Thanks Tamas,
I will try now!
Best Regards,
Joao Lima
2008/4/20, Tamas Bartus (tbartus) <[email protected]>:
> > "Joao Ricardo F. Lima" <[email protected]> wrote:
>
> > If I use a command as the mfx - the marginal effect just
> > considers the associated coefficient the education and the correct would
> > be:
> >
> > dy/d.education = 1 + 2.education(mean) + experience (mean)
>
> I believe my margeff package can produce easily what you want to obtain.
> After estimating your mlogit model, try the following code:
>
>
> margeff , at(mean) replace
> qui su education
> local m1 = r(mean) // getting the mean of education
> qui su experience
> local m2 = r(mean) // getting the mean of experience
> // calculating dy/d.education = 1 + 2.education(mean) + experience (mean)
> lincom education + 2*`m1'*education + `m2'*experience
>
>
> If your derivative contains products of variables as well, use nlcom instead.
>
> Hope this helps,
>
> Tamas
>
> ------------------------------------------------
>
> Tamas Bartus, PhD
> Associate Professor, Institute of Sociology and Social Policy
> Corvinus University, Budapest
> 1093 Budapest, K�zrakt�r utca 4-6.
> Phone: +36-1-482-7301
> Fax: +36-1-482-7348
> Homepage: www.uni-corvinus.hu/bartus
>
>
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>
--
-------------------------------
Joao Ricardo Lima
Professor
UFPB-CCA-DCFS
+553138923914
-------------------------------
*
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