Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/244453 
Year of Publication: 
2009
Series/Report no.: 
Working Paper No. 13/2009
Publisher: 
Örebro University School of Business, Örebro
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.
Subjects: 
part-time sick leave
discrete choice model
selection
unobserved heterogeneity
JEL: 
I12
J21
J28
Document Type: 
Working Paper

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