Urban density and COVID-19: understanding the US experience

Felipe Carozzi (), Sandro Provenzano () and Sefi Roth ()
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Felipe Carozzi: London School of Economics
Sandro Provenzano: London School of Economics
Sefi Roth: London School of Economics

The Annals of Regional Science, 2024, vol. 72, issue 1, No 8, 163-194

Abstract: Abstract This paper revisits the debate around the link between population density and the severity of COVID-19 spread in the USA. We do so by conducting an empirical analysis based on graphical evidence, regression analysis and instrumental variable strategies borrowed from the agglomeration literature. Studying the period between the start of the epidemic and the beginning of the vaccination campaign at the end of 2020, we find that the cross-sectional relationship between density and COVID-19 deaths changed as the year evolved. Initially, denser counties experienced more COVID-19 deaths. Yet, by December, the relationship between COVID deaths and urban density was completely flat. This is consistent with evidence indicating density affected the timing of the outbreak—with denser locations more likely to have an early outbreak—yet had no influence on time-adjusted COVID-19 cases and deaths. Using data from Google, Facebook, the US Census and other sources, we investigate potential mechanisms behind these findings.

JEL-codes: I12 R12 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00168-022-01193-z

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