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The macroeconomic determinants of COVID-19 mortality rate and the role of post subprime crisis decisions

Author

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  • Olivier Damette

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Stéphane Goutte

    (Cemotev - Centre d'études sur la mondialisation, les conflits, les territoires et les vulnérabilités - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines)

Abstract

We investigate, for the first time, the empirical drivers of the Covid-19 crosscountry mortality rates at a macroeconomic level. The intensity of the pandemic (number of infected people), the demographic structure (proportion of people age 65 or above) and the openness degree (number of tourists arrivals) seem to be significant predictors in addition to health infrastructures (number of hospital beds, physicians). We also find that the subprime crisis and the austerity policies conducted in certain countries, by reducing the public health expenditures in the last ten years and altering the adaptation capacity of the health system, have probably intensified the tragic consequences of the Covid-19 pandemic. Pollution seems to have only played a marginal role as well as control strategies (travel restrictions, testing policy). We do not find consistent effects against the Covid-19 virus due to past exposal to other types of epidemics like Malaria or Tuberculosis.

Suggested Citation

  • Olivier Damette & Stéphane Goutte, 2020. "The macroeconomic determinants of COVID-19 mortality rate and the role of post subprime crisis decisions," Working Papers halshs-02620834, HAL.
    • Handle: RePEc:hal:wpaper:halshs-02620834
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02620834
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    References listed on IDEAS

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    6. Joël Mossong & Niel Hens & Mark Jit & Philippe Beutels & Kari Auranen & Rafael Mikolajczyk & Marco Massari & Stefania Salmaso & Gianpaolo Scalia Tomba & Jacco Wallinga & Janneke Heijne & Malgorzata Sa, 2008. "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases," PLOS Medicine, Public Library of Science, vol. 5(3), pages 1-1, March.
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    Cited by:

    1. Jiang, Christine & Zhang, Xiaori & Hu, Bill, 2024. "Government reporting credibility as immunity: Evidence from a public health event," Journal of Multinational Financial Management, Elsevier, vol. 73(C).
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    3. Vadim S. Balashov & Yuxing Yan & Xiaodi Zhu, 2020. "Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law," Papers 2007.14841, arXiv.org, revised Jan 2021.

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    Keywords

    Covid-19 pandemic; Fatalities; Macroeconomic drivers; Health infrastructure; Health spending; Covid-19 control strategies; Pollution; Immunity; Austerity policies;
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