The Blinder-Oaxaca Decomposition for Nonlinear Regression Models

Mathias Sinning, Markus Hahn, T Bauer

    Research output: Contribution to journalArticle


    In this article, a general Blinder-Oaxaca decomposition for non-linear models is derived, which allows the difference in an outcome variable between two groups to be decomposed into several components. We show how, using nldecompose, this general decomposition can be applied to different models with discrete and limited dependent variables. We further demonstrate how the standard errors of the estimated components can be calculated by using Stata's bootstrap command as a prefix.
    Original languageEnglish
    Pages (from-to)480-492
    JournalThe Stata Journal
    Issue number4
    Publication statusPublished - 2008


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