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GDECOMP: Stata module to compute decomposition of outcome differentials after nonlinear models

Author

Listed:
  • Tamas Bartus

    (Budapest University of Economic Sciences and Public Administration)

Programming Language

Stata

Abstract

gdecomp implements a generalized Blinder-Oaxaca decomposition which applies to categorical and count outcomes (and parallel to this, to nonlinear regression models). First, the estimation_command is estimated in the two groups of a groupvar. Then the observed difference in the dependent variable of estimation_command between the groups defined by groupvar is decomposed into three parts: (1) a part due to differences in endowments (labeled by E), (2) a part due to differences in marginal effects and finally (3) a part due to difference in baseline predictions or constants (labeled by U). The margeff package (also available from SSC) is required.

Suggested Citation

  • Tamas Bartus, 2004. "GDECOMP: Stata module to compute decomposition of outcome differentials after nonlinear models," Statistical Software Components S456763, Boston College Department of Economics, revised 20 Sep 2006.
    • Handle: RePEc:boc:bocode:s456763
    Note: This module should be installed from within Stata by typing "ssc install gdecomp". 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

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    File URL: http://fmwww.bc.edu/repec/bocode/g/gdecomp.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/g/gdecomp.hlp
    File Function: help file
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