IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457101.html
 

REG2HDFE: Stata module to estimate a Linear Regression Model with two High Dimensional Fixed Effects

Author

Listed:
  • Paulo Guimaraes

    (Division of Research, University of South Carolina)

Programming Language

Stata

Abstract

This command implements the algorithm of Guimaraes & Portugal for estimation of a linear regression model with two high dimensional fixed effects. The command is particularly suited for use with large data sets because you can "store" the transformed variables and reuse them in alternative specifications. The command is based on the algorithm presented in Carneiro, Guimaraes and Portugal (2009) and explained in more detail in Guimaraes and Portugal (2009).

Suggested Citation

  • Paulo Guimaraes, 2009. "REG2HDFE: Stata module to estimate a Linear Regression Model with two High Dimensional Fixed Effects," Statistical Software Components S457101, Boston College Department of Economics, revised 28 Mar 2015.
  • Handle: RePEc:boc:bocode:s457101
    Note: This module should be installed from within Stata by typing "ssc install reg2hdfe". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/reg2hdfe.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/r/reg2hdfe.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    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:s457101. 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.