Correcting Selection Bias in a Non-Probability Two-Phase Payment Survey

Heng Chen and John Tsang

Staff Working Papers from Bank of Canada

Abstract: We develop statistical inferences for a non-probability two-phase survey sample when relevant auxiliary information is available from a probability survey sample. To reduce selection bias and gain efficiency, both selection probabilities of Phase 1 and Phase 2 are estimated, and two-phase calibration is implemented. We discuss both analytical plug-in and pseudo-population bootstrap variance estimation methods that account for the effects of using estimated selection probabilities and calibrated weights. The proposed method is assessed by simulation studies and used to analyze a non-probability two phase payment survey.

Keywords: Bank notes; Econometric and statistical methods (search for similar items in EconPapers)
JEL-codes: C C8 C83 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2025-06
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:bca:bocawp:25-17

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