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Behavior and the Transmission of COVID-19

Andrew G. Atkeson, Karen Kopecky and Tao Zha

AEA Papers and Proceedings, 2021, vol. 111, 356-60

Abstract: A simple model of COVID-19 that incorporates feedback from disease prevalence to disease transmission through an endogenous response of human behavior does a remarkable job fitting the main features of the data on the growth rates of daily deaths observed across a large number of countries and states in the United States in 2020. This finding, however, suggests a new empirical puzzle: very large wedges that shift disease transmission rates holding disease prevalence fixed are required both across regions and within a region over time for the model to match the data on deaths from COVID-19 as an equilibrium outcome exactly.

JEL-codes: I12 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (12)

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DOI: 10.1257/pandp.20211064

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