C. and Iyer, S.

Learning From Near Misses from Covid 19

Proceedings of the National Academy of Sciences

Vol. 118 no. 40 (2021)

Abstract: Conley and Johnson (1) make a significant contribution to how the social sciences need to advance research on COVID-19. The authors suggest that studies on COVID-19 could learn from other similar one-time events to better understand causality and hence generalizability: Researchers need to be creative in their research design, due to the uniqueness of COVID-19, by constructing datasets that contain the same variables as the one-time event or studying possible effects over longer time periods. These approaches aim to study events that have occurred and examine their causal effects.

Letter in response to: Past is future for the era of COVID-19 research in the social sciences, (24 March 2021, Proceedings of the National Academy of Sciences)

Reply to Velu and Iyer: The promise and limits of “near-miss” pandemic-related research, (5 October 2021, Proceedings of the National Academy of Sciences, volume 118, number 40.)

Author links: Sriya Iyer  

Publisher's Link:

Keynes Fund Project(s):
Religion and Covid-19 (JHUW)  

Papers and Publications

Recent Publications

Bhattacharya, D. and Shvets, J. Inferring Trade-Offs in University Admissions: Evidence from Cambridge Journal of Political Economy, accepted [2024]

Porzio, T., Rossi, F. and Santangelo, G. The Human Side of Structural Transformation American Economic Review [2022]

Ritz, R. Does Competition Increase Pass-Through? Rand Journal of Economics [2024]

Evans, R. A. and Reiche, S. K. When Is a Contrarian Adviser Optimal? American Economic Journal: Microeconomics [2023]