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Re: st: Convergence never achieved with MI impute chained
From
[email protected] (Wes Eddings, StataCorp)
To
[email protected]
Subject
Re: st: Convergence never achieved with MI impute chained
Date
Wed, 20 Jun 2012 18:04:34 -0500
Lena Lindbjerg Sperling ([email protected]) received a
"convergence not achieved" error from -mi impute chained-:
> (snip)
> My MI code looks like this:
> mi impute chained (mlogit) ocu occup ocusec industry (ologit, noimp) edulevel
> (regress) mwage whours = soc reg gender age urb if lstatus==1 [pweight=wgt],
> chainonly burnin(100) savetrace(impstats, replace) augment
> Any help on why I can never get convergence is very much appreciated!
> (snip)
Lena's imputation problem is a challenging one---there are several categorical
variables, and some variables have many missing values. To isolate the
convergence error, Lena may re-run -mi impute chained- with the -noisily-
option, which will display the output for each model that is fit. Lena may then
try to fit the non-convergent model on the observed data, by using the -mi xeq
0:- prefix with, say, the -mlogit- command. Looking at the observed data may
make it easier to tell how the model should be modified.
--Wes
[email protected]
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