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Are refugees more likely to leave initial destinations than economic immigrants? : Recent evidence from Canadian longitudinal administrative data / by Lisa Kaida and Max Stick and Feng Hou.: CS11-0019/441E-PDF

"This study asks two sets of questions. First, are refugees more likely to leave their initial destination city than economic immigrants when group differences in sociodemographic and contextual characteristics are taken into account? Among refugees, are Government-assisted refugees (GARs) more likely to leave their initial destination city than (Privately sponsored refugees) PSRs? Second, to what extent does the impact of unemployment on secondary migration vary by admission category? Among refugees, are GARs more likely than PSRs to leave their initial destination city when they experience unemployment?"--Executive summary, page 6.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.883118&sl=0

Publication information
Department/Agency
  • Statistics Canada. Analytical Studies Branch.
TitleAre refugees more likely to leave initial destinations than economic immigrants? : Recent evidence from Canadian longitudinal administrative data / by Lisa Kaida and Max Stick and Feng Hou.
Variant title
  • Recent evidence from Canadian longitudinal administrative data
Series title
  • Analytical Studies Branch research paper series, 1205-9153 ; no. 441
Publication typeMonograph - View Master Record
Language[English]
Other language editions[French]
FormatDigital text
Electronic document
Note(s)
  • "2020004."
  • "11F0019M No. 441."
  • "Release date: January 28, 2020."
  • Issued also in HTML format.
  • Issued also in French under title: Les réfugiés sont-ils plus susceptibles de quitter leur destination initiale que les personnes dans la catégorie de l'immigration économique? Preuves récentes fondées sur les données longitudinales administratives du Canada.
  • Includes bibliographical references (pages 22-23).
Publishing information
  • [Ottawa] : Statistics Canada = Statistique Canada, 2020.
  • ©2020
Author / Contributor
  • Kaida, Lisa, author.
Description1 online resource (23 pages) : graphs.
ISBN9780660336077
Catalogue number
  • CS11-0019/441E-PDF
Departmental catalogue number11F0019M
Subject terms
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