Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/244473 
Year of Publication: 
2011
Series/Report no.: 
Working Paper No. 5/2011
Publisher: 
Örebro University School of Business, Örebro
Abstract: 
Using a discrete choice one-factor model, we estimate mean treatment parameters and distributional treatment parameters to analyze the effects of degree of sick leave on the probability of full recovery of lost work capacity for employed and unemployed individuals, respectively. Our results indicate that one year after the sick leave spell started, the average potential impact of part-time sick listing on an individual randomly chosen from the population on sick leave was positive for both groups, but the average effect on those who actually were on part-time sick leave was positive only for the employed, and negative for the unemployed.
Subjects: 
unemployed
part-time sick leave
selection
unobserved heterogeneity
treatment effects
JEL: 
I12
J21
J28
Document Type: 
Working Paper

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