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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

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 … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …Propensity Score Matching-Schätzer sind ein zentrales Tool, um Wirkungen aktiver Arbeitsmarktpolitik mit …

Persistent link: https://www.econbiz.de/10012165548

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/10012060603

Goodbye smokers' corner : health effects of school smoking bans

Pfeifer, Gregor; Stockburger, Mirjam; Strohmaier, Kristina - 2017

We estimate the causal impact of school smoking bans in Germany on the propensity and intensity of smoking. Using …Wir untersuchen die kausalen Auswirkungen des Rauchverbots an Schulen in Deutschland auf die Wahrscheinlichkeit zu …

Persistent link: https://www.econbiz.de/10011612562

Size matters? : impact evaluation of business development grants on SME performance

Srhoj, Stjepan; Lapinski, Michael; Walde, Janette - 2019

Many international organisations emphasize the need of public grant schemes evaluations. An evaluation provides the opportunity to assess the socio-economic impact achieved by the grant and allows for a refinement of such policy instruments in order to make public funding more effective in...

Persistent link: https://www.econbiz.de/10012030544

Long-run effects of dynamically assigned treatments : a new methodology and an evaluation of training effects on earnings

Berg, Gerard J. van den; Vikström, Johan - 2019

We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual...

Persistent link: https://www.econbiz.de/10012052339

Long-run effects of dynamically assigned treatments : a new methodology and an evaluation of training effects on earnings

Berg, Gerard J. van den; Vikström, Johan - 2019

Persistent link: https://www.econbiz.de/10012035113

Evaluation of sequences of treatments with application to active labor market policies

Vikström, Johan - 2015

This paper proposes a new framework for analyzing the effects of sequences of treatments with duration outcomes. Applications include sequences of active labor market policies assigned at specific unemployment durations and sequences of medical treatments. We consider evaluation under...

Persistent link: https://www.econbiz.de/10010530524

Identification and estimation of causal effects of multiple treatments under the conditional independence assumption

Lechner, Michael - 1999

the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …

Persistent link: https://www.econbiz.de/10011317474

The finite sample performance of inference methods for propensity score matching and weighting estimators

Bodory, Hugo; Camponovo, Lorenzo; Huber, Martin; … - 2016

Persistent link: https://www.econbiz.de/10011717677