Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/170945 
Year of Publication: 
2017
Series/Report no.: 
IZA Discussion Papers No. 10961
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
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.
Subjects: 
machine learning
individualized treatment effects
conditional average treatment effects
active labour market policy
JEL: 
J68
H43
C21
Document Type: 
Working Paper

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