Advanced Search
MyIDEAS: Login to save this article or follow this journal

Appearance, Inferences about Credit Quality and Learning

Contents:

Author Info

  • Enrichetta Ravina

    ()
    (Columbia Business School, New York)

Registered author(s):

    Abstract

    Appearance and personal characteristics, such as age, gender, ethnicity and the way a person presents himself have been shown to play a role in many economic exchanges. Various explanations have been proposed for this finding, ranging from "statistical discrimination", where such variables are surrogates for unobservable characteristics related to the quality of the counterparty, to "taste-based discrimination", where one or both parties experience disutility from interacting with people belonging to certain groups. This paper reviews the theoretical and empirical literatures in this area and investigates whether individuals update their beliefs and attitudes toward such characteristics after they learn about outcomes.

    Download Info

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" 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 search for a similarly titled item that would be available.

    Bibliographic Info

    Article provided by SIPI Spa in its journal Rivista di Politica Economica.

    Volume (Year): (2011)
    Issue (Month): 1 (January-March)
    Pages: 61-86

    as in new window
    Handle: RePEc:rpo:ripoec:y:2011:i:1:p:61-86

    Contact details of provider:

    Related research

    Keywords: beauty; race; credit markets;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:rpo:ripoec:y:2011:i:1:p:61-86. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sabrina Marino).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.