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Starting Sick Leave on Part-Time as a Treatment Method?

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  • Andrén, Daniela

    ()
    (Department of Business, Economics, Statistics and Informatics)

  • Thomas, Andrén

    ()
    (Konjunkturinstitutet)

Abstract

This paper analyzes the effects of starting the sick leave on part-time compared to fulltime on the probability to recover (i.e., return 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 indicate that part-time sick leave is not an intensive treatment and should not to be used for all from the very beginning of a case. However, when the output is analyzed for time spans longer than three months, the average probability to recover is higher for those who started on part time sick leave. Besides, the share of individuals who are positive indifferent between the two states is large (above 50%), which suggests that there is potential for increasing the share

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Bibliographic Info

Paper provided by Örebro University, School of Business in its series Working Papers with number 2009:10.

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Length: 24 pages
Date of creation: 17 Aug 2009
Date of revision:
Handle: RePEc:hhs:oruesi:2009_010

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Postal: Örebro University School of Business, SE - 701 82 ÖREBRO, Sweden
Phone: 019-30 30 00
Fax: 019-33 25 46
Web page: http://www.oru.se/Institutioner/Handelshogskolan-vid-Orebro-universitet/
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Keywords: part-time sick leave; selection; unobserved heterogeneity; treatment effects;

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  1. Heshmati, Almas & Engström, Lars-Gunnar, 1999. "Estimating the Effects of Vocational Rehabilitation Programs in Sweden," Working Paper Series in Economics and Finance 293, Stockholm School of Economics, revised 07 May 1999.
  2. 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.
  3. James J. Heckman, 1977. "Dummy Endogenous Variables in a Simultaneous Equation System," NBER Working Papers 0177, National Bureau of Economic Research, Inc.
  4. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  5. 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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