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st: marginal effects after TPM-Poisson model (or hurdle model)


From   sgsr100@york.ac.uk
To   statalist@hsphsun2.harvard.edu
Subject   st: marginal effects after TPM-Poisson model (or hurdle model)
Date   13 Oct 2005 16:33:41 +0100

Hello, I am using the code for estimating Hurdle Poisson model. I use "ml
model lf hurdle_ll" and the "ml max" I want to estimate marginal effects
for the first equation (eq1) that is a logit model and then marginal
effects for equation 2 (eq2) that is a Poisson model. However when I want
to estimate the marginal effects of the Poisson model indicating:

mfx compute, eqlist(eq2) nodiscrete

I got the marginal effects of the first equation logit model (eq1) instead
of the Poisson model (eq2). How I can get the marginal effects of the
second equation? My second question is when I try to estimate the mfx for
the logit equation (eq1) with the next command:

mfx compute, eqlist(eq1) nodiscrete

I got the marginal effects after ml with the y = linear prediction
(predict), which in fact are the same values that I got with the equation
of the logit model. Is there a way to estimate marginal effects of the
logit equation predicting probabilities?

Thank you,
Sandra



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