Abstract
AbstractCase managers provide individual and comprehensive support to employees who have become incapable of working. Using data from a large insurance company we find that overall, 43.9% of the people in our sample could be reintegrated. Controlling for personal characteristics, we analyze the effectiveness of case management by modelling the probability of reintegrating people being incapable of working into the labor market. Using parametric and semiparametric decomposition methods, we control for observational differences. We analyze how much of the difference in the reintegration rate between people who participate in case management and those who do not, is due to differences in characteristics and how much is due to case management itself. We find that the estimated probability of reintegration is 18.9% higher if people participate in case management. Moreover, our results show that no more than 15% are due to differences in characteristics and at least 85% can be attributed to case management itself.
Publisher
Springer Science and Business Media LLC
Reference54 articles.
1. Abadie, A., Imbens, G.: Large sample properties of matching estimators for average treatment effects. Econometrica 74(1), 235–267 (2006)
2. Bauer, T., Sinning, M.: An extension of the Blinder-Oaxaca decomposition to nonlinear models. AStA Adv. Stat> Anal. 92(2), 197–206 (2008)
3. Blinder, A.: Wage discrimination: reduced form and structural estimates. J. Hum. Resour. 8(4), 436–455 (1973)
4. Burkhauser, R.V., Daly, M.C., Ziebarth, N.R.: Protecting working-age people with disabilities: experiences of four industrialized nations. J. Labour Mark. Res. 49(4), 367–386 (2016)
5. Busso, M., DiNardo, J., McCrary J. Finite sample properties of semiparametric estimators of average treatment effects. Unpublished manuscript, University of Michigan and University of Californa–Berkeley (2008).