--- On Thu, 15/10/09, Evans Jadotte wrote:
> I am probably having some syntax problem in Stata to get
> around this issue. My original estimation is:
>
> . xi: quietly xtmixed logequiv $vul_list ||strata:
> ||cluster:, var
>
> *So, I believe the the way to get the shrinkage factor per
> number of cases is:
>
> . local
> Rjs=[lns1_1_1]_cons^2/([lns1_1_1]_cons^2+exp([lnsig_e]_cons)^2/nj)
>
> * All seem clear, except the nj (unbalanced). Trying to way
> you suggested, I am not sure which variables the vars
> (neither the ids) stand for since what I got is the
> following message
>
> . gen miss = missing(lns1_1_1, lns2_1_1, lnsig_e)
> lnsig_e not found
> r(111);
The var in my example stands for variable not variance. The miss
variable is there to make sure that you ignore missing values in
your estimation. A safer way in which you can also get that is
by typing:
gen byte miss = !e(sample)
The ! is a negation, and e(sample) identifies those cases used in
the estimation
The ids are your grouping identifiers, so identifying whatever
your j-index represents.
-- Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
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