Improvements to the Canadian Income Survey methodology for the 2022 reference year / by Nathalie Caron and Keith Lam.: CS75-0002/2024-5E-PDF

"The Canadian Income Survey (CIS) has introduced improvements to the methods and data sources used to produce income and poverty estimates with the release of its 2022 reference year estimates. Foremost among these improvements is a significant increase in the sample size for a large subset of the CIS content. Estimates for 2022 and moving forward also include improvements to the weighting methodology and the extension of the target population for the CIS from persons aged 16 years and over to persons aged 15 years and over. This paper begins by explaining the changes leading to the increased sample size for the CIS. Next, it describes the updates to the weighting methodology. Finally, it presents the approximate net results of these changes on income estimates for the 2021 reference year. The changes described in this paper highlight the ways in which data quality has been improved while producing small impacts on key CIS estimates and trends"--Introduction, page 3.

Permanent link to this Catalogue record:
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Publication information
Department/Agency Statistics Canada, issuing body.
Title Improvements to the Canadian Income Survey methodology for the 2022 reference year / by Nathalie Caron and Keith Lam.
Series title Income research paper series ; 1707-2840
Publication type Series - View Master Record
Language [English]
Other language editions [French]
Earlier edition Improvements to the Canadian Income Survey methodology for the 2021 reference year /
Format Electronic
Electronic document
Note(s) Cover title.
"Release date: April 26, 2024."
Issued also in French under title: Améliorations apportées à la méthodologie de l'Enquête canadienne sur le revenu pour l'année de référence 2022.
Publishing information [Ottawa] : Statistics Canada = Statistique Canada, 2024.
©2024
Author / Contributor Caron, Nathalie, author.
Description 1 online resource (12 pages) : illustrations.
ISBN 9780660711737
Catalogue number
  • CS75-0002/2024-5E-PDF
Departmental catalogue number 75F0002M
Subject terms Income -- Canada -- Statistics.
Poverty -- Canada -- Statistics.
Income -- Canada -- Statistics -- Methodology.
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