Part-Time Sick Leave as a Treatment Method?
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.
|Date of creation:||Jan 2009|
|Date of revision:|
|Contact details of provider:|| Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom|
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- Markus Frölich & Almas Heshmati & Michael Lechner, 2004.
"A microeconometric evaluation of rehabilitation of long-term sickness in Sweden,"
Journal of Applied Econometrics,
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- 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.
- 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.
- Heckman, James, 2013.
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NBER Working Papers
0177, National Bureau of Economic Research, Inc.
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- 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.
- 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.
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