IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v106y2024i4p895-909.html
   My bibliography  Save this article

Optimal Vaccine Subsidies for Epidemic Diseases

Author

Listed:
  • Matthew Goodkin-Gold

    (Harvard University)

  • Michael Kremer

    (University of Chicago and NBER)

  • Christopher M. Snyder

    (Dartmouth College and NBER)

  • Heidi Williams

    (Dartmouth College and NBER)

Abstract

We analyze optimal vaccine subsidies in a model integrating disease epidemiology into a market with rational economic agents. The focus is on an intensive vaccine campaign to quell an epidemic in the short run. Across a range of market structures, positive vaccine externalities and optimal subsidies peak for diseases that spread quickly, but not so quickly that everyone is driven to be vaccinated. We assess the practical relevance of this peak—as well as the existence of increasing social returns to vaccination and optimality of universal vaccination—in calibrations to the COVID-19 pandemic.

Suggested Citation

  • Matthew Goodkin-Gold & Michael Kremer & Christopher M. Snyder & Heidi Williams, 2024. "Optimal Vaccine Subsidies for Epidemic Diseases," The Review of Economics and Statistics, MIT Press, vol. 106(4), pages 895-909, July.
  • Handle: RePEc:tpr:restat:v:106:y:2024:i:4:p:895-909
    DOI: 10.1162/rest_a_01202
    as

    Download full text from publisher

    File URL: https://doi.org/10.1162/rest_a_01202
    Download Restriction: no

    File URL: https://libkey.io/10.1162/rest_a_01202?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
    ---><---

    More about this item

    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:tpr:restat:v:106:y:2024:i:4:p:895-909. 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: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.