IDEAS home Printed from https://ideas.repec.org/a/eei/journl/v63y2020i2p42-65.html
   My bibliography  Save this article

The impact of COVID-19 on the life expectancy and mortality rates

Author

Listed:
  • Andrew Nelson

Abstract

We adopt time series analytical mechanisms to study the impact of COVID-19 on the life expectancy and mortality rates. We fit vector-auto-regressions for the overall UK population and for groups identified based on gender and race. We use our results to assess the long-run effects of the COVID-19 economic recession on mortality and life expectancy. Our estimates suggest the size of the COVID-19-related unemployment shock to be between 2.4 and 5.7 times larger than a typical unemployment shock, depending on race and gender, resulting in a significant increase in mortality rates and drop in the life expectancy.

Suggested Citation

  • Andrew Nelson, 2020. "The impact of COVID-19 on the life expectancy and mortality rates," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 63(2), pages 42-65.
    • Handle: RePEc:eei:journl:v:63:y:2020:i:2:p:42-65
    as

    Download full text from publisher

    File URL: https://ideas.repec.org/a/eei/journl/v63y2020i2p42-65.html
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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; economic recession; VAR; mortality; life expectancy;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    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:eei:journl:v:63:y:2020:i:2:p:42-65. 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: Julia van Hove (email available below). General contact details of provider: https://edirc.repec.org/data/eeriibe.html .

    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.