An Extension of the Blinder-Oaxaca Decomposition to Non-Linear Models

Thomas K. Baurer, Mathias Sinning

    Research output: Contribution to journalArticle

    Abstract

    This paper develops a general Blinder-axaca decomposition that allows the differences in an outcome variable between two groups to be decomposed into (i) a part that is explained by differences in observed characteristics and (ii) a part attributable to differences in the estimated coefficients also for nonlinear regression models. Based on this general model, we show how it can be applied to different models with discrete and limited dependent variables.
    Original languageEnglish
    Pages (from-to)197-206
    JournalAdvances in Statistical Analysis
    Volume92
    Issue number2
    DOIs
    Publication statusPublished - 2008

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