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Can Canadians' work histories be deduced from administrative data? : a feasibility study / by René Morissette and Hanqing Qiu.CS11-633/2021-37E-PDF

"This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File (LWF), can be used to construct individuals' work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the LWF and household surveys regarding the construction of individuals' work histories. Using a simple framework for measuring work histories, the study identifies which components of this framework can be adequately measured with the LWF linked to the 1991 Census of Population. The main finding is that, while it lacks information on key time-varying variables such as occupation and work hours, the LWF linked to the Census of Population can measure individuals' work histories to a fairly large extent"--Abstract, page 5.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.905355&sl=0

Publication information
Department/Agency
  • Statistics Canada, issuing body.
TitleCan Canadians' work histories be deduced from administrative data? : a feasibility study / by René Morissette and Hanqing Qiu.
Series title
  • Analytical studies : methods and references, 2371-3429 ; no. 037
Publication typeMonograph - View Master Record
Language[English]
Other language editions[French]
FormatDigital text
Electronic document
Note(s)
  • Issued also in French under title: Les antécédents professionnels des Canadiens peuvent-ils être induits des données administratives? Étude de faisabilité.
  • "Catalogue no. 11-633-X — No. 037."
  • "2021009."
  • Issued also in HTML format.
  • Includes bibliographical references (pages 43-44).
Publishing information
  • [Ottawa] : Statistics Canada = Statistique Canada, December 9, 2021.
  • ©2021
Author / Contributor
  • Morissette, R. (René), 1959- author.
Description1 online resource (44 pages).
ISBN9780660410913
Catalogue number
  • CS11-633/2021-37E-PDF
Departmental catalogue number11-633-X
Subject terms
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