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

No 2009:13, Working Papers from Örebro University, School of Business

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.

Keywords: part-time sick leave; discrete choice model; selection; unobserved heterogeneity. (search for similar items in EconPapers)
JEL-codes: I12 J21 J28 (search for similar items in EconPapers)
Pages: 9 pages
Date: 2009-10-13
New Economics Papers: this item is included in nep-dcm, nep-hea and nep-lab
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.oru.se/globalassets/oru-sv/institution ... s2009/wp-13-2009.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hhs:oruesi:2009_013

Access Statistics for this paper

More papers in Working Papers from Örebro University, School of Business Örebro University School of Business, SE - 701 82 ÖREBRO, Sweden. Contact information at EDIRC.
Bibliographic data for series maintained by ().