The Blinder–Oaxaca decomposition for nonlinear regression models
Mathias Sinning
RSSS at the Australian National University, and IZA
Canberra, Australia
[email protected]
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Markus Hahn
Melbourne Institute of Applied Economic and Social Research
The University of Melbourne
Melbourne, Australia
[email protected]
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Thomas K. Bauer
RWI Essen, Ruhr-Universität Bochum, and IZA
Bochum, Germany
[email protected]
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Abstract. In this article, a general Blinder–Oaxaca decomposition for
nonlinear 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.
View all articles by these authors:
Mathias Sinning, Markus Hahn, Thomas K. Bauer
View all articles with these keywords:
nldecompose, Blinder–Oaxaca decomposition, nonlinear models
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