Advanced Search
MyIDEAS: Login

Hierarchies of conditional beliefs derived from commonly known priors

Contents:

Author Info

  • Tsakas Elias

    (METEOR)

Registered author(s):

    Abstract

    In this paper, we consider a finite set of agents with commonly known full-support priors on the fundamental space of uncertainty. Then, we show that if the hierarchies of conditional beliefs á la Battigalli and Siniscalchi (1999) are derived from these priors, then all types of the same agent yield the same hierarchy. We also show that the previous result does not necessarily hold when the priors are not full-support. Moreover, if the collections of conditioning events does not cover the underlying space of uncertainty, there are always commonly known (non-full-support) priors such that every agent''s conditional belief hierarchies are derived from these priors.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://edocs.ub.unimaas.nl/loader/file.asp?id=1594
    Download Restriction: no

    Bibliographic Info

    Paper provided by Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization in its series Research Memoranda with number 021.

    as in new window
    Length:
    Date of creation: 2011
    Date of revision:
    Handle: RePEc:dgr:umamet:2011021

    Contact details of provider:
    Web page: http://www.maastrichtuniversity.nl/web/UMPublications.htm

    Related research

    Keywords: mathematical economics;

    This paper has been announced in the following NEP Reports:

    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:dgr:umamet:2011021

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

    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.