Resampling variance estimation for complex survey data

In this article, I discuss the main approaches to resampling variance estimation in complex survey data: balanced repeated replication, the jackknife, and the bootstrap. Balanced repeated replication and the jackknife are implemented in the Stata svy suite. The bootstrap for complex survey data is implemented by the bsweights command. I describe this command and provide working examples.


Issue Date:
2010
Publication Type:
Journal Article
DOI and Other Identifiers:
st0187 (Other)
Record Identifier:
http://ageconsearch.umn.edu/record/152296
PURL Identifier:
http://purl.umn.edu/152296
Published in:
Stata Journal, Volume 10, Number 2
Page range:
165-199
Total Pages:
35

Record appears in:



 Record created 2017-04-01, last modified 2018-01-22

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