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Part-Time Sick Leave as a Treatment Method?

  • Andrén, Daniela

    ()

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

  • Andrén, Thomas

    ()

    (National Institute of Economic Research)

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.

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File URL: http://hdl.handle.net/2077/18316
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Paper provided by University of Gothenburg, Department of Economics in its series Working Papers in Economics with number 320.

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Length: 32 pages
Date of creation: 09 Oct 2008
Date of revision:
Handle: RePEc:hhs:gunwpe:0320
Contact details of provider: Postal: Department of Economics, School of Business, Economics and Law, University of Gothenburg, Box 640, SE 405 30 GÖTEBORG, Sweden
Phone: 031-773 10 00
Web page: http://www.handels.gu.se/econ/

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  1. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  2. James J. Heckman, 1977. "Dummy Endogenous Variables in a Simultaneous Equation System," NBER Working Papers 0177, National Bureau of Economic Research, Inc.
  3. Frölich, Markus & Heshmati, Almas & Lechner, Michael, 2000. "A Microeconometric Evaluation of Rehabilitation of Long-term Sickness in Sweden," SSE/EFI Working Paper Series in Economics and Finance 373, Stockholm School of Economics, revised 03 Apr 2000.
  4. 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.
  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 07 May 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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