Re: AW: st: margeff after mlogit

["Bartus Tamás" <tamas.bartus@uni-corvinus.hu>]

Dear Lena,

Just use factor variables and margins will now which dummies belong to the same variable.
When I wrote margeff , there were no factor variables around. This is the reason behind the dummies option in margeff.

Tamas

On 13/12/12, LIECHTI Lena <lena.liechti@unifr.ch> wrote:
> margins helps, thanks!
> 
> Do you know, if there is a possibility to estimate AMEs properly with the margins command if more than one dummy belong to the same variable (e.g. three levels of education)?
> With the margeff command this would be the option "dummies()"
> 
> 
> ________________________________________
> Von: owner-statalist@hsphsun2.harvard.edu <owner-statalist@hsphsun2.harvard.edu> im Auftrag von Richard Williams <richardwilliams.ndu@gmail.com>
> Gesendet: Donnerstag, 12. Dezember 2013 18:44
> An: statalist@hsphsun2.harvard.edu; statalist@hsphsun2.harvard.edu
> Betreff: Re: st: margeff after mlogit
> 
> A few other thoughts:
> 
> I am surprised it won't run with only a 1000
> cases and one variable. That makes me wonder if
> there is something weird about the data or the
> model, e.g. does one category only have 3 cases?
> But, if it is a problem with margeff, maybe switching to margins will fix it.
> 
> Consider (at least for exploratory purposes)
> estimating the marginal effects at the means
> (MEMs) rather than the AMEs. This should be far
> less computationally intensive. If problems
> persist, that again makes me wonder about the data or model.
> 
> One of the nice things about margeff is that a
> single command will generate all the marginal
> effects. With margins, you have to have a
> separate command for each outcome, e.g. if y has
> 4 categories you need to do something like
> 
> mlogit y i.x1 i.x2
> margins, dydx(*) predict(outcome(#1))
> margins, dydx(*) predict(outcome(#2))
> margins, dydx(*) predict(outcome(#3))
> margins, dydx(*) predict(outcome(#4))
> 
> Having margins do all the outcomes at once after
> things like mlogit and ologit is on my ongoing
> wish list for each new version of stata.
> 
> 
> At 09:54 AM 12/12/2013, Maarten Buis wrote:
> >With Stata 12 you can use the official -margins- command instead of
> >the user-written -margeff- command to get the average marginal
> >effects. You would have to use factor variables instead of manually
> >creating the indicator variables; see -help fvvarlist-.
> >
> >Hope this helps,
> >Maarten
> >
> >
> >On Thu, Dec 12, 2013 at 3:11 PM, LIECHTI Lena <lena.liechti@unifr.ch> wrote:
> > > Dear STATA-List ;I am trying to compute
> > average marginal effects via margeff command
> > (example: margeff, dummies(educ_* child* age*
> > zivl* lang* pop*) replace) after a multinomial
> > logistic regression. Stata (SE 12.1) seems to
> > compute something but even after several days,
> > the process is still going on.;I have a huge
> > data set (around 700´000 observations). The
> > dependent variable has three possible outcomes
> > and I include 18 independent variables. But a
> > trial with a much smaller data set (1´000
> > observations) and only one independent variable
> > also takes ages without providing any
> > results.;Does anybody know, why this happens
> > and how to overcome this problem?;Thanks and best regards;Lena
> > >
> > >
> > >
> > > *
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> >
> >
> >
> >--
> >---------------------------------
> >Maarten L. Buis
> >WZB
> >Reichpietschufer 50
> >10785 Berlin
> >Germany
> >
> >http://www.maartenbuis.nl
> >---------------------------------
> >
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> 
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
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> 
--

Tamás Bartus, PhD
Associate Professor, Deputy Director
Institute of Sociology and Social Policy
Program Director, Doctoral School of Sociology
Corvinus University, Budapest 
1093 Budapest, Közraktár utca 4-6.
Room 424.
Phone: +36-1-482-7301 
Fax: +36-1-482-7348
Homepage: http://web.uni-corvinus.hu/bartus

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