oaxaca: Blinder-Oaxaca Decomposition in R

19 Pages Posted: 20 Nov 2014

See all articles by Marek Hlavac

Marek Hlavac

Central European Labour Studies Institute (CELSI)

Date Written: November 19, 2014


This article introduces the R package oaxaca to perform the Blinder-Oaxaca decomposition, a statistical method that decomposes the gap in mean outcomes across two groups into a portion that is due to differences in group characteristics and a portion that cannot be explained by such differences. Although this method has been most widely used to study gender- and race-based discrimination in the labor market, Blinder-Oaxaca decompositions can be applied to explain differences in any continuous outcome across any two groups. The oaxaca package implements all the most commonly used variants of the Blinder-Oaxaca decomposition for linear regression models, calculates bootstrapped standard errors for its estimates, and allows users to visualize the decomposition results.

Keywords: Blinder-Oaxaca decomposition, linear regression models, R

JEL Classification: C1, C10, C13, C15, C87, J31, J70, J71, M52

Suggested Citation

Hlavac, Marek, oaxaca: Blinder-Oaxaca Decomposition in R (November 19, 2014). Available at SSRN: https://ssrn.com/abstract=2528391 or http://dx.doi.org/10.2139/ssrn.2528391

Marek Hlavac (Contact Author)

Central European Labour Studies Institute (CELSI) ( email )

Zvolensk√° 29
Bratislava, 82109

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
PlumX Metrics