Andrén, Daniela () (Department of Business, Economics, Statistics and Informatics)
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.
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Publisher Info
Paper provided by Örebro University, Swedish Business School in its series Working Papers with number
2009:13.
Find related papers by JEL classification: I12 - Health, Education, and Welfare - - Health - - - Health Production J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
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