I run this regression for grouped data logistic regression models where
zvars is a set of individual dummies
glogit ntcrimes pop cl income1 pyoung pforeign unempl den $zvars
I try to replicate the analysis step by step
lpe =log (ntcrimes/pop/(1-ntcrimes/pop))
regress lpe income1 cl pyoung pforeign unempl den $zvars
predict flpe %get predicted values
gen eflpe= exp(flpe)
gen fpflpe=eflpe/(1+eflpe) /logits
gen v=1/((ntcrimes*fpflpe)*(1-fpflpe)) /variance
gen wt=1/v /weights are inversely proportional to variances
regress lpe cl income1 pyoung pforeign unempl den $zvars [aweight =
wt]
I got different results, somebody knows why?
Regards
Antonio
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