publication . Preprint . Report . 2008

Part-Time Sick Leave as a Treatment Method?

Andrén, Daniela; Andrén, Thomas;
Open Access
  • Published: 09 Oct 2008
  • Country: Sweden
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.
Subjects
free text keywords: part-time sick leave, selection, unobserved heterogeneity, treatment effects, part-time sick leave, selection, unobserved heterogeneity, treatment effects, jel:I12, jel:J21, jel:J28
Related Organizations

Aakvik, A., Heckman, J. J., & Vytlacil, E. J. (2005). Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs. Journal of Econometrics, 125 (1-2), 15-51.

Englund, L., & Svärdsudd, K. (2000). Sick-listing habits among general practitioners in a Swedish county. Scandinavian Journal of Primary Health Care, 18 (2), 81-86.

Frölich, M., Heshmati, A., & Lechner, M. (2004). A microeconometric evaluation of rehabilitation of long-term sickness in Sweden. Journal of Applied Econometrics 19 (3), 375-396. [OpenAIRE]

Heckman, J. J. (1978). Dummy Endogenous Variables in a Simultaneous Equation System. Econometrica, 46 (4), 931-959. [OpenAIRE]

Heckman, J. J. (1979). Sample Selection Bias as a Specification Error. Econometrica, 47 (1), 153-161.

Heckman, J. (1981). The incidental parameters problem and the problem of initial conditions in estimating a discrete time-discrete data stochastic process. in C. Manski, D. & McFadden, Editors, Structural Analysis of Discrete Data with Econometric Applications. Cambridge, MA: MIT Press, 179-195.

Heckman, J., & Singer, B. (1984). A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data. Econometrica, 52 (2), 271-320. [OpenAIRE]

Hensing, G., Timpka, T., & Alexanderson, K. (1997). Dilemmas in the daily work of social insurance officers. Scandinavian Journal of Social Welfare , 6, 301-309. l

ady 327 473 273 383 108 827 912 700 395 741 217 358 331 545 679 938 385 476 732 826 759 921 368 712 469 815 .074 leev 042 .61 .-70 .00 .-30 .-80 .-40 .-20 .-20 .-30 .-10 .40 .00 .-20 .-50 .-50 .-01 .-61 .-21 .-71 .-80 .-30 .-20 .60 .30 -82 0% 1

Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue