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The Stata Journal
Volume 11 Number 4: pp. 556-576



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mvdcmp: Multivariate decomposition for nonlinear response models

Daniel A. Powers
Department of Sociology
Population Research Center
University of Texas at Austin
Austin, TX
dpowers@austin.utexas.edu
Hirotoshi Yoshioka
Department of Sociology
Population Research Center
University of Texas at Austin
Austin, TX
hiro12@prc.utexas.edu
Myeong-Su Yun
Department of Economics
Tulane University
New Orleans, LA
msyun@tulane.edu
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.
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View all articles with these keywords: mvdcmp, multivariate decomposition, Oaxaca–Blinder decomposition

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