Document Detail


The impact of downsizing on remaining workers' sickness absence.
MedLine Citation:
PMID:  20728975     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
It is generally assumed that organizational downsizing has considerable negative consequences, not only for workers that are laid off, but also for those who remain employed. The empirical evidence with regard to effects on sickness absence is, however, inconsistent. This study employs register data covering a major part of the total workforce in Norway over the period 2000-2003. The number of sickness absence episodes and the number of sickness absence days are analysed by means of Poisson regression. To control for both observed and unobserved stable individual characteristics, we use conditional (fixed effects) estimation. The analyses provide some weak indications that downsizing may lead to slightly less sickness absence, but the overall impression is that downsizing has few if any effects on the sickness absence of the remaining employees.
Authors:
Ståle Østhus; Arne Mastekaasa
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-08-11
Journal Detail:
Title:  Social science & medicine (1982)     Volume:  71     ISSN:  1873-5347     ISO Abbreviation:  Soc Sci Med     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-20     Completed Date:  2010-11-03     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8303205     Medline TA:  Soc Sci Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  1455-62     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Sociology and Human Geography, University of Oslo, Boks 1096 Blindern, 0317 Oslo, Norway. stale.osthus@sosgeo.uio.no
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MeSH Terms
Descriptor/Qualifier:
Absenteeism*
Adult
Employment / organization & administration,  statistics & numerical data
Female
Humans
Male
Middle Aged
Norway
Personnel Downsizing / psychology*
Sick Leave / statistics & numerical data*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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