Decomposing Differences in the First Moment
By Myeong-Su Yun. Social Science Research Network, 2003
556 citations recorded by the source corpus.
We propose a simple methodology for decomposing differences in the first moment into characteristics and coefficients effects. This methodology provides a way to apply the Blinder-Oaxaca decomposition to a non-linear function for both aggregate and detailed decompositions.
Subfields: Applied Mathematics, Computational Theory and Mathematics, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/4e8551c32de0a172f84eaa42f6b0cc18b2fdc856
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In Applied Mathematics
In Computational Theory and Mathematics
In Economics and Econometrics
Citations in the corpus
- Measuring Racial/Ethnic Disparities in Health Care: Methods and Practical Issues (2012, unknown): “These methods have been widely used in linear regression models (Blinder 1973; Oaxaca 1973), and numerous applications have grappled with the difficulties inherent in applying decomposition methods in nonlinear models (Yun 2004; Fournier 2005; Fairlie 2005).”
- A multidisciplinary survey on discrimination analysis (2013, methodology): “We start by considering labor economic models of discrimination and their empirical validation.”
- Poverty In Rural India: Caste And Tribe (2008, methodology): “See Yun (2004) for details.”
- The Blinder–Oaxaca Decomposition for Nonlinear Regression Models (2008, methodology): “Several studies have developed and applied Blinder–Oaxaca decompositions for models with binary dependent variables (Gomulka and Stern 1990; Even and Macpherson 1990; Yun 2004; Fairlie 1999, 2005).”
- 7. Multivariate Decomposition for Hazard Rate Models (2009, methodology): “This problem is referred to as “path dependence” (e.g., see Yun 2004).”
- Hypothesis tests when decomposing differences in the first moment (2005, unknown): “2In order to obtain a proper weight, Yun [10] uses the following approximations; first, an approximation of the value of the average of the function, F (Xβ), with that of the function evaluated at the average value of exogenous variables, F (Xβ); second, a first order Taylor expansion to linearize t”
- Identification problem and detailed Oaxaca decomposition: A general solution and inference (2008, unknown): “Among several attempts to derive a detailed decomposition equation, we adopt the detailed decomposition by Yun [11],”