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Predicting the quality and evaluating the use of administrative data for the 2021 Canadian Census of Population.

Authors :
Lundy, Erin R.
Source :
Statistical Journal of the IAOS; 2022, Vol. 38 Issue 4, p1177-1183, 7p
Publication Year :
2022

Abstract

This paper presents the statistical contingency plan for the 2021 Canadian Census of Population, developed in response to the COVID-19 pandemic, wherein administrative data was to impute non-responding households in areas with a low response rate and where the administrative data were of sufficient quality. We describe the modeling approach for predicting the quality of data available for administrative households, including important extensions to existing approaches. As well, we provide a framework for evaluating direct imputation using administrative data, relative to traditional donor imputation, in the absence of a simulation study. We conclude by discussing the evaluation using preliminary data and subsequent implementation for the 2021 Canadian Census of Population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18747655
Volume :
38
Issue :
4
Database :
Complementary Index
Journal :
Statistical Journal of the IAOS
Publication Type :
Academic Journal
Accession number :
161139241
Full Text :
https://doi.org/10.3233/SJI-220082