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Predicting the quality and evaluating the use of administrative data for the 2021 Canadian Census of Population.
- 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]
- Subjects :
- COVID-19 pandemic
CENSUS
EMERGENCY management
HOUSEHOLDS
DATA quality
FORECASTING
Subjects
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