Re: st: Correcting for SEs in complex survey design

[Steven Samuels <sjhsamuels@earthlink.net>]

--


Erin:

With survey data, standard errors are based on between-PSU  
variability.  You do not need a family level cluster variable.

If you wish to model the clustering of responses within households  
and to estimate the household, parent, and child contributions to  
variation, try -gllamm-, available from ssc. It will accommodate the  
survey weights and allows a cluster (PSU) variable that is not in the  
multilevel model.

Take a look at: Anders Skrondal1 and Sophia Rabe-Hesketh. Some  
applications of generalized linear latent and mixed models in  
epidemiology: Repeated measures, measurement error and multilevel  
modeling. Norsk Epidemiologi 2003; 13 (2):265-278 265

Regards,

Steve

On Feb 20, 2009, at 1:50 PM, Erin Hye-Won Kim wrote:

> Dear statalisters,
>
> I am analyzing data from a survey with complex design. The dataset  
> has both
> clusters and strata, so I used
>
> svyset psuid [pweight=weight], strata(stratid)
>
> The dataset is representative of individual parents and many  
> parents have
> multiple children. To analyze the relationship between a parent and  
> each of
> his/her children,
>
> I reshape the dataset from a wide to a long format as in the following
>
> parent1 child1 child2.... ==> parent1-child1
>                               parent1-child2
>
> In regressions after reshaping, I have to correct for SEs since  
> siblings are
> correlated, so I tried the following
>
> svy: regress Y Xs, cluster(parent_id)
>
> STATA says "svy" cannot be used with "cluster" option. Is there any  
> way to
> correct for SEs while circumventing this problem?
> ---------------------------------------------------------
>
> In addition, I tried family fixed-effects models by controlling for  
> parent_ids.
>
> svy: aregress Y Xs, absorb(parent id)
>
> Again STATA says "svy" cannot go with "areg". There are too many  
> parent_ids to
> control manually. Is there any solution to this problem?
> ---------------------------------------------------------
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