IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459847.html

XTGFE: Stata module to perform grouped fixed-effects (GFE) estimation for panel data (Bonhomme and Manresa, 2015)

Author

Listed:
  • Ozan Eruygur

    (Ankara Haci Bayram Veli University)

Programming Language

Abstract

xtgfe estimates the grouped fixed-effects model of Bonhomme and Manresa (2015, Econometrica), in which the units of a panel are classified into a finite number of latent groups, each with its own time-varying (or, optionally, time-invariant) fixed effect. Group membership is unobserved and is estimated from the data, jointly with the common coefficients. Both of the authors' computational algorithms are implemented (the iterative Algorithm 1 and the variable neighborhood search Algorithm 2), for balanced and unbalanced panels. Three types of standard errors are available: large-N large-T cluster-sandwich (default), unit-resampling bootstrap with bias correction, and the large-N fixed-T analytic formula based on Pollard (1982). The number of groups can be selected by the BIC criterion of the paper.

Suggested Citation

  • Ozan Eruygur, 2026. "XTGFE: Stata module to perform grouped fixed-effects (GFE) estimation for panel data (Bonhomme and Manresa, 2015)," Statistical Software Components S459847, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s459847
    Note: This module should be installed from within Stata by typing "ssc install xtgfe". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/x/xtgfe.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/x/xtgfe.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    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:boc:bocode:s459847. 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/debocus.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.