Re: st: standard errors after xtmixed, predit.., fitted

[Jennyfer Wolf <jennyfer.wolf@googlemail.com>]

Thank you very much for your answer. I've tried it in many different
variations but I guess there are problems with this approach:

1. the squared standard deviations that we are adding up are
describing variation from the fixed effects but, when I understand
right, not the error of the model

2. the CIs I need describe the uncertainty for the estimates for each
country so countries with more datapoints have a narrower CI and also
for future predictions the CI should get wider (which does not happen
with the approach you suggested.

I tried gllamm and used the "ci_marg_mu" command after "gllapred x, mu
marg fsample" but this does not fit to my individual country data and
still gives me the same CIs no matter how many survey points I have
per country.

Any more ideas on how to get confidence intervals after "xtmixed" and
"predict x, fitted" for the predicted values in multilevel modeling?
(Alternatively with gllamm)
Thank you very, very much.

Jennyfer


2011/12/17 Steve Samuels <sjsamuels@gmail.com>:
>
> Correction: I should not have included the SD for the error term, as it is not part of the fitted value.
>
>
> Here's an example more like yours, but with two levels, not three. I expect that you can take it
> from here
> *******************************************
> webuse productivity, clear
> xtmixed gsp private emp hwy water other unemp  || region: || state: unemp
>
> matrix list e(b)  //names of terms
> scalar sd_region = exp([lns1_1_1]_cons)
> scalar sd_state_u  = exp([lns2_1_1]_cons)
> scalar sd_state   = exp([lns2_1_2]_cons)
> scalar dir // check these SDs against results
>
> predict se_fix,  stdp
>
> gen se_fitted =  ///
>  sqrt(se_fix^2 +sd_region^2 +  sd_state^2 + (unemp*sd_state_u)^2)
> *******************************************
>
> Steve
> sjsamuels@gmail.com
>
> On Dec 16, 2011, at 11:34 AM, Jennyfer Wolf wrote:
>
> Dear Statalist,
>
> sorry for asking the question again, but we are a bit desperate so it
> would be great if anybody has a solution for my question:
>
> Is it possible to get standard errors for the fitted values of a
> multilevel-model (three levels, random slope and intercept) after
>
> xtmixed dep_var indep_var || region1: || region2: || country :year_cat
> predict var, fitted
>
> ?
>
> We would like to present the estimated values with a confidence interval?
> If it is not possible to get the standard errors for the predicted
> values from Stata, is it possible to calculate these values from the
> Standard Errors from the individual estimates?
>
> Thank you very very much.
> With kind regards,
> Jennyfer
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