TY  - RPRT
        AU  - Knaus, Michael C.
AU  - Lechner, Michael
AU  - Strittmatter, Anthony
        TI  - Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach
        PY  - 2017/Aug/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 10961
        UR  - https://www.iza.org/publications/dp10961
        AB  - We systematically investigate the effect heterogeneity of job search programmes for unemployed workers. To investigate possibly heterogeneous employment effects, we combine non-experimental causal empirical models with Lasso-type estimators. The empirical analyses are based on rich administrative data from Swiss social security records. We find considerable heterogeneities only during the first six months after the start of training. Consistent with previous results of the literature, unemployed persons with fewer employment opportunities profit more from participating in these programmes. Furthermore, we also document heterogeneous employment effects by residence status. Finally, we show the potential of easy-to-implement programme participation rules for improving average employment effects of these active labour market programmes.
        KW  - conditional average treatment effects
KW  - individualized treatment effects
KW  - machine learning
KW  - active labour market policy
        ER  -