Daniela Andrén ()
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Daniela Andrén: Department of Business, Economics, Statistics and Informatics, Postal: Örebro University, Swedish Business School, SE - 701 82 ÖREBRO, Sweden
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.
9 pages, October 13, 2009
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wp-13-2009.pdf
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