Re: st: xtlogit and clustering

[Jeph Herrin <stata@spandrel.net>]

With only 2 schools you will certainly run into trouble trying model
variance between schools.

More generally, you can estimate 3-level logit models with -xtmelogit-.

hth,
Jeph


On 11/27/2010 9:29 AM, Shehzad Ali wrote:
> Thanks, Maarten. That sounds like a good idea.
>
> The option I was wondering may be:
>
> gllamm y x1 x2, link(logit) fam(bin) i(school id)
>
> Here obviously the id (the student id) is the panel variable and school is the
> higher level cluster variable. I wonder if this would be a wise option or should
> I stick to what you suggested? Also, following on from your advice, the school
> variable was not statistically significant when introduced as a covariate. Is
> this an indication that I shouldn't worry about the school level clustering?
>
> Thanks,
> Shehzad
>
>
>
>
> ----- Original Message ----
> > From: Maarten buis<maartenbuis@yahoo.co.uk>
> > To: statalist@hsphsun2.harvard.edu
> > Sent: Fri, 26 November, 2010 15:56:38
> > Subject: Re: st: xtlogit and clustering
> >
> > --- On Fri, 26/11/10, Shehzad Ali wrote:
> > > If you have clustered data from  two schools with repeated
> > > observations for students at three time  points. Is it
> > > possible to use the -xtlogit- model and  specify  that
> > > clustering occurs at the level of students (the panel
> > > data)  and  also at the level of schools (two schools)?
> >
> > Why not just  include a dummy for school? Two clusters
> > seems to me way too few for anything  more sophisticated.
> >
> > Hope this  helps,
> > Maarten
> >
> > --------------------------
> > Maarten L.  Buis
> > Institut fuer Soziologie
> > Universitaet Tuebingen
> > Wilhelmstrasse  36
> > 72074 Tuebingen
> > Germany
> >
> > http://www.maartenbuis.nl
> > --------------------------
> >
> >
> >
> >
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