IDEAS home Printed from https://ideas.repec.org/p/sce/scecf0/82.html

An Evolutionary Model Of Debt

Author

Listed:
  • Kislaya Prasad

    (Florida State University)

  • Mary Burke

    (Florida State University)

Abstract

A reputational model of debt is examined from an evolutionary game perspective. The game is played between randomly matched opponents and we ask whether debt can be supported in the long run steady state when lenders are given the option of joining an information sharing coalition. The players are forward-looking, but otherwise not very sophisticated. The paper uses a mix of analytical and computational methods and we actually simulate such an economy and examine long run steady states. Conclusions are drawn about the nature of institutions that support debt.

Suggested Citation

  • Kislaya Prasad & Mary Burke, 2000. "An Evolutionary Model Of Debt," Computing in Economics and Finance 2000 82, Society for Computational Economics.
  • Handle: RePEc:sce:scecf0:82
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Mohammed Aliu Momoh & Maurice Aghedo, 2018. "Public Private Partnership, Infrastructure Guarantee and Sovereign Debt Default," Romanian Economic Business Review, Romanian-American University, vol. 13(1), pages 25-34, March.
    3. Thierry Vignolo, 2010. "Imitation and selective matching in reputational games," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 395-412, June.

    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:sce:scecf0:82. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .

    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.