Questions tagged [blinder-oaxaca]

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.

Filter by
Sorted by
Tagged with
0 votes
1 answer
82 views

What does it mean that the decomposition is based on the linear systematic component? And how can I interpret my result?

I'm using the oaxaca package to implement a Blinder-Oaxaca decomposition on a logistic model with binary outcome. The vignette says that: Note that, if a non-linear function such as glm() is chosen, ...
0 votes
0 answers
17 views

Oaxaca-Blinder nondiscriminatory coefficient (B*) calculation method: which is the most accurate?

One option when decomposing the wage gap between two groups with the Oxaca-Blinder method is to "split" the "unexplained" portion into discrimination in favor of group 1 and ...
3 votes
0 answers
171 views

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 (...
1 vote
1 answer
76 views

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 ...