Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach

Michael Knaus, Michael Lechner, Anthony Strittmatter

arXiv 29 Sep 2017 · Econometrics · 32 citations (OpenAlex)

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.

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arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

	Citing paper	Intensity	Mentions	Sections
1	Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance	0.405	1	1
2	Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach	0.405	1	1