IDEAS home Printed from https://ideas.repec.org/a/eee/jpolmo/v45y2023i2p377-387.html
   My bibliography  Save this article

The human life vs economic loss dilemma: Relation between death rate and the output rate in Europe during the Covid 19 pandemic

Author

Listed:
  • Bollino, Carlo Andrea

Abstract

I analyze the human life-economic loss dilemma (HELD) trade-off between saving lives ad saving economic activities during the emergency period of Covid 19 pandemic. A new concept labeled HELD Curve, not addressed in the literature so far, is proposed to model the inverse non-linear relation between loss of economic activity and death rates during the Covid 19 Pandemic in Europe, due to the lockdown policy. Econometric estimation supports this view offering to policymakers a tool to assess the impact of continuing the lockdown. The HELD curve elasticity implies a trade-off of 218 thousand EURO per saved human life.

Suggested Citation

  • Bollino, Carlo Andrea, 2023. "The human life vs economic loss dilemma: Relation between death rate and the output rate in Europe during the Covid 19 pandemic," Journal of Policy Modeling, Elsevier, vol. 45(2), pages 377-387.
  • Handle: RePEc:eee:jpolmo:v:45:y:2023:i:2:p:377-387
    DOI: 10.1016/j.jpolmod.2023.04.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0161893823000327
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jpolmod.2023.04.003?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

    Human life-economic loss dilemma HELD; Covid-19 pandemic; Economic loss; Human death; Trade-off; EU lockdown;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:eee:jpolmo:v:45:y:2023:i:2:p:377-387. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505735 .

    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.