mvdcmp: Multivariate decomposition for nonlinear response models
Daniel A. Powers
Department of Sociology
Population Research Center
University of Texas at Austin
Austin, TX
[email protected]
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Hirotoshi Yoshioka
Department of Sociology
Population Research Center
University of Texas at Austin
Austin, TX
[email protected]
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Myeong-Su Yun
Department of Economics
Tulane University
New Orleans, LA
[email protected]
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Abstract. We developed a general-purpose multivariate decomposition command
for nonlinear response models that incorporates several recent contributions to
overcome various problems dealing with path dependence and identification. This
work extends existing Stata packages in important ways by including additional
models and allowing for weights and model offsets.
View all articles by these authors:
Daniel A. Powers, Hirotoshi Yoshioka, Myeong-Su Yun
View all articles with these keywords:
mvdcmp, multivariate decomposition, Oaxaca–Blinder decomposition
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