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How to evaluate the impact of part-time sick leave on the probability of recovering

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Author Info

  • Andrén, Daniela

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

Abstract

This paper presents an econometric framework for analyzing part-time sick leave as a treatment method. We exemplify how the discrete choice one-factor model can address the importance of controlling for unobserved heterogeneity in understanding the selection into part-time/full-time sick leave and the probability to fully recover from a reduced work capacity. The results indicate that part-time sick listing increases the probability to recover compared to full-time sick listing when the expected time to recover is longer than 120 days.

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File URL: http://www.oru.se/PageFiles/16759/WP%2013%2009.pdf
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Bibliographic Info

Paper provided by Örebro University, School of Business in its series Working Papers with number 2009:13.

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Length: 9 pages
Date of creation: 13 Oct 2009
Date of revision:
Handle: RePEc:hhs:oruesi:2009_013

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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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Related research

Keywords: part-time sick leave; discrete choice model; selection; unobserved heterogeneity.;

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  1. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  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.
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