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Are COVID fatalities in the US higher than in the EU, and if so, why?

Author

Listed:
  • Ainoa Aparicio

    (University of Turin, IZA, GLO, and CHILD)

  • Shoshana Grossbard

    (San Diego State University, Family Inequality Network at University of Chicago, IZA, CESifo, and GLO)

Abstract

The COVID crisis has severely hit both the United States and Europe. We construct comparable measures of the death toll of the COVID crisis suffered by US states and 35 European countries: cumulative fatalities attributed to COVID at 100 days since the pandemic’s onset in a particular nation/state. When taking account of demographic, economic, and political factors (but not health-policy related factors) we find that, controlling for population size, cumulative deaths are between 100 and 130% higher in a US state than in a European country. We no longer find a US/EUROPE gap in fatalities from COVID after taking account of how each nation/state implemented social distance measures. This suggests that various types of social distance measures such as school closings and lockdowns, and how soon they were implemented, help explain the US/EUROPE gap in cumulative deaths measured 100 days after the pandemic’s onset in a state or country.

Suggested Citation

  • Ainoa Aparicio & Shoshana Grossbard, 2021. "Are COVID fatalities in the US higher than in the EU, and if so, why?," Review of Economics of the Household, Springer, vol. 19(2), pages 307-326, June.
    • Handle: RePEc:kap:reveho:v:19:y:2021:i:2:d:10.1007_s11150-020-09532-9
    DOI: 10.1007/s11150-020-09532-9
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    References listed on IDEAS

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    1. Alexander Ahammer & Martin Halla & Mario Lackner, 2020. "Mass Gatherings Contributed to Early COVID-19 Mortality: Evidence from US Sports," Economics working papers 2020-13, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Aparicio Fenoll, Ainoa & Grossbard, Shoshana, 2020. "Intergenerational residence patterns and Covid-19 fatalities in the EU and the US," Economics & Human Biology, Elsevier, vol. 39(C).
    3. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    4. Jeffrey E. Harris, 2020. "Reopening Under COVID-19: What to Watch For," NBER Working Papers 27166, National Bureau of Economic Research, Inc.
    5. Alexander Ahammer & Martin Halla & Mario Lackner, 2023. "Mass gatherings contributed to early COVID‐19 mortality: Evidence from US sports," Contemporary Economic Policy, Western Economic Association International, vol. 41(3), pages 471-488, July.
    6. Laliotis, Ioannis & Minos, Dimitrios, 2020. "Spreading the disease: The role of culture," SocArXiv z4ndc, Center for Open Science.
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    Cited by:

    1. Herby, Jonas & Jonung, Lars & Hanke, Steve, 2022. "A Literature Review and Meta-Analysis of the Effects of Lockdowns on COVID-19 Mortality – II," Studies in Applied Economics 210, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    2. Tim F. Liao, 2022. "A Study of Cumulative COVID-19 Mortality Trends Associated with Ethnic-Racial Composition, Income Inequality, and Party Inclination among US Counties," IJERPH, MDPI, vol. 19(23), pages 1-8, November.
    3. Egor Malkov, 2021. "Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States," Papers 2107.14350, arXiv.org, revised Sep 2021.

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    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

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