But do I have to look at margins, dydx? I understand that interpretation of sign can now be tricky. But can't I just look for my categorical independent variables at
and for continuous variable wage_of_hour I could use
.
Because this looks fine for me, I don't need more analysis. Just a simple comparison of the workers. Because here I can say female occupation has the highest average probability for level of employment:
Sorry again for disturbing,
Code:
margins X, atmeans predict (outcome(#))
Code:
margins, dydx ...
Because this looks fine for me, I don't need more analysis. Just a simple comparison of the workers. Because here I can say female occupation has the highest average probability for level of employment:
2. according to margins:
The average probability of being in a female occupation with a level of employment with 50-89% is 52.28%
The average probability of being in a male occupation with a level of employment with 50-89% is 11.16%
The average probability of being in a mix occupation with a level of employment with 50-89& is 36.56%
The average probability of being in a female occupation with a level of employment with 50-89% is 52.28%
The average probability of being in a male occupation with a level of employment with 50-89% is 11.16%
The average probability of being in a mix occupation with a level of employment with 50-89& is 36.56%
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