IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-02920258.html
   My bibliography  Save this paper

COVID-19 mortality and health expenditures across European countries: the positive correlation puzzle

Author

Listed:
  • Serge Blondel

    (GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut National de l'Horticulture et du Paysage, LIRAES - EA 4470 - Laboratoire Interdisciplinaire de Recherche Appliquée en Economie de la Santé - UPD5 - Université Paris Descartes - Paris 5)

  • Radu Vranceanu

    (ESSEC Business School and THEMA (UMR 8184) - ESSEC Business School - THEMA - Théorie économique, modélisation et applications - CNRS - Centre National de la Recherche Scientifique - CY - CY Cergy Paris Université)

Abstract

The positive correlation between health share expenditures and COVID-19 case fatalities in a cross-section of 31 European countries is puzzling. The positive relationships is also detected in weighted OLS and IV models that control for many usual suspects of the COVID-19 mortality: (1) health indicators (personal risk factors, medical resources), (2) virus ease of circulation, (3) macroeconomic variables related to the economic development and social orientation of the country. COVID-19 case fatalities are lower in countries with significant resources dedicated to health care (hospital beds and medical doctors); the contribution of virus circulation factors is less significant. Policy implications follow.

Suggested Citation

  • Serge Blondel & Radu Vranceanu, 2020. "COVID-19 mortality and health expenditures across European countries: the positive correlation puzzle," Working Papers hal-02920258, HAL.
    • Handle: RePEc:hal:wpaper:hal-02920258
    Note: View the original document on HAL open archive server: https://essec.hal.science/hal-02920258v2
    as

    Download full text from publisher

    File URL: https://essec.hal.science/hal-02920258v2/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Elizabeth Gibney, 2020. "Whose coronavirus strategy worked best? Scientists hunt most effective policies," Nature, Nature, vol. 581(7806), pages 15-16, May.
    2. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    3. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    4. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    5. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    6. Semyonov, Moshe & Lewin-Epstein, Noah & Maskileyson, Dina, 2013. "Where wealth matters more for health: The wealth–health gradient in 16 countries," Social Science & Medicine, Elsevier, vol. 81(C), pages 10-17.
    Full references (including those not matched with items on IDEAS)

    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. Colombier, Carsten & Weber, Werner, 2009. "Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis," MPRA Paper 26747, University Library of Munich, Germany, revised Nov 2009.
    2. Badi H. Baltagi & Raffaele Lagravinese & Francesco Moscone & Elisa Tosetti, 2017. "Health Care Expenditure and Income: A Global Perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 863-874, July.
    3. Fan, Victoria Y. & Savedoff, William D., 2014. "The health financing transition: A conceptual framework and empirical evidence," Social Science & Medicine, Elsevier, vol. 105(C), pages 112-121.
    4. Muhammad Arshad Khan & Muhammad Iftikhar Ul Husnain, 2019. "Is health care a luxury or necessity good? Evidence from Asian countries," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 213-233, June.
    5. Sherry A. Glied, 2008. "Mandates and the Affordability of Health Care," NBER Working Papers 14545, National Bureau of Economic Research, Inc.
    6. Victoria Fan and William Savedoff, 2014. "The Health Financing Transition: A Conceptual Framework and Empirical Evidence - Working Paper 358," Working Papers 358, Center for Global Development.
    7. Juergen Jung & Chung Tran, 2016. "Market Inefficiency, Insurance Mandate and Welfare: U.S. Health Care Reform 2010," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 132-159, April.
    8. Joan Costa‐Font & Marin Gemmill & Gloria Rubert, 2011. "Biases in the healthcare luxury good hypothesis?: a meta‐regression analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 95-107, January.
    9. Borger, Christine & Rutherford, Thomas F. & Won, Gregory Y., 2008. "Projecting long term medical spending growth," Journal of Health Economics, Elsevier, vol. 27(1), pages 69-88, January.
    10. Hubert P. Janicki, 2011. "Distributional Effects of Public Health Insurance Reform," 2011 Meeting Papers 423, Society for Economic Dynamics.
    11. Jung, Juergen & Tran, Chung & Chambers, Matthew, 2017. "Aging and health financing in the U.S.: A general equilibrium analysis," European Economic Review, Elsevier, vol. 100(C), pages 428-462.
    12. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.
    13. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    14. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    15. Marla Ripoll & Juan Carlos Cordoba, 2011. "A Contribution to the Economic Theory of Fertility," 2011 Meeting Papers 1207, Society for Economic Dynamics.
    16. Colombier, Carsten, 2012. "Drivers of health care expenditure: Does Baumol's cost disease loom large?," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 12-5, University of Cologne, FiFo Institute for Public Economics.
    17. Juan Carlos Córdoba & Marla Ripoll, 2016. "Intergenerational Transfers and the Fertility–Income Relationship," Economic Journal, Royal Economic Society, vol. 126(593), pages 949-977, June.
    18. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    19. Colombier, Carsten, 2012. "Healthcare expenditure projections up to 2060," MPRA Paper 104919, University Library of Munich, Germany.
    20. Felder, Stefan & Werblow, Andreas & Zweifel, Peter, 2010. "Do red herrings swim in circles? Controlling for the endogeneity of time to death," Journal of Health Economics, Elsevier, vol. 29(2), pages 205-212, March.

    More about this item

    Keywords

    COVID-19; health care systems; Europe; efficiency; mortality; health policy;
    All these keywords.

    JEL classification:

    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:hal-02920258. 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.