Hello, I've tried the logit with a binary variable but I found out that the sample size is only 95.
I found out that Firth's Penalized Maximumlikehood methods can reduce small sample bias so that I tried it,
and AIC improved better than logit model,
but when I ran the margins, it shows negative value.


logit experience money if married==1
margins, at (money=4)


firthlogit experience money if married==1
margins, at (money=4)

only difference was firthlogit and then I got a negative margins value(it didn't happen at logit).
Why is that? and how can I solve the problem?

Thanks a lot!