Marginal effects and extending the Blinder–Oaxaca decomposition for nonlinear models
AbstractStudents of racial and gender inequalities are often interested in knowing to what extent an observed group difference can be attributed to differences in returns to productive abilities (discrimination effect) or to differences in the average of productive abilities (endowment effect). The standard Blinder–Oaxaca decomposition technique, which applies to continuous outcomes, measures the discrimination (endowment) effect in terms of differences in group-specific regression parameters (means), weighted by group-specific means (regression parameters). This article shows that the standard decomposition technique can be meaningfully extended to categorical outcomes if the regression coefficients are substituted with marginal effects. A user-written program, gdecomp (working title), is also presented, which basically processes marginal effects obtained from another user-written program, margeff. It is available from the SSC Archive.
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Bibliographic InfoPaper provided by Stata Users Group in its series United Kingdom Stata Users' Group Meetings 2006 with number 05.
Date of creation: 18 Sep 2006
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-12-09 (All new papers)
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- Yun, Myeong-Su, 2003.
"Decomposing Differences in the First Moment,"
IZA Discussion Papers
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