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The Blinder–Oaxaca decomposition for linear regression models

  • Ben Jann


    (ETH Zürich)

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The counterfactual decomposition technique popularized by Blinder (1973, Journal of Human Resources, 436–455) and Oaxaca (1973, International Economic Review, 693–709) is widely used to study mean outcome differences between groups. For example, the technique is often used to analyze wage gaps by sex or race. This article summarizes the technique and addresses several complications, such as the identification of effects of categorical predictors in the detailed decomposition or the estimation of standard errors. A new command called oaxaca is introduced, and examples illustrating its usage are given. Copyright 2008 by StataCorp LP.

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Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 8 (2008)
Issue (Month): 4 (December)
Pages: 453-479

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Handle: RePEc:tsj:stataj:v:8:y:2008:i:4:p:453-479
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  1. Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(1), pages 3-10, April.
  2. F. L. Jones, 1983. "On Decomposing the Wage Gap: A Critical Comment on Blinder's Method," Journal of Human Resources, University of Wisconsin Press, vol. 18(1), pages 126-130.
  3. T.D. Stanley & Stephen B. Jarrell, 1998. "Gender Wage Discrimination Bias? A Meta-Regression Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 947-973.
  4. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
  5. Helena Skyt Nielsen, 2000. "Wage discrimination in Zambia: an extension of the Oaxaca-Blinder decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 405-408.
  6. Suits, Daniel B, 1984. "Dummy Variables: Mechanics v. Interpretation," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 177-80, February.
  7. F. L. Jones & Jonathan Kelley, 1984. "Decomposing Differences between Groups," Sociological Methods & Research, SAGE Publishing, vol. 12(3), pages 323-343, February.
  8. Mathia Sinning & Markus Hahn & Thomas K. Bauer, 2008. "The Blinder–Oaxaca decomposition for nonlinear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 480-492, December.
  9. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-79, November.
  10. Doris Weichselbaumer & Rudolf Winter-Ebmer, 2003. "A meta-analysis of the international gender wage gap," Economics working papers 2003-11, Department of Economics, Johannes Kepler University Linz, Austria.
  11. Javier Gardeazabal & Aratza Ugidos, . "More on identification in detailed wage decompositions," Studies on the Spanish Economy 140, FEDEA.
  12. Eric S. Lin, 2007. "On the standard errors of Oaxaca-type decompositions for inter-industry gender wage differentials," Economics Bulletin, AccessEcon, vol. 10(6), pages 1-11.
  13. Keshab Shrestha & Chris Sakellariou, 1996. "Wage discrimination: a statistical test," Applied Economics Letters, Taylor & Francis Journals, vol. 3(10), pages 649-651.
  14. Peter Kennedy & Jutta Heinrichs, 2007. "A computational trick for calculating the Blinder-Oaxaca decomposition and its standard error," Economics Bulletin, AccessEcon, vol. 3(66), pages 1-7.
  15. repec:ebl:ecbull:v:3:y:2007:i:66:p:1-7 is not listed on IDEAS
  16. Kennedy, Peter, 1986. "Interpreting Dummy Variables," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 174-75, February.
  17. Owen O'Donnell & Eddy van Doorslaer & Adam Wagstaff & Magnus Lindelow, 2008. "Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation," World Bank Publications, The World Bank, number 6896.
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