JUE Insight: Understanding spatial variation in COVID-19 across the United States

What factors explain spatial variation in the severity of COVID-19 across the United States? To answer this question, we analyze the correlates of COVID-19 cases and deaths across US counties. We document four sets of facts. First, effective density is an important and persistent determinant of COVI...

Full description

Saved in:
Bibliographic Details
Published inJournal of urban economics Vol. 127; p. 103332
Main Authors Desmet, Klaus, Wacziarg, Romain
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.01.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:What factors explain spatial variation in the severity of COVID-19 across the United States? To answer this question, we analyze the correlates of COVID-19 cases and deaths across US counties. We document four sets of facts. First, effective density is an important and persistent determinant of COVID-19 severity. Second, counties with more nursing home residents, lower income, higher poverty rates, and a greater presence of African Americans and Hispanics are disproportionately impacted, and these effects show no sign of disappearing over time. Third, the effect of certain characteristics, such as the distance to major international airports and the share of elderly individuals, dies out over time. Fourth, Trump-leaning counties are less severely affected early on, but later suffer from a large severity penalty.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0094-1190
1095-9068
0094-1190
DOI:10.1016/j.jue.2021.103332