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Subsidies for substitutes? : new evidence on deadweight loss and substitution effects of a wage subsidy for hard-to-place job-seekers
Moczall, Andreas - 2013
This paper estimates substitution effects of the German active labour market programme "JobPerspektive", a wage subsidy for hard-to-place welfare recipients. Using a novel panel of the entire population of German establishments with full information on unsubsidized and subsidized employment,...
Persistent link: https://www.econbiz.de/10009745165
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Sanktionen im SGB II und die Situation von Leistungsbeziehern nach den Hartz-Reformen : öffentliche Anhörung von Sachverständigen vor dem Ausschuss für Arbeit und Soziales des Deutschen Bundestags am 29. Juni 2015
Vom Berge, Philipp; Bruckmeier, Kerstin; Heining, Jörg; … - 2015
In dieser Stellungnahme äußert sich das IAB zu den Anträgen der Bundestagsfraktion Die Linke: "Gute Arbeit und eine sanktionsfreie Mindestsicherung statt Hartz IV" (Bundestagsdrucksache 18/3549) und "Sanktionen bei Hartz IV und Leistungseinschränkungen bei der Sozialhilfe abschaffen"...
Persistent link: https://www.econbiz.de/10011286442
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Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germany's Programmes for Long Term Unemployed
Goller, Daniel - 2019
Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...
Persistent link: https://www.econbiz.de/10012863828
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Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2019
Persistent link: https://www.econbiz.de/10012098947
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Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2020
Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...
Persistent link: https://www.econbiz.de/10012165548
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Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - In: Labour economics : official journal of the European … 65 (2020)
Persistent link: https://www.econbiz.de/10012522902
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Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2019
Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...
Persistent link: https://www.econbiz.de/10012060603