Survey Methodology
Comments by Changbao WuNote 1 on “Handling non‑probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”

  • Release date: June 25, 2024
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Abstract

We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.

Key Words:  Inverse probability weighting; Participation probability; Pooled sample; Poststratification; Pseudo maximum likelihood; Reference probability sample.

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How to cite

Wu, C. (2024). Comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”. Survey Methodology, Statistique Canada, n° 12‑001‑X au catalogue, vol. 50, n° 1. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2024001/article/00002-eng.htm.

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ISSN : 1492-0921

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Survey Methodology publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves. All papers will be refereed. However, the authors retain full responsibility for the contents of their papers and opinions expressed are not necessarily those of the Editorial Board or of Statistics Canada.

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Published by authority of the Minister responsible for Statistics Canada.

© His Majesty the King in Right of Canada, as represented by the Minister of Industry, 2024

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Catalogue No. 12-001-X

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