IDEAS home Printed from https://ideas.repec.org/a/eee/pubeco/v222y2023ics0047272723000713.html
   My bibliography  Save this article

The impacts of Covid-19 absences on workers

Author

Listed:
  • Goda, Gopi Shah
  • Soltas, Evan J.

Abstract

We show that Covid-19 illnesses and related work absences persistently reduce labor supply. Using an event study, we estimate that workers with week-long Covid-19 absences are 7 percentage points less likely to be in the labor force one year later compared to otherwise-similar workers who do not miss a week of work for health reasons. Our estimates suggest Covid-19 absences have reduced the U.S.labor force by approximately 500,000 people (0.2 percent of adults) and imply an average labor supply loss per Covid-19 absence equivalent to $9,000 in forgone earnings, about 90 percent of which reflects losses beyond the initial absence week.

Suggested Citation

  • Goda, Gopi Shah & Soltas, Evan J., 2023. "The impacts of Covid-19 absences on workers," Journal of Public Economics, Elsevier, vol. 222(C).
  • Handle: RePEc:eee:pubeco:v:222:y:2023:i:c:s0047272723000713
    DOI: 10.1016/j.jpubeco.2023.104889
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047272723000713
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jpubeco.2023.104889?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.

    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:pubeco:v:222:y:2023:i:c:s0047272723000713. 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/505578 .

    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.