IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v71y2021isupplement1p53-71.html
   My bibliography  Save this article

The predictability of COVID-19 mortality rates based on ex-ante economic, health and social indicators

Author

Listed:
  • Emese Kovács

    (Institute of Economics, Corvinus University of Budapest, Budapest, Fővám tér 8., H-1093, Hungary)

  • Péter Mihályi

    (Institute of Economics, Corvinus University of Budapest, Budapest, Fővám tér 8., H-1093, Hungary)

Abstract

The paper analyses the differences of COVID-19 mortality rates (MR) in 24 European countries. We explain MRs on the available, reliable ex-ante economic, health and social indicators pertaining to the year 2019 – i.e., before the outbreak of the pandemic. Using simple regression equations, we received statistically significant results for 11 such variables out of 28 attempts. Our best model with two ex-ante independent variables explains 0.76 of the variability of our ex-post dependent variable, the logarithm of Cumulative COVID Deaths. The estimated coefficient for the variable Density of Nurses shows that having one more nurse per 1,000 of population decreases cumulative COVID deaths by almost 15%. Similarly, one more unit Consumption of Non-Prescribed Medicine decreases cumulative deaths by 5%. It seems that until now those European countries were successful in minimising the fatalities where the population had a high level of health literacy, people pursue healthier lifestyle and the healthcare systems worked with a relatively large nursing force already prior to the COVID pandemic.

Suggested Citation

  • Emese Kovács & Péter Mihályi, 2021. "The predictability of COVID-19 mortality rates based on ex-ante economic, health and social indicators," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 71(supplemen), pages 53-71, November.
  • Handle: RePEc:aka:aoecon:v:71:y:2021:i:supplement1:p:53-71
    DOI: 10.1556/032.2021.00029
    as

    Download full text from publisher

    File URL: https://doi.org/10.1556/032.2021.00029
    Download Restriction: subscription

    File URL: https://libkey.io/10.1556/032.2021.00029?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    COVID-19; pandemic; mortality rate; ex-post and ex-ante variables;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:aka:aoecon:v:71:y:2021:i:supplement1:p:53-71. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kriston, Orsolya (email available below). General contact details of provider: https://akademiai.hu/ .

    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.