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

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  • Desmet, Klaus
  • Wacziarg, Romain

Abstract

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.

Suggested Citation

  • Desmet, Klaus & Wacziarg, Romain, 2022. "JUE Insight: Understanding spatial variation in COVID-19 across the United States," Journal of Urban Economics, Elsevier, vol. 127(C).
  • Handle: RePEc:eee:juecon:v:127:y:2022:i:c:s0094119021000140
    DOI: 10.1016/j.jue.2021.103332
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    1. James Lake & Jun Nie, 2020. "The 2020 US Presidential election: Trump's wars on COVID-19, health insurance, and trade," Departmental Working Papers 2014, Southern Methodist University, Department of Economics.
    2. Wenzhi Ding & Ross Levine & Chen Lin & Wensi Xie, 2020. "Social Distancing and Social Capital: Why U.S. Counties Respond Differently to COVID-19," NBER Working Papers 27393, National Bureau of Economic Research, Inc.
    3. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    4. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    5. Bisin, Alberto & Moro, Andrea, 2020. "Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses," MPRA Paper 101059, University Library of Munich, Germany.
    6. Christopher R. Knittel & Bora Ozaltun, 2020. "What Does and Does Not Correlate with COVID-19 Death Rates," NBER Working Papers 27391, National Bureau of Economic Research, Inc.
    7. Durante, Ruben & Guiso, Luigi & Gulino, Giorgio, 2021. "Asocial capital: Civic culture and social distancing during COVID-19," Journal of Public Economics, Elsevier, vol. 194(C).
    8. Victor Ginsburgh & Glenn Magerman & Ilaria Natali, 2020. "COVID-19 and the Role of Economic Conditions in French Regional Departments," Working Papers ECARES 2020-17, ULB -- Universite Libre de Bruxelles.
    9. McLaren John, 2021. "Racial Disparity in COVID-19 Deaths: Seeking Economic Roots with Census Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(3), pages 897-919, July.
    10. Bursztyn, Leonardo & Rao, Aakaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation During a Pandemic," CAGE Online Working Paper Series 481, Competitive Advantage in the Global Economy (CAGE).
    11. Philip Verwimp, 2020. "The Spread of COVID-19 in Belgium: a Municipality-Level Analysis," Working Papers ECARES 2020-25, ULB -- Universite Libre de Bruxelles.
    12. Rupasingha, Anil & Goetz, Stephan J. & Freshwater, David, 2006. "The production of social capital in US counties," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(1), pages 83-101, February.
    13. M. Keith Chen & Yilin Zhuo & Malena de la Fuente & Ryne Rohla & Elisa F. Long, 2020. "Causal Estimation of Stay-at-Home Orders on SARS-CoV-2 Transmission," Papers 2005.05469, arXiv.org.
    14. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    15. Jeffrey E. Harris, 2020. "The Subways Seeded the Massive Coronavirus Epidemic in New York City," NBER Working Papers 27021, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Andrew J. Curtis & Jayakrishnan Ajayakumar & Jacqueline Curtis & Sam Brown, 2022. "Spatial Syndromic Surveillance and COVID-19 in the U.S.: Local Cluster Mapping for Pandemic Preparedness," IJERPH, MDPI, vol. 19(15), pages 1-15, July.
    2. Hilary Silver & Rebecca Morris, 2023. "Homelessness, Politics, and Policy: Predicting Spatial Variation in COVID-19 Cases and Deaths," IJERPH, MDPI, vol. 20(4), pages 1-13, February.
    3. Deng, Yongheng & Meng, Lina & Zhou, Yinggang, 2022. "The effectiveness and costs of nonpharmaceutical interventions for COVID-19 containment: A border discontinuous difference-in-difference approach," China Economic Review, Elsevier, vol. 75(C).
    4. Cooper, Daniel & Garga, Vaishali & Luengo-Prado, María José & Tang, Jenny, 2023. "The mitigating effect of masks on the spread of Covid-19," Economics & Human Biology, Elsevier, vol. 48(C).

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