Titelaufnahme

Titel
Heterogeneous employment effects of job search programmes : a machine learning approach / Michael C. Knaus (SEW, University of St. Gallen and IZA), Michael Lechner (SEW, University of St. Gallen, CEPR, CESifo, IAB and IZA), Anthony Strittmatter (SEW, University of St. Gallen) ; IZA Institute of Labor Economics
VerfasserKnaus, Michael C. In der Gemeinsamen Normdatei der DNB nachschlagen ; Lechner, Michael In der Gemeinsamen Normdatei der DNB nachschlagen ; Strittmatter, Anthony In der Gemeinsamen Normdatei der DNB nachschlagen
KörperschaftForschungsinstitut zur Zukunft der Arbeit In der Gemeinsamen Normdatei der DNB nachschlagen
ErschienenBonn, Germany : IZA Institute of Labor Economics, August 2017
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Elektronische Ressource
Umfang1 Online-Ressource (77 Seiten) : Diagramme
SerieDiscussion paper ; no. 10961
URNurn:nbn:de:hbz:5:2-137081 Persistent Identifier (URN)
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Heterogeneous employment effects of job search programmes [3.44 mb]
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Zusammenfassung

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.