Hi,
I am thinking whether the Blinder-Oaxaca decomposition can be run to explore gender/ethnicity differences other than income/wage variables.
Also, saw there are a few commands available (oaxaca, decompose, decomp,...). Does anyone know the main differences between them?
I want to explore what explain the differences in hours of work by gender. The gender variables is a dummy variable = 1 if female and =0 otherwise (male).
So far, I have run the following code
oaxaca hours age age2 native white married region numchildren child_younger5 child_0509 child_1015 yrd*, by(gender)
The problem I am facing is that I find a gap in hours of, say, 15 hours less for females. However, with these covariates I can only explain 1 hours of those 15 fewer hours. Hence, the unexplained reaches the difference (see pic).
I am thinking whether the Blinder-Oaxaca decomposition can be run to explore gender/ethnicity differences other than income/wage variables.
Also, saw there are a few commands available (oaxaca, decompose, decomp,...). Does anyone know the main differences between them?
I want to explore what explain the differences in hours of work by gender. The gender variables is a dummy variable = 1 if female and =0 otherwise (male).
So far, I have run the following code
oaxaca hours age age2 native white married region numchildren child_younger5 child_0509 child_1015 yrd*, by(gender)
The problem I am facing is that I find a gap in hours of, say, 15 hours less for females. However, with these covariates I can only explain 1 hours of those 15 fewer hours. Hence, the unexplained reaches the difference (see pic).
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