Hi all,
I come to three questions.
First, I am trying to use ramdom effect model or fixed effect model to predict a dummy variable, the high wage using education and job experience.
The simple command look like
xtlogit highwage educ jobexp, fe i(id)
I got a note "note: multiple positive outcomes within groups encountered.
note: 644 groups (1288 obs) dropped due to all positive or all negative outcomes."
What does this mean?
Second, for variables that are constant overtime within individuals, do I still need to include them into my model? If I include such variables, the fixed effect model will drop them while the random effect model with consider them.
Third, if my data is two-wave cross-sectional time series data, I wonder whether I still could not infer causality since dependent variables and independent variables are measured at the same time. Is that right?
Best
--
Lijun Song
Department of Sociology
Box 90088,Duke University
Durham, NC 27708
Phone (919) 660-5604
Cell (919) 724-3811
FAX (919) 660-5623
[email protected]
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