IDEAS home Printed from https://ideas.repec.org/a/oup/restud/v55y1988i1p177-181..html
   My bibliography  Save this article

Repeated Insurance Contracts with Differential Learning

Author

Listed:
  • David A. Malueg

Abstract

In a repeated insurance model with differential learning and moral hazard, it is shown that the full-information competitive outcome is implementable when insurers employ a "good-faith" strategy.

Suggested Citation

  • David A. Malueg, 1988. "Repeated Insurance Contracts with Differential Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 177-181.
    • Handle: RePEc:oup:restud:v:55:y:1988:i:1:p:177-181.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.2307/2297537
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dionne, G. & Doherty, N., 1991. "Adverse Selection In Insurance Markets: A Selective Survey," Cahiers de recherche 9105, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Steele, Jennifer L., 2010. "The optimal sequencing of carrots," Journal of Development Economics, Elsevier, vol. 93(1), pages 1-6, September.
    3. Nilssen, Tore, 2000. "Consumer lock-in with asymmetric information," International Journal of Industrial Organization, Elsevier, vol. 18(4), pages 641-666, May.

    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:55:y:1988:i:1:p:177-181.. 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.