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An extension of the Blinder–Oaxaca decomposition to nonlinear models

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  • Thomas Bauer
  • Mathias Sinning

Abstract

In this paper, a general Blinder-Oaxaca decomposition is derived that can also be applied to non-linear models, which allows the differences in a non-linear outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated coeffcients. Departing from this general model, we show how it can be applied to different models with discrete and limited dependent variables.
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Suggested Citation

  • Thomas Bauer & Mathias Sinning, 2008. "An extension of the Blinder–Oaxaca decomposition to nonlinear models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(2), pages 197-206, May.
  • Handle: RePEc:spr:alstar:v:92:y:2008:i:2:p:197-206
    DOI: 10.1007/s10182-008-0056-3
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    1. Marvin H. Kosters, 1991. "Workers and Their Wages: Changing Patterns in the United States," Books, American Enterprise Institute, number 52907, September.
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    8. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    9. Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2007. "Gender differences in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 895-909, September.
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    12. Thomas Bauer & Mathias Sinning, 2010. "Blinder-Oaxaca decomposition for Tobit models," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1569-1575.
    13. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
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    More about this item

    Keywords

    Blinder–Oaxaca decomposition; Nonlinear regression models; General econometric methods;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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