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Part-Time Sick Leave as a Treatment Method?

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  • Andrén D
  • Andrén T

Abstract

This paper analyzes the effects of being on part-time sick leave compared to full-time sick leave on the probability of recovering (i.e., returning to work with full recovery of lost work capacity). Using a discrete choice one-factor model, we estimate mean treatment parameters and distributional treatment parameters from a common set of structural parameters. Our results show that part-time sick leave increases the likelihood of recovering and dominates full-time sick leave for sickness spells of 150 days or longer. For these long spells, the probability of recovering increases by 10 percentage points.

Suggested Citation

  • Andrén D & Andrén T, 2009. "Part-Time Sick Leave as a Treatment Method?," Health, Econometrics and Data Group (HEDG) Working Papers 09/01, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:09/01
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    References listed on IDEAS

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    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Markus Frölich & Almas Heshmati & Michael Lechner, 2004. "A microeconometric evaluation of rehabilitation of long-term sickness in Sweden," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 375-396.
    3. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Heshmati, Almas & Engström, Lars-Gunnar, 1999. "Estimating the Effects of Vocational Rehabilitation Programs in Sweden," SSE/EFI Working Paper Series in Economics and Finance 293, Stockholm School of Economics, revised 10 Sep 1999.
    6. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
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    More about this item

    Keywords

    part-time sick leave; selection; unobserved heterogeneity; treatment effects;
    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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