Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire

Heng Chen and Q. Rallye Shen

A chapter in The Econometrics of Complex Survey Data, 2019, vol. 39, pp 87-106 from Emerald Group Publishing Limited

Abstract: Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and ensure consistency with external population counts, the observations are weighted through a raking procedure. We apply bootstrap resampling methods to estimate the variance, allowing for randomness from both the sampling design and raking procedure. We find that the variance is smaller when estimated through the bootstrap resampling method than through the naive linearization method, where the latter does not take into account the correlation between the variables used for weighting and the outcome variable of interest.

Keywords: Variance estimation; raking; calibration; resampling; bootstrap; 2013 Methods-of-Payment (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:eme:aecozz:s0731-905320190000039004

DOI: 10.1108/S0731-905320190000039004

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