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COVID-19 and the role of inequality in French regional departments

Author

Listed:
  • Ginsburgh, Victor

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

  • Magerman, Glenn
  • Natali, Ilaria

Abstract

In this paper, we examine the variation in the outbreak of COVID-19 across departments in continental France. We use information on the cumulated number of deaths, discharged patients and infections from COVID-19 at the department level, and study how these relate to income inequality, controlling for other factors. We fnd that unfortunately, inequality kills: departments with higher income inequality face more deaths, more discharged (gravely ill) patients and more infections. While other papers have studied the impact of the level of income on the severity of COVID-19, we fnd that it is in fact the dispersion across incomes within the same department that drives the results. Our results suggest that individuals in relatively more precarious conditions deserve dedicated policies, to avoid that temporary shocks such as COVID-19 lead to permanent increases in inequality.

Suggested Citation

  • Ginsburgh, Victor & Magerman, Glenn & Natali, Ilaria, 2021. "COVID-19 and the role of inequality in French regional departments," LIDAM Reprints CORE 3141, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:3141
    DOI: https://doi.org/10.1007/s10198-020-01254-0
    Note: In: The European Journal of Health Economics, 2021, vol. 22, p. 311-327
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    References listed on IDEAS

    as
    1. Borjas, George J., 2020. "Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods," IZA Discussion Papers 13115, Institute of Labor Economics (IZA).
    2. Philip Verwimp, 2020. "The Spread of COVID-19 in Belgium: a Municipality-Level Analysis," Working Papers ECARES 2020-25, ULB -- Universite Libre de Bruxelles.
    3. Klaus Desmet & Romain Wacziarg, 2020. "Understanding Spatial Variation in COVID-19 across the United States," NBER Working Papers 27329, National Bureau of Economic Research, Inc.
    4. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 22nd March 2021
      by Chris Sampson in The Academic Health Economists' Blog on 2021-03-22 12:00:01

    Citations

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    Cited by:

    1. Steven Stillman & Mirco Tonin, 2022. "Communities and testing for COVID-19," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 617-625, June.
    2. Bello, Piera & Rocco, Lorenzo, 2022. "Education and COVID-19 excess mortality," Economics & Human Biology, Elsevier, vol. 47(C).
    3. Ilaria Natali & Mathias Dewatripont & Victor Ginsburgh & Michel Goldman & Patrick Legros, 2023. "Prescription opioids and economic hardship in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1473-1504, December.
    4. Bello, Piera & Rocco, Lorenzo, 2021. "Education, Information, and COVID-19 Excess Mortality," IZA Discussion Papers 14402, Institute of Labor Economics (IZA).
    5. Ana Suárez à lvarez & Ana Jesús López Menéndez, 2021. "Approaching The Impact Of Covid-19 From An Inequality Of Opportunity Perspective: An Analysis Of European Countries," Working Papers 595, ECINEQ, Society for the Study of Economic Inequality.
    6. Jurgita Markevičiūtė & Jolita Bernatavičienė & Rūta Levulienė & Viktor Medvedev & Povilas Treigys & Julius Venskus, 2022. "Impact of COVID-19-Related Lockdown Measures on Economic and Social Outcomes in Lithuania," Mathematics, MDPI, vol. 10(15), pages 1-20, August.

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    More about this item

    Keywords

    COVID-19 ; France ; Departmental efects on the pandemic;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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