The Covid-19 Pandemic and the 2020 U.S. Presidential Election

41 Pages Posted: 16 Nov 2020 Last revised: 6 May 2025

See all articles by Leonardo Baccini

Leonardo Baccini

McGill University

Abel Brodeur

IZA Institute of Labor Economics; University of Ottawa - Department of Economics; Institute for Replication

Stephen Weymouth

Georgetown University

Abstract

What is the effect of the COVID-19 pandemic on the 2020 U.S. presidential election? Guided by a pre-analysis plan, we estimate the effect of COVID-19 cases and deaths on the change in county-level voting for Donald Trump between 2016 and 2020. To account for potential confounders, we include a large number of COVID-19-related controls as well as demographic and socioeconomic variables. Moreover, we instrument the numbers of cases and deaths with the share of workers employed in meat-processing factories to sharpen our identification strategy. We find that COVID-19 cases negatively affected Trump's vote share. The estimated effect appears strongest in urban counties, in swing states, and in states that Trump won in 2016. A simple counterfactual analysis suggests that Trump would likely have won re-election if COVID-19 cases had been 5 percent lower. Our paper contributes to the literature of retrospective voting and demonstrates that voters hold leaders accountable for their (mis-)handling of negative shocks.

Keywords: pre-analysis plan, COVID-19, pandemic, elections, political behavior

JEL Classification: D72, I18

Suggested Citation

Baccini, Leonardo and Brodeur, Abel and Brodeur, Abel and Weymouth, Stephen, The Covid-19 Pandemic and the 2020 U.S. Presidential Election. IZA Discussion Paper No. 13862, Available at SSRN: https://ssrn.com/abstract=3730460

Leonardo Baccini (Contact Author)

McGill University ( email )

1001 Sherbrooke St. W
Montreal, Quebec H3A 1G5
Canada

Abel Brodeur

IZA Institute of Labor Economics ( email )

P.O. Box 7240
Bonn, D-53072
Germany

University of Ottawa - Department of Economics ( email )

200 Wilbrod Street
Ottawa, Ontario K1N 6N5
Canada

HOME PAGE: http://https://sites.google.com/site/abelbrodeur/

Institute for Replication ( email )

Stephen Weymouth

Georgetown University

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