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The easiest way to estimate the Oaxaca-Blinder decomposition

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  • Liliane Bonnal
  • Rachid Boumahdi
  • Pascal Favard

Abstract

This article studies the relation between the Oaxaca-Blinder decomposition and the estimated coefficient of a dummy variable for a linear regression. We calculate the unexplained part of the decomposition from the estimated coefficient of the dummy variable. More precisely, if the exogenous variables are uncorrelated to the dummy variable, the estimated coefficient and its variance give directly the value and the variance of the unexplained part of the decomposition. If the independent variables are correlated a simple relation is obtained. Moreover, we show that the significance of the unexplained part can be deduced from the significance of the estimated coefficient of the dummy variable.

Suggested Citation

  • Liliane Bonnal & Rachid Boumahdi & Pascal Favard, 2013. "The easiest way to estimate the Oaxaca-Blinder decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 20(1), pages 96-101, January.
    • Handle: RePEc:taf:apeclt:v:20:y:2013:i:1:p:96-101
    DOI: 10.1080/13504851.2012.681021
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    References listed on IDEAS

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    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    3. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    4. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
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    Cited by:

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    2. Abdulla, Kanat & Serikbayeva, Balzhan, 2024. "Gender gaps in labor market outcomes in a resource-dependent country," Resources Policy, Elsevier, vol. 90(C).

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