[Tracy Yang]

By the way, I bet a linear model estimated by FE would give similar results in the end. You'll probably get some negative fitted values and some above one, but I would just bring those into the unit interval -- a lot like you'd predict a zero probability or probability of one in the FE logit case.

The xtlogit with location as ID and including day as dummy variable gives this error "2,436 (group size) take 1,107 (# positives) combinations results in numeric overflow; computations cannot proceed".

Does that mean I can only turn to linear model?

[Tracy Yang]

By the way, I bet a linear model estimated by FE would give similar results in the end. You'll probably get some negative fitted values and some above one, but I would just bring those into the unit interval -- a lot like you'd predict a zero probability or probability of one in the FE logit case.

The xtlogit with location as ID and including day as dummy variable gives this error "2,436 (group size) take 1,107 (# positives) combinations results in numeric overflow; computations cannot proceed".

Does that mean I can only turn to linear model?