Dear listers:
I am running a very very simple binary model, y=a+bX+e, where y is a dummy
variable.
Before performing -logit- command, I estimate the above model by a
traditional OLS, i.e. linear probability model (regress y x1 x2...)
I knew that OLS is not a good model for fitting this model. I just want to
get some direction from results obtained from traditional OLS
However, after I perform -regress- and -logit-, I found signs of estimated
coefficients from these two models are not the same.
I am just wondering whether this is "normal"? or I am doing anything wrong?
Many thanks.
Jitian
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