JOURNAL ARTICLE

Resampling Variance Estimation for Complex Survey Data

Stanislav Kolenikov

Year: 2010 Journal:   The Stata Journal Promoting communications on statistics and Stata Vol: 10 (2)Pages: 165-199   Publisher: SAGE Publishing

Abstract

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.

Keywords:
Jackknife resampling Resampling Replication (statistics) Variance (accounting) Computer science Estimation Suite Statistics Data mining Econometrics Mathematics Algorithm Engineering Geography Estimator

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Citation History

Topics

demographic modeling and climate adaptation
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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