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Re: st: Computing predicted probabilities in multi-level model (xtmelogit)


From   "Michael.Stuetzer" <Michael.Stuetzer@uni-jena.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Computing predicted probabilities in multi-level model (xtmelogit)
Date   Mon, 25 Oct 2010 08:14:08 +0200

Hi Phil,

you understood the model correctly and many thanks for the hints.

Michael

Philip Ender schrieb:
"Michael.Stuetzer" <Michael.Stuetzer@uni-jena.de> had a question on
computing predicted probabilities from -xtmelogit-.  In particular, he
had a question on how to handle an interaction term in the model.
First off, the method he selected from the ATS Stat Consulting FAQ
page,

http://www.ats.ucla.edu/stat/stata/faq/xtmelogit_prob.htm

is meant to produce predicted probabilities that include both fixed
and random effects.  If the predicted probabilities using just the
fixed portion of the model are acceptable then the process is much
easier using -margins- with the predict(mu fixedonly).

If I understand things correctly, the variable,
int_ownmge_bipwachstum, is the interaction of the categorical
variable, Zownmge, and the continuous variable, Zbipwachstum_l1t5.  To
get the correct probabilities the interaction term needs to change
when Zownmge changes.  When Zownmge equals zero the interaction should
also equal zero.  When Zownmge equals one the interaction value equals
Zbipwachstum_l1t5.

So hopefully I understand your model correctly.

Phil


--


Dipl.-Vw. Michael Stützer
Thüringer Gründer Studie/
Lehrstuhl für Mikroökonomik
Friedrich-Schiller-Universität Jena
Carl-Zeiß-Str. 3
D-07743 Jena

Tel.: +49 03641 943207
Fax.: +49 03641 943202

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