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

Daniela Andrén ()

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)
New Economics Papers: this item is included in nep-dcm, nep-hea and nep-lab
Date: 2009-10-13
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Persistent link: http://EconPapers.repec.org/RePEc:hhs:oruesi:2009_013

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