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An extension of the Blinder-Oaxaca decomposition technique to logit and probit models

Fairlie, Robert W.·2005·Journal of Economic and Social Measurement

Abstract

The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and gender gaps in outcomes. The technique cannot be used directly, however, if the outcome is binary and the coefficients are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates from a logit or probit model. Expanding on the original application of the technique in Fairlie [3], I provide a more thorough discussion of how to apply the technique, an analysis of the sensitivity of the decomposition estimates to different parameters, and the calculation of standard errors. I also compare the estimates to Blinder-Oaxaca decomposition estimates and discuss an example of when the Blinder-Oaxaca technique may be problematic.

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Metadata

Authors
Fairlie, R. W.
Venue
Journal of Economic and Social Measurement
Published
2005-11
Volume
30
Issue
4
Pages
305-316
ISSN
  • 0747-9662 (ISSN-L)
  • 1875-8932
OpenAlex
W3123547180
Cited by
1,077
References
7
FWCI
57.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An extension of the Blinder-Oaxaca decomposition technique to logit and probit models. https://app.cochat.ai/papers/10.3233/jem-2005-0259
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Fairlie, R. W. (2005). An extension of the Blinder-Oaxaca decomposition technique to logit and probit models. Journal of Economic and Social Measurement. https://doi.org/10.3233/jem-2005-0259

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