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"To array a man's will against his sickness is the supreme art of medicine". An analysis of multiple spells of sickness

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Author Info
Andrén, Daniela () (Department of Economics, School of Business, Economics and Law, Göteborg University)

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Abstract

This paper analyzes the long-term sickness absences in Sweden using a longitudinal database that contains all compensated sickness spells for 2,789 persons during 1986-1991. Given the political focus on the improved collaboration between the individual, physician, employer, and social insurance officer, the strategy is to analyze the spells of long-term sickness grouping them by all available factors that concern these actors. The estimates of a mixed proportional hazards model suggest that there was more heterogeneity among spells grouped by the factors related to the health status of the individual and the physician's evaluation than among spells grouped by the factors expected to be related to the social insurance praxis or other sorting processes.

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File URL: http://hdl.handle.net/2077/9632
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Publisher Info
Paper provided by Göteborg University, Department of Economics in its series Working Papers in Economics with number 294.

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Length: 32 pages
Date of creation: 06 Mar 2008
Date of revision:
Handle: RePEc:hhs:gunwpe:0294

Contact details of provider:
Postal: Department of Economics, School of Business, Economics and Law, Göteborg University Box 640, SE 405 30 GÖTEBORG, Sweden
Phone: 031-773 10 00
Web page: http://www.handels.gu.se/econ/
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Related research
Keywords: sick leave long-term sickness multiple spells mixed proportional hazards model

Find related papers by JEL classification:
I12 - Health, Education, and Welfare - - Health - - - Health Production
J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy

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This page was last updated on 2008-7-20.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.