IDEAS home Printed from https://ideas.repec.org/p/clt/sswopa/988.html
   My bibliography  Save this paper

Unknown Heterogeneity, the EC-EM Algorithm, and the Large T Approximation

Author

Listed:
  • El-Gamal, Mahmoud
  • Grether, David

Abstract

We study a panel structure with n subjects/entities being observed over T periods. We consider a class of models for each subject's data generating precess, and allow the unknown heterogeneity. In other words, we do not know many types we have, what the types are, and which subjects belong to each type. We propose a large T approximation to the posterior mode on the unknows through the Estimation/Classification (EC) algorithm of El-Gamal and Grether (1995) which is linear in n,T, and the unknown number of types.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • El-Gamal, Mahmoud & Grether, David, 1996. "Unknown Heterogeneity, the EC-EM Algorithm, and the Large T Approximation," Working Papers 988, California Institute of Technology, Division of the Humanities and Social Sciences.
    • Handle: RePEc:clt:sswopa:988
    as

    Download full text from publisher

    File URL: http://www.hss.caltech.edu/SSPapers/wp-old.pdf
    Download Restriction: no
    ---><---

    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. Greene, W., 2001. "Fixed and Random Effects in Nonlinear Models," New York University, Leonard N. Stern School Finance Department Working Paper Seires 01-01, New York University, Leonard N. Stern School of Business-.
    2. Isaac C. Rischall, "undated". "The Effect of Migration on Earnings and Welfare Benefit Receipt," Canadian International Labour Network Working Papers 28, McMaster University.
    3. El-Gamal, M.A., 1997. "A Monte Carlo Study of Ec-Estimation in Panel Data Models with Limited Dependent Variables and Heterogeneity," Working papers 9703, Wisconsin Madison - Social Systems.

    More about this item

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:clt:sswopa:988. 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: Victoria Mason (email available below). General contact details of provider: http://www.hss.caltech.edu/ss .

    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.