The Kitagawa–Blinder–Oaxaca decomposition is a statistical method that explains the difference in the means of a dependent variable between two groups by decomposing the gap into that part that is due to differences in the mean values of the independent variable within the groups, on the one hand, and group differences in the effects of the independent variable, on the other hand.
Questions tagged [blinder-oaxaca]
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Blinder-Oaxaca decomposition, logistic regression and unbalanced dataset: fitted probabilities numerically 0 or 1 occurred
I have a binary y outcome, a dummy variable gender for gender, and a set of covariates x (including some factor variables converted into dummies, excluding one dummy in each of the factor variables) and a set of control dummies cdummies (they come…
robertspierre
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Blinder-Oaxaca decomposition and Gardeazabal and Ugidos (2004) correction in the presence of more than one categorical variable
I am reading the vignette for the oaxaca R package.
At paragraph 2.3 there is written that:
The results of Blinder-Oaxaca decompositions have been found to be sensitive to the researcher’s choice of the omitted baseline category when categorical…
robertspierre
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