Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed

Daniel Goller, Michael Lechner, Andreas Moczall, Joachim Wolff

Year of publication:	2019
Authors:	Goller, Daniel ; Lechner, Michael ; Moczall, Andreas ; Wolff, Joachim
Publisher:	St. Gallen : School of Economics and Political Science, Department of Economics, University of St.Gallen
Subject:	Programme evaluation \| active labour market policy \| causal machine learning \| treatment effects \| radius matching \| propensity score \| Arbeitsmarktpolitik \| Labour market policy \| Deutschland \| Germany \| Kausalanalyse \| Causality analysis \| Wirkungsanalyse \| Impact assessment \| Künstliche Intelligenz \| Artificial intelligence \| Matching \| Schätztheorie \| Estimation theory \| Langzeitarbeitslosigkeit \| Long-term unemployment \| Mikroökonometrie \| Microeconometrics \| Schätzung \| Estimation