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Why do tougher caseworkers increase employment? : the role of programme assignment as a causal mechanism
Huber, Martin; Lechner, Michael; Mellace, Giovanni - 2014
Persistent link: https://www.econbiz.de/10010437535
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Decomposing a matching estimation : correlated unobserved non-random selection, substitution, and causal effects in a large scale ALMP Program in Germany ; conference paper
Brändle, Tobias; Fervers, Lukas; Webel, Carina - 2014 - Preliminary version
perform matching estimations to analyse the treatment effect on the treated. In the cross-section estimation, we find …-participants. Therefore, we combine matching with difference-in-difference estimation (to control for unobserved heterogeneity), Doing so, we … matching estimation can be decomposed into a causal effect (6%-points), correlated unobserved heterogeneity and negative spill …
Persistent link: https://www.econbiz.de/10010487257
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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 … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …
Persistent link: https://www.econbiz.de/10012060603
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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
Propensity Score Matching-Schätzer sind ein zentrales Tool, um Wirkungen aktiver Arbeitsmarktpolitik mit …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 …
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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Semiparametric instrumental variable estimation of treatment response models
Abadie, Alberto - In: Journal of econometrics 113 (2003) 2, pp. 231-263
Persistent link: https://www.econbiz.de/10001738895
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Semiparametric estimation of instrumental variable models for causal effects
Abadie, Alberto - 2000
Persistent link: https://www.econbiz.de/10001512768
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Causal effects of monetary shocks : semiparametric conditional independence tests with a multinomial propensity score
Angrist, Joshua D. (contributor);  … - 2008
Macroeconomists have long been concerned with the causal effects of monetary policy. When the identification of causal effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes and policy changes. This paper develops a...
Persistent link: https://www.econbiz.de/10003739948
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Identifying treatment effects under data combination
Fan, Yanqin; Sherman, Robert P.; Shum, Matthew - In: Econometrica : journal of the Econometric Society, an … 82 (2014) 2, pp. 811-822
Persistent link: https://www.econbiz.de/10010404416