Data and code for: Identity during a Crisis: COVID-19 and Ethnic Divisions in the United States

Principal Investigator(s): View help for Principal Investigator(s) Jakina Debnam Guzman, Amherst College; Marie Christelle Mabeu, Stanford University; Roland Pongou, University of Ottawa

Version: View help for Version V1

Name	File Type	Size	Last Modified
CovidAndEthnicDivision_Replication			01/13/2022 06:27:PM

Project Citation:

Debnam Guzman, Jakina, Mabeu, Marie Christelle, and Pongou, Roland. Data and code for: Identity during a Crisis: COVID-19 and Ethnic Divisions in the United States . Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-04-08. https://doi.org/10.3886/E159362V1

Project Description

Summary: During a crisis, does ethnic composition influence policy efficiency? How do the effects of ethnic divisions differ from those of ethnic diversity? Using the lens of the COVID-19 pandemic, we show that ethnic divisions, rather than diversity, significantly reduce the efficacy of crisis response. U.S. counties with higher levels of ethnic divisions fared worse after lockdowns in COVID-19 cases and deaths. Diversity had little effect, except in highly segregated areas. Results are not driven by differences in politics, public goods, socioeconomics, or levels of high-risk populations.

Funding Sources: SSHRC (PEG 231377-190299-2001); SSHRC (231415-190299-2001)

Scope of Project

JEL Classification:
I14 Health and Inequality

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Published Versions

V1 [2022-04-08]

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