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Coworkers, Networks, and Job-Search Outcomes among Displaced Workers

Bibliographic Data

ID3352434
AuthorsPerihan Ozge Saygin (0000-0002-3777-2974), Andrea Weber (0000-0001-8444-4538), Michèle A Weynandt (Perihan Ozge Saygin is a Lecturer in the Department of Economics at the University of Florida. Andrea Weber is a Professor at the Central European University and a Research Fellow at both CEPR and IZA Bonn. Michèle A. Weynandt is a Change Manager/Project Lead at SAP; at the time this article was written, she was a PhD student at University of Mannheim)
Year2021
Volume74
Issue1
Pages95-130
Publication date2021-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIndustrial and Labor Relations Review (JOURNAL)
Journal identifiersISSN: 0019-7939 • E-ISSN: 2162-271X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0019793919881988
OpenAlexW2979662177
LanguageEN
Citations received7
References cited36

This article examines the mechanisms by which social networks affect the labor market outcomes of displaced workers. The authors draw on administrative records for the universe of private-sector employment in Austria to identify work-related networks among former coworkers. They analyze the importance of social networks for both job seekers and hiring firms. For job seekers, results indicate that having a high share of former coworkers who are currently employed in expanding firms improves job-finding success. For firms seeking to hire new employees, the authors find that a firm is twice as likely to hire a displaced worker with a former-coworker link to one of their current employees than to hire a worker displaced from the same closing firm but without a link. These results suggest that information about job opportunities and demand-side conditions is transmitted in work-related networks between workers and firms

Affect (linguistics) · Business · Closing (real estate) · Demographic economics · Economics · Labour economics · Political science · Seekers · Work (physics) · Employment and Welfare Studies · Engineering · Labor market dynamics and wage inequality · Marketing · Migration and Labor Dynamics · Psychology

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Unique citing works7
Citations per year1,17
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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