Dear Stata users
I am estimating grouped data logistic models. The problem with the
intepretation of these coefficients that they do not give true partial
effects.
My interest is to know how much an increase in income increase the
dep.variable. The effect can be obtained from the partial derivative
g(x0+xb)*bj for variable xj. We need to evaluate the logistic density
function in the mean values of the variables. That's what I have done. I
got the same coefficient that when estimating the model. These
coefficients reported in STATA have straigthforward interpretation? how
i could get them?
glogit ntsex pop clsex $xvars $zvars $tvars
matrix b=e(b)
matrix list b
matrix accum a= clsex $xvars $zvars $tvars, mean(m)
matrix list m
matrix d=b*m'
matrix list d
global eff = ((exp(d))/(1+exp(d)))^2
di $eff *_b[income]
Regards
Antonio
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