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An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Robert W. Fairlie
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 (1999), 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.
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Paper provided by Economic Growth Center, Yale University in its series Working Papers with number
873.
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Length: 15 pages
Date of creation: Nov 2003Date of revision:
Handle: RePEc:egc:wpaper:873Contact details of provider: Postal: PO Box 8269, New Haven CT 06520-8269 Phone: (203) 432-3610 Fax: (203) 432-3898 Web page: http://www.econ.yale.edu/ More information through EDIRC
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Keywords: Logit ; Probit ; Decomposition ; Race ; Gender ; Discrimination ; Other versions of this item:
Find related papers by JEL classification: C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs J7 - Labor and Demographic Economics - - Labor Discrimination
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Other versions: Oaxaca, Ronald L. & Ransom, Michael R., 1994.
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