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Sequential matching estimation of dynamic causal models
Lechner, Michael (contributor) - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001943994
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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 - 2013
A comparison of hazard rates of duration outcomes before and after policy changes is hampered by non-identification if there is unobserved heteogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that overcomes this by exploiting variation in the moment...
Persistent link: https://www.econbiz.de/10010187954
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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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Identification and estimation of distributional impacts of interventions using changes in inequality measures
Firpo, Sérgio Pinheiro - 2010
This paper presents semiparametric estimators of distributional impacts of interventions (treatment) when selection to the program is based on observable characteristics. Distributional impacts of a treatment are calculated as differences in inequality measures of the potential outcomes of...
Persistent link: https://www.econbiz.de/10003944723
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Treatment effects and panel data
Lechner, Michael - 2013
Persistent link: https://www.econbiz.de/10010242949
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Programme evaluation with multiple treatments
Frölich, Markus - 2002
Persistent link: https://www.econbiz.de/10001691476
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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