Dear Statalist members,
I have read that it doesn't make much sense using margins after non-linear fixed effects models (one of the links:https://hbs-rcs.github.io/2017/02/14...fixed-effects/).
As I understand it, the reason why you can't predict the dependent variable is that the models do not calculate the fixed effects.
Then I wondered about lincom. I think it is OK to use lincom unlike margins because althoug it is a similar post estimation with margins, but it does not predict the dependent variable but just linear combinations of coefficients. I wonder what other members think about using lincom after fixed effects non-linear models.
Thanks,
David
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