Abstract:
This paper analyzes the effects of being on part-time sick leave compared to full-time sick leave on the probability of recovering (i.e., returning to work with full recovery of lost work capacity). Using a discrete choice one-factor model, we estimate mean treatment parameters and distributional treatment parameters from a common set of structural parameters. Our results show that part-time sick leave increases the likelihood of recovering and dominates full-time sick leave for sickness spells of 150 days or longer. For these long spells, the probability of recovering increases by 10 percentage points.
More papers in Working Papers in Economics from Göteborg University, Department of Economics Address: Department of Economics, School of Business, Economics and Law, Göteborg University Box 640, SE 405 30 GÖTEBORG, Sweden Contact information at EDIRC. Series data maintained by Jens Anmark ().
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