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Resampling variance estimation for complex survey data

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  • Stanislav Kolenikov

    (University of Missouri)

Abstract

In this article, I discuss the main approaches to resampling variance es- timation 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. Copyright 2010 by StataCorp LP.

Suggested Citation

  • Stanislav Kolenikov, 2010. "Resampling variance estimation for complex survey data," Stata Journal, StataCorp LP, vol. 10(2), pages 165-199, June.
    • Handle: RePEc:tsj:stataj:v:10:y:2010:i:2:p:165-199
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    References listed on IDEAS

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    1. Edward L. Korn & Barry I. Graubard, 1995. "Analysis of Large Health Surveys: Accounting for the Sampling Design," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(2), pages 263-295, March.
    2. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    3. Brady T. West & Patricia Berglund & Steven G. Heeringa, 2008. "A closer examination of subpopulation analysis of complex-sample survey data," Stata Journal, StataCorp LP, vol. 8(4), pages 520-531, December.
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