IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-02620834.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-02620834/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Porcher, 2020. "A novel dataset of governments' responses to COVID-19 all around the world," Working Papers halshs-02865150, HAL.
    2. Kuhn, Moritz & Bayer, Christian, 2020. "Intergenerational ties and case fatality rates: A cross-country analysis," CEPR Discussion Papers 14519, C.E.P.R. Discussion Papers.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    5. Cavalcanti, Tiago & Ajzenman, Nicolas & da Mata, Daniel, 2020. "More than Words: Leaders’ Speech and Risky Behavior During a Pandemic," CEPR Discussion Papers 14707, C.E.P.R. Discussion Papers.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Zhu, Pengfei & Tang, Yong & Wei, Yu & Lu, Tuantuan, 2021. "Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic," Energy, Elsevier, vol. 231(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Glover, Andrew & Heathcote, Jonathan & Krueger, Dirk & Ríos-Rull, José-Víctor, 2023. "Health versus wealth: On the distributional effects of controlling a pandemic," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 34-59.
    2. Giagheddu, Marta & Papetti, Andrea, 2023. "The macroeconomics of age-varying epidemics," European Economic Review, Elsevier, vol. 151(C).
    3. Santos, Cezar & Brotherhood, Luiz & Kircher, Philipp & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    4. Cristini, Annalisa & Trivin, Pedro, 2022. "Close encounters during a pandemic: Social habits and inter-generational links in the first two waves of COVID-19," Economics & Human Biology, Elsevier, vol. 47(C).
    5. Fernando Cirelli & Mark Gertler, 2022. "Economic Winners Versus Losers and the Unequal Pandemic Recession," NBER Working Papers 29713, National Bureau of Economic Research, Inc.
    6. Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey, 2020. "This Time It's Different: The Role of Women's Employment in a Pandemic Recession," Working Papers 2020-057, Human Capital and Economic Opportunity Working Group.
    7. Glover, Andrew & Heathcote, Jonathan & Krueger, Dirk, 2022. "Optimal age-Based vaccination and economic mitigation policies for the second phase of the covid-19 pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    8. Cristini, Annalisa & Trivin, Pedro, 2020. "Close encounters on the verge of a pandemic: the role of social contacts on the spread and mortality of COVID-19," MPRA Paper 103075, University Library of Munich, Germany.
    9. Cristina Arellano & Yan Bai & Gabriel P. Mihalache, 2020. "Deadly Debt Crises: COVID-19 in Emerging Markets," NBER Working Papers 27275, National Bureau of Economic Research, Inc.
    10. Tertilt, Michèle & Doepke, Matthias & Olmstead-Rumsey, Jane, 2020. "This Time It’s Different: The Role of Women’s Employment in a Pandemic Recession," CEPR Discussion Papers 15149, C.E.P.R. Discussion Papers.
    11. Ryohei Mogi & Jeroen Spijker, 2022. "The influence of social and economic ties to the spread of COVID-19 in Europe," Journal of Population Research, Springer, vol. 39(4), pages 495-511, December.
    12. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    13. Mukoyama, Toshihiko, 2021. "MIT shocks imply market incompleteness," Economics Letters, Elsevier, vol. 198(C).
    14. Fors, Gunnar & Zejan, Mario, 1996. "Overseas R&D by Multinationals in foreign Centers of Excellence," SSE/EFI Working Paper Series in Economics and Finance 111, Stockholm School of Economics.
    15. Evens Salies & Catherine Waddams, 2003. "Pricing structure in the deregulated UK electricity market," SciencePo Working papers Main hal-03592457, HAL.
    16. MacKinnon, J G, 1989. "Heteroskedasticity-Robust Tests for Structural Change," Empirical Economics, Springer, vol. 14(2), pages 77-92.
    17. Fenech, Jean-Pierre & Skully, Michael & Xuguang, Han, 2014. "Franking credits and market reactions: Evidence from the Australian convertible security market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 1-19.
    18. Bliss, Mark A. & Gul, Ferdinand A., 2012. "Political connection and leverage: Some Malaysian evidence," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2344-2350.
    19. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    20. Son K. Lam & Thomas E. DeCarlo & Ashish Sharma, 2019. "Salesperson ambidexterity in customer engagement: do customer base characteristics matter?," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 659-680, July.

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:halshs-02620834. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.