Advanced Search
MyIDEAS: Login to save this paper or follow this series

The Information theoretic foundations of a probabilistic and predictive micro and macro economics

Contents:

Author Info

  • Judge, George G.

    ()
    (University of California, Berkeley. Dept of agricultural and resource economics)

Registered author(s):

    Abstract

    Despite the productive efforts of economists, the disequilibrium nature of the economic system and imprecise predictions persist. One reason for this outcome is that traditional econometric models and estimation and inference methods cannot provide the necessary quantitative information for the causal influence-dynamic micro and macro questions we need to ask given the noisy indirect effects data we use. To move economics in the direction of a probabilistic and causal based predictive science, in this paper information theoretic estimation and inference methods are suggested as a basis for understanding and making predictions about dynamic micro and macro economic processes and systems.

    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://escholarship.org/uc/item/5d98g7wg
    Download Restriction: no

    Bibliographic Info

    Paper provided by University of California at Berkeley, Department of Agricultural and Resource Economics and Policy in its series CUDARE Working Paper Series with number 1123.

    as in new window
    Length: 22 pages
    Date of creation: Apr 2012
    Date of revision:
    Handle: RePEc:are:cudare:1123

    Contact details of provider:
    Postal: 207 Giannini Hall #3310, Berkeley, CA 94720-3310
    Phone: (510) 642-3345
    Fax: (510) 643-8911
    Web page: http://areweb.berkeley.edu/library/Main/CUDARE
    More information through EDIRC

    Order Information:
    Postal: University of California, Giannini Foundation of Agricultural Economics Library, 248 Giannini Hall #3310, Berkeley CA 94720-3310
    Email:

    Related research

    Keywords: information theoretic methods; state space models; first order Markov processes; inverse problems; dynamic economic systems.;

    Find related papers by JEL classification:

    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:are:cudare:1123. 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: (Jeff Cole).

    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.