IDEAS home Printed from https://ideas.repec.org/a/oup/restud/v76y2009i3p1049-1070.html
   My bibliography  Save this article

Optimal Unemployment Insurance and Employment History

Author

Listed:
  • Hugo A. Hopenhayn
  • Juan Pablo Nicolini

Abstract

In existing unemployment insurance programmes, it is standard to condition eligibility on the previous employment record of unemployed workers. The purpose of this article is to study conditions under which the efficient contract exhibits these properties. In order to do so, we characterize the optimal unemployment insurance contract in asymmetric information environments in which workers experience multiple unemployment spells. We show that if quits cannot be distinguished from layoffs, it is optimal to condition the benefits paid to unemployed workers on their employment history, in particular, the coverage should increase with the length of previous employment spells. Copyright , Wiley-Blackwell.

Suggested Citation

  • Hugo A. Hopenhayn & Juan Pablo Nicolini, 2009. "Optimal Unemployment Insurance and Employment History," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1049-1070.
  • Handle: RePEc:oup:restud:v:76:y:2009:i:3:p:1049-1070
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-937X.2009.00555.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:oup:restud:v:76:y:2009:i:3:p:1049-1070. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/restud .

    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.