How to evaluate the impact of part-time sick leave on the probability of recovering
AbstractThis 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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Bibliographic InfoPaper provided by Örebro University, School of Business in its series Working Papers with number 2009:13.
Length: 9 pages
Date of creation: 13 Oct 2009
Date of revision:
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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/
More information through EDIRC
part-time sick leave; discrete choice model; selection; unobserved heterogeneity.;
Find related papers by JEL classification:
- I12 - Health, Education, and Welfare - - Health - - - Health Production
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-10-17 (All new papers)
- NEP-DCM-2009-10-17 (Discrete Choice Models)
- NEP-HEA-2009-10-17 (Health Economics)
- NEP-LAB-2009-10-17 (Labour Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Heckman, James J, 1979.
"Sample Selection Bias as a Specification Error,"
Econometric Society, vol. 47(1), pages 153-61, January.
- 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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