Timothy Dang <[email protected]>:
Computing the mean across individuals is also a form of ignoring
heterogeneity, in some sense. But to answer your main question, the
-strata- option you specified constrains -bootstrap- to draw (for each
replication) 12 observations with replacement within each subject
record. This does not seem to address your main concern that
observations within subject are likely highly correlated, but the
-cluster- option does. The -svy:tab- command I showed is just a trick
to get good confidence intervals for proportions; there are others.
See [R] bootstrap or SJ4:312-328 for more detail on -bootstrap-:
http://www.stata-journal.com/sjpdf.html?articlenum=st0073
On Wed, Mar 19, 2008 at 1:56 PM, Timothy Dang <[email protected]> wrote:
> Hello Austin-
>
> To answer your question, I'm ignoring learning as being much less
> important than heterogeneity.
>
> I obviously need to think about this more. I haven't used any of the
> -svy- commands in Stata before, so I'll try to figure them out.
>
> Meanwhile, I'm still wondering about the effect of -strata-. Does it
> cause bootstrap to draw one (independent) sample from each stratum for
> a replication? Or is it something else?
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