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Dynamic treatment assignment : the consequences for evaluations using observational data
Fredriksson, Peter (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001953314
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Policy discontinuity and duration outcomes
Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - 2015
Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10010530519
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Policy discontinuity and duration outcomes
Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - 2014
Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10010403911
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Policy discontinuity and duration outcomes
Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - 2018
Causal effects of a policy change on the hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change when there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10011817634
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Policy discontinuity and duration outcomes
Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - In: Quantitative economics : QE ; journal of the … 11 (2020) 3, pp. 871-916
Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10012315701
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Nonparametric instrumental variable methods for dynamic treatment evaluation
Berg, Gerard J. van den; Bonev, Petyo; Mammen, Enno - 2016
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure. We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...
Persistent link: https://www.econbiz.de/10011453442
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Nonparametric instrumental variable methods for dynamic treatment evaluation
Berg, Gerard J. van den; Bonev, Petyo; Mammen, Enno - 2016
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure.We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...
Persistent link: https://www.econbiz.de/10011492188
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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