Make sure you understand the scaling issues with multilevel logit models;
see http://www.citeulike.org/user/ctacmo/article/3057661. Not all
comparisons will be meaningful when you introduce an additional level.
On Fri, Feb 12, 2010 at 3:19 PM, Dimitrije Tišma
<[email protected]>wrote:
> The command was a quite typical -xtmelogit-. Persons are nested within
> households, i.e. they do not change the HH number over time. As the
> first step I wanted only random intercepts for person and household
> level, so I wrote the following:
>
> xi: xtmelogit depvar indepvars || personID: || householdID:
>
> I did not save the results, I am afraid, but I remember well what was
> puzzling. The group statistics was strange to me, as it showed the
> same number of units on both levels. Obviously, it considered the
> number of person-household combinations as number of households and I
> don't know why. Furthermore, while when using -gllamm- the results
> change considerably by introducing another level (household), here
> they were practically identical to those when using logit. Thanks in
> advance for the answer.
>
>
>
>
>
>
>
>
> 2010/2/12 Airey, David C <[email protected]>:
> > .
> >
> > Show your commands and results.
> >
> >> Dear all,
> >>
> >> I am working with some household panel dataset and in order to check
> >> for random effects I did both gllamm and xtmelogit regression. While
> >> in gllamm everything worked fine, xtmelogit did not deal with the two
> >> levels (individuals and households) the way I expected. Namely, it
> >> reports the same number of units on both levels (!) and practically no
> >> random effects either level. Also, the results are practically
> >> identical to the results when "normal" logit regression is used. Does
> >> anyone know what this could be about? Thanks a lot.
> >>
> >> Dimitrije
> >
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Stas Kolenikov, also found at http://stas.kolenikov.name
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