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

In: The Econometrics of Complex Survey Data

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  • Heng Chen
  • Q. Rallye Shen

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.

Suggested Citation

  • Heng Chen & Q. Rallye Shen, 2019. "Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 87-106, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:aecozz:s0731-905320190000039004
    DOI: 10.1108/S0731-905320190000039004
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    References listed on IDEAS

    as
    1. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2013. "The 2010 Survey of Consumer Payment Choice: technical appendix," Research Data Report 13-3, Federal Reserve Bank of Boston.
    2. Stanislav Kolenikov, 2010. "Resampling variance estimation for complex survey data," Stata Journal, StataCorp LP, vol. 10(2), pages 165-199, June.
    3. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    4. Christopher Henry & Kim Huynh & Rallye Shen, 2015. "2013 Methods-of-Payment Survey Results," Discussion Papers 15-4, Bank of Canada.
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    Cited by:

    1. Christopher Henry & Kim Huynh & Rallye Shen, 2015. "2013 Methods-of-Payment Survey Results," Discussion Papers 15-4, Bank of Canada.
    2. Christopher Henry & Kim Huynh & Gradon Nicholls & Mitchell Nicholson, 2019. "2018 Bitcoin Omnibus Survey: Awareness and Usage," Discussion Papers 2019-10, Bank of Canada.
    3. Heng Chen & Walter Engert & Marie-Hélène Felt & Kim P. Huynh & Gradon Nicholls & Daneal O'Habib & Julia Zhu, 2021. "Cash and COVID-19: The impact of the second wave in Canada," Discussion Papers 2021-12, Bank of Canada.
    4. Heng Chen & Walter Engert & Kim Huynh & Gradon Nicholls & Julia Zhu, 2021. "Cash and COVID-19: The Effects of Lifting Containment Measures on Cash Demand and Use," Discussion Papers 2021-3, Bank of Canada.
    5. Kyle Vincent, 2015. "2013 Methods-of-Payment Survey: Sample Calibration Analysis," Technical Reports 103, Bank of Canada.
    6. Heng Chen & Marie-Hélène Felt & Christopher Henry, 2018. "2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation," Technical Reports 114, Bank of Canada.

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    More about this item

    Keywords

    Variance estimation; raking; calibration; resampling; bootstrap; 2013 Methods-of-Payment;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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