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Predicting Immigrant Employment Sequences in the First Years of Settlement

Drawing on data from the Longitudinal Survey of Immigrants to Canada, we analyze factors shaping new immigrants' month-bymonth employment trajectories over their first 4 years of settlement.We treat trajectories as multidimensional and holistic entities, seeking to predict the correlates of a set of... Full description

Journal Title: The International migration review 2012-03, Vol.46 (1), p.138-190
Main Author: Fuller, Sylvia
Other Authors: Martin, Todd F.
Format: Electronic Article Electronic Article
Language: English
Subjects:
Bias
Canada
Cluster Analysis
Correlation analysis
Discrimination
Employment
Employment discrimination
Households
Human Capital
Immigrant adaptation
Immigrants
International migration
Labor markets
Labour migration
Men
Noncitizens
Resettlement
Reviews
Self employment
Social integration
Social Networks
Spouses
Trajectories
Working women
Quelle: Alma/SFX Local Collection
Publisher: Oxford, UK: Blackwell Publishing Ltd
ID: ISSN: 0197-9183
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recordid: cdi_proquest_miscellaneous_1040990320
title: Predicting Immigrant Employment Sequences in the First Years of Settlement
format: Article
creator:
  • Fuller, Sylvia
  • Martin, Todd F.
subjects:
  • Bias
  • Canada
  • Cluster Analysis
  • Correlation analysis
  • Discrimination
  • Employment
  • Employment discrimination
  • Households
  • Human Capital
  • Immigrant adaptation
  • Immigrants
  • International migration
  • Labor markets
  • Labour migration
  • Men
  • Noncitizens
  • Resettlement
  • Reviews
  • Self employment
  • Social integration
  • Social Networks
  • Spouses
  • Trajectories
  • Working women
ispartof: The International migration review, 2012-03, Vol.46 (1), p.138-190
description: Drawing on data from the Longitudinal Survey of Immigrants to Canada, we analyze factors shaping new immigrants' month-bymonth employment trajectories over their first 4 years of settlement.We treat trajectories as multidimensional and holistic entities, seeking to predict the correlates of a set of typical pathways identified via optimal matching techniques and cluster analysis. Human capital attributes and household context shapes trajectories in important ways, but patterns related to bias and discrimination are not straightforward and social ties have little impact.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0197-9183
fulltext: fulltext
issn:
  • 0197-9183
  • 1747-7379
url: Link


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descriptionDrawing on data from the Longitudinal Survey of Immigrants to Canada, we analyze factors shaping new immigrants' month-bymonth employment trajectories over their first 4 years of settlement.We treat trajectories as multidimensional and holistic entities, seeking to predict the correlates of a set of typical pathways identified via optimal matching techniques and cluster analysis. Human capital attributes and household context shapes trajectories in important ways, but patterns related to bias and discrimination are not straightforward and social ties have little impact.
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subjectBias ; Canada ; Cluster Analysis ; Correlation analysis ; Discrimination ; Employment ; Employment discrimination ; Households ; Human Capital ; Immigrant adaptation ; Immigrants ; International migration ; Labor markets ; Labour migration ; Men ; Noncitizens ; Resettlement ; Reviews ; Self employment ; Social integration ; Social Networks ; Spouses ; Trajectories ; Working women
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19Social integration
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21Spouses
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notesThe authors thank Neil Gross, Minelle Mahtani, Leah Vosko, and Rima Wilkes for their helpful comments and suggestions. This research was supported by the Social Sciences and Humanities Research Council of Canada.
abstractDrawing on data from the Longitudinal Survey of Immigrants to Canada, we analyze factors shaping new immigrants' month-bymonth employment trajectories over their first 4 years of settlement.We treat trajectories as multidimensional and holistic entities, seeking to predict the correlates of a set of typical pathways identified via optimal matching techniques and cluster analysis. Human capital attributes and household context shapes trajectories in important ways, but patterns related to bias and discrimination are not straightforward and social ties have little impact.
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doi10.1111/j.1747-7379.2012.00883.x
tpages51