mvdcmp: Multivariate decomposition for nonlinear response models

被引：241
作者：
Powers, Daniel A. [1 ]
Yoshioka, Hirotoshi [1 ]
Yun, Myeong-Su [2 ]
机构：
[1] Univ Texas Austin, Dept Sociol, Populat Res Ctr, Austin, TX 78712 USA
[2] Tulane Univ, Dept Econ, New Orleans, LA 70118 USA
来源：
STATA JOURNAL | 2011年 / 11卷 / 04期
关键词：
st0241; mvdcmp; multivariate decomposition; Oaxaca-Blinder decomposition; DETAILED WAGE DECOMPOSITIONS; BLINDER-OAXACA DECOMPOSITION; REGRESSION MODELS; DISCRIMINATION; IDENTIFICATION; MORTALITY; UNIONISM; BEHAVIOR; GAP;
D O I：
10.1177/1536867X1101100404
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
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.
引用
收藏
页码：556 / 576
页数：21
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