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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; … - In: Labour economics : official journal of the European … 65 (2020)

Persistent link: https://www.econbiz.de/10012522902

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

Impact evaluation of business development grants on SME performance

Srhoj, Stjepan; Lapinski, Michal; Walde, Janette - In: Small business economics : an international journal 57 (2021) 3, pp. 1285-1301

Persistent link: https://www.econbiz.de/10012660855

Chapter 60 Evaluating Social Programs with Endogenous Program Placement and Selection of the Treated

Todd, Petra E. - In: Handbook of development economics : volume 4, (pp. 3847-3894). 2007

discussed: traditional regression methods, matching, control function methods, instrumental variable and local instrumental …

Persistent link: https://www.econbiz.de/10014024660

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

Latent variables and propensity score matching : a simulation study with application to data from the Programme for International Student Assessment in Poland

Jakubowski, Maciej - In: Empirical economics : a journal of the Institute for … 48 (2015) 3, pp. 1287-1325

Persistent link: https://www.econbiz.de/10011304080

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