Predicting the quality and evaluating the use of administrative data for the 2021 Canadian Census of Population
Statistical Journal of the IAOS
; : 1-7, 2022.
Article
in English
| Academic Search Complete | ID: covidwho-2089737
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. [ FROM AUTHOR]
Full text:
Available
Collection:
Databases of international organizations
Database:
Academic Search Complete
Type of study:
Experimental Studies
/
Prognostic study
Language:
English
Journal:
Statistical Journal of the IAOS
Year:
2022
Document Type:
Article
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