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oaxaca: Blinder-Oaxaca Decomposition in R

Marek Hlavac, Harvard University - Harvard Kennedy School (HKS)


POLITICAL METHODS: COMPUTATIONAL eJOURNAL

"oaxaca: Blinder-Oaxaca Decomposition in R" Free Download

MAREK HLAVAC, Harvard University - Harvard Kennedy School (HKS)
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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.

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