Hi,
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-.
Anyone has an idea? Am I missing something obvious?
Thanks in advance.
Beno�t Laplante, professeur
Universit� du Qu�bec
Institut National de la Recherche Scientifique
Urbanisation, Culture et Soci�t�
http://www.inrs-ucs.uquebec.ca/default.asp?p=lapl
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
