瑞典劳动力市场培训和失业持续期 Swedish Labor Market Training  and the Duration of Unemployment How Human Resource Managemen_论文代写ABSTRACT
 The vocational employment training program is the most ambitious and expensive training program in Sweden and a cornerstone of labor market policy. We analyze causal effects on the individual transition rate from unemployment to employment by exploiting variation in the timing of treatment and outcome, dealing with selectivity on unobservables. We demonstrate the appropriateness of this approach in our context by studying the assignment. We also develop a model allowing for duration dependence and unobserved heterogeneity (leading to spurious duration dependence) in the treatment effect, and we prove non-parametric identification. The data cover the population and include multiple unemployment spells for many individuals. The results indicate a large significantly positive effect on exit to work shortly after exiting the program. The effect at the individual level diminishes after some weeks. When taking account of the time spent in the program, the effect on the mean unemployment duration is often close to zero.

 Keywords:  vocational training, program evaluation, duration analysis, selectivity bias, treatment effect, duration dependence, identification

1 Introduction
2 Labor market training in Sweden
2.1 The AMU program
2.2 The training enrolment process at the individual level
3 The model framework
3.1 A class of bivariate duration models for treatment evaluation
3.2 Identification of models with duration dependence and un-
observed heterogeneity in the treatment effect
3.3 Implicit assumptions in the model specifications
3.4 Applicability of the model framework to AMU
4 The data
4.1 Data registers and unemployment spells
4.2 Descriptive statistics
5 The empirical analysis
5.1 Parameters
5.2 Estimation results for the basic model
5.3 Duration dependence and unobserved heterogeneity of the
treatment effect on the individual transition rate to work
5.4 Interpretation of the treatment-effect estimates
5.5 Time in training
5.6 Participation in other programs
6 Conclusions

Appendix.Proof of Proposition 1

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