Benoit Laplante <[email protected]> has bootstrap replicate weight
variables and asks how to generate a dataset for use with -bstat-:
> I use data from complex surveys that are distributed with bootstrap weights
> (actually, mean bootstrap weights, but this is not the issue).
>
> In need to compute a variance matrix based on the deviation from the
> averaged bootstrap coefficients. Given that I do not know the averaged
> coefficients until I have performed all the relevant replications, I cannot
> accumulate variance. Thus I need to store the elements of the numerous e(b)
> somewhere until I process them with -bstat- or something similar.
>
> The number of elements of e(b) as well as the column names differ for each
> analysis.
>
> The number of covariates may reach a few dozens and the number of
> replications may reach 1000. Given the size, appending each e(b) in a matrix
> does not seem to be a workable solution.
>
> -post- requires expressions enclosed in parentheses. I can extract the
> column names from e(b), but I cannot see how to turn the content of e(b)
> into anything palatable for -post-.
When I first read this email, I wrote an example do-file to illustrate how to
use -post- with some new "undocumented" Stata 9 programmer tools (see -help
_prefix-). Just before I send the reply out, I decided it would be better if
I just wrote an UNofficial version of -bootstrap- that took replicate weight
variables instead of using -bsample- to generate the bootstrap replicates.
The UNofficial prefix command is -bs4rw-. Those interested in testing it out
can download it from my user site at stata.com:
. net from http://www.stata.com/users/jpitblado
. net d bs4rw
. net install bs4rw
I've written a short certification script for -bs4rw-. It merely verifies
that -bs4rw- can reproduce the -e(V)- from -bootstrap- when given the
appropriate replicate weight variables (assuming a given seed). This
certification script can also be downloaded:
. net get bs4rw
I've only just started looking into the survey literature regarding the
Bootstrap, so I'm not sure how useful -bs4rw- will be for different methods
that generate bootstrap replicate weight variables. The idea behind -bs4rw-
is to call the prefixed command using each supplied replicate weight variable,
save the point estimates to a (temporary) data file, then use the standard
formulas (see [R] bootstrap) for computing the variance matrix.
--Jeff
[email protected]
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