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
1 vote
0 answers
8 views

Restricted Mean Survival Time Oaxaca Decomposition

Are there methods that estimate restricted mean survival time with Oaxaca Decomposition or something similar to Oaxaca Decomposition?
0 votes
0 answers
32 views

Blinder-Oaxaca Decomposition: Components not adding up

As part of an analysis I am conducting that aims to understand the determinants of female labor participation, I ran a Blinder Oaxaca Decomposition for a specific region in my countrywide data set, so ...
1 vote
1 answer
218 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
41 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 ...
2 votes
1 answer
196 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 ...
3 votes
0 answers
399 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 (...