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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

Author

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  • Andrén, Daniela

    (Department of Economics, School of Business, Economics and Law, Göteborg University)

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.

Suggested Citation

  • Andrén, Daniela, 2008. ""To array a man's will against his sickness is the supreme art of medicine". An analysis of multiple spells of sickness," Working Papers in Economics 294, University of Gothenburg, Department of Economics.
    • Handle: RePEc:hhs:gunwpe:0294
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    File URL: http://hdl.handle.net/2077/9632
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    References listed on IDEAS

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    1. Andrea Ichino & Giovanni Maggi, 2000. "Work Environment and Individual Background: Explaining Regional Shirking Differentials in a Large Italian Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 1057-1090.
    2. Devine, Theresa J. & Kiefer, Nicolas M., 1991. "Empirical Labor Economics: The Search Approach," OUP Catalogue, Oxford University Press, number 9780195059366.
    3. Maarten Lindeboom & Marcel Kerkhofs, 2000. "Multistate Models For Clustered Duration Data - An Application To Workplace Effects On Individual Sickness Absenteeism," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 668-684, November.
    4. J. Heckman & B. Singer, 1984. "The Identifiability of the Proportional Hazard Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(2), pages 231-241.
    5. Bo E. Honoré, 1993. "Identification Results for Duration Models with Multiple Spells," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 241-246.
    6. Johansson, Per & Palme, Marten, 2005. "Moral hazard and sickness insurance," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1879-1890, September.
    7. Daniela Andren, 2005. "'Never on a Sunday': Economic incentives and short-term sick leave in Sweden," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 327-338.
    8. Fenn, Paul T, 1981. "Sickness Duration, Residual Disability, and Income Replacement: An Empirical Analysis," Economic Journal, Royal Economic Society, vol. 91(361), pages 158-173, March.
    9. Chris Elbers & Geert Ridder, 1982. "True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 403-409.
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    More about this item

    Keywords

    sick leave; long-term sickness; multiple spells; mixed proportional hazards model;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • 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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