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Variance estimation of survey estimates calibrated on estimated control totals--An application to the extended regression estimator and the regression composite estimator

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  • Berger, Yves G.
  • Muñoz, Juan F.
  • Rancourt, Eric

Abstract

Calibration on control totals is commonly used for survey weighting. It is usually assumed that these totals are values known without sampling errors. However, they can be estimated from other sources. A variance estimator that takes into account the randomness of control totals is derived. Several situations such as calibration on external sources and calibration with sampling on two occasions are investigated. The methodology proposed is general and can be implemented in various situations when control totals are estimated.

Suggested Citation

  • Berger, Yves G. & Muñoz, Juan F. & Rancourt, Eric, 2009. "Variance estimation of survey estimates calibrated on estimated control totals--An application to the extended regression estimator and the regression composite estimator," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2596-2604, May.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:7:p:2596-2604
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    References listed on IDEAS

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    1. Yves G. Berger & J. N. K. Rao, 2006. "Adjusted jackknife for imputation under unequal probability sampling without replacement," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 531-547, June.
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    Cited by:

    1. Alessio Guandalini & Yves Tillé, 2017. "Design-based Estimators Calibrated on Estimated Totals from Multiple Surveys," International Statistical Review, International Statistical Institute, vol. 85(2), pages 250-269, August.
    2. Yves G. Berger & Ewa Kabzińska, 2020. "Empirical Likelihood Approach for Aligning Information from Multiple Surveys," International Statistical Review, International Statistical Institute, vol. 88(1), pages 54-74, April.

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