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2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

Author

Listed:
  • Heng Chen
  • Marie-Hélène Felt
  • Christopher Henry

Abstract

This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments. In the end, we estimate variances of weighted means and proportions using bootstrap replicate survey weights. Compared with probability sampling, we find that (i) strong assumptions are required to reduce bias when probabilities of selection are unknown, and (ii) multiple weight adjustments for bias reduction inflate variance. Therefore, it is important to focus more on bias than on variance in the context of nonprobability sampling.

Suggested Citation

  • Heng Chen & Marie-Hélène Felt & Christopher Henry, 2018. "2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation," Technical Reports 114, Bank of Canada.
  • Handle: RePEc:bca:bocatr:114
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    File URL: https://www.bankofcanada.ca/wp-content/uploads/2018/12/tr114.pdf
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    References listed on IDEAS

    as
    1. Carlos Arango & Angelika Welte, 2012. "The Bank of Canada’s 2009 Methods-of-Payment Survey: Methodology and Key Results," Discussion Papers 12-6, Bank of Canada.
    2. repec:bla:jorssa:v:180:y:2017:i:2:p:503-530 is not listed on IDEAS
    3. Christopher Henry & Kim Huynh & Rallye Shen, 2015. "2013 Methods-of-Payment Survey Results," Discussion Papers 15-4, Bank of Canada.
    4. Heng Chen & Geoffrey R. Dunbar & Rallye Shen, 2017. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Staff Working Papers 17-43, Bank of Canada.
    5. Heng Chen & Marie-Hélène Felt & Kim P. Huynh, 2017. "Retail payment innovations and cash usage: accounting for attrition by using refreshment samples," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 503-530, February.
    6. Wang, Wei & Rothschild, David & Goel, Sharad & Gelman, Andrew, 2015. "Forecasting elections with non-representative polls," International Journal of Forecasting, Elsevier, vol. 31(3), pages 980-991.
    7. Christopher Henry & Kim Huynh & Angelika Welte, 2018. "2017 Methods-of-Payment Survey Report," Discussion Papers 18-17, Bank of Canada.
    8. Heng Chen & Rallye Shen, 2015. "Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire," Technical Reports 104, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Christopher Henry & Kim Huynh & Gradon Nicholls & Mitchell Nicholson, 2019. "2018 Bitcoin Omnibus Survey: Awareness and Usage," Discussion Papers 2019-10, Bank of Canada.

    More about this item

    Keywords

    Econometric and statistical methods;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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