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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

Huffman, D., Raymond, C. and Shvets, J. Persistent Overconfidence and Biased Memory: Evidence from Managers American Economic Review [2022]

Carvalho, V. M., Nirei, M., Saito, Y. U. and Tahbaz-Salehi, A. Supply Chain Disruptions: Evidence from the Great East Japan Earthquake Quarterly Journal of Economics [2021]

Ductor, L., Goyal, S. and Prummer, A. Gender and Collaboration Review of Economics and Statistics, forthcoming [2023]

Ding, Y. A Simple Joint Model for Returns, Volatility and Volatility of Volatility Journal of Econometrics [2023]