The Blinder-Oaxaca decomposition for linear regression models

Jann, Ben (2008). The Blinder-Oaxaca decomposition for linear regression models. Stata journal, 8(4), pp. 453-479. Stata Press

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology

UniBE Contributor:

Jann, Ben

Subjects:

300 Social sciences, sociology & anthropology

ISSN:

1536-867X

Publisher:

Stata Press

Language:

English

Submitter:

Ben Jann

Date Deposited:

19 Apr 2016 16:15

Last Modified:

19 Apr 2016 16:15

Uncontrolled Keywords:

st0151, oaxaca, Blinder–Oaxaca decomposition, outcome differential, wage gap

BORIS DOI:

10.7892/boris.67672

URI:

https://boris.unibe.ch/id/eprint/67672

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