Part-Time Sick Leave as a Treatment Method?
AbstractThis 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.
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Bibliographic InfoPaper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 09/01.
Date of creation: Jan 2009
Date of revision:
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part-time sick leave; selection; unobserved heterogeneity; treatment effects;
Other versions of this item:
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-01-17 (All new papers)
- NEP-DCM-2009-01-17 (Discrete Choice Models)
- NEP-HEA-2009-01-17 (Health Economics)
- NEP-LAB-2009-01-17 (Labour Economics)
- NEP-LTV-2009-01-17 (Unemployment, Inequality & Poverty)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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