--- Nailing Xia wrote:
> Thanks, Maarten. I did what you suggested, and it happens that when
> estimating the third imputed dataset, it keeps doing the iterations -
> showing "Iteration xx: log restricted-likelihood = -xx.xx (backed up)"
> again and again. I guess this is the sign for the model being
> unidentified in the third dataset?
Yes
> However, even if I drop the third imputed dataset, there is another
> problem with other imputed datasets. The result only includes
> coefficient and standard error for the intercept, and coefficients for
> the random components, but no standard errors for the random effects
> parameters. It also shows a warning, saying that "convergence not
> achieved; estimates are based on iterated EM". Is this also an
> identification problem? What can I do about it?
That just looks like there is something very wrong with your -xtmixed-
model. I would focuss of fixing that before doing a multiple imputation
model. My first suspect would be the two levels of nesting: are they
correct, or did something go wrong while preparing the data? Do you
need both levels? Once you got -xtmixed- to work with the unimputed
data, try it again on the imputed data. If it still doesn't work, check
the imputation model. Again my prime suspect would be the nesting: did
the model properly acount for the nested structure? Did it do something
weird to the level identifiers?
-- Maarten
-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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