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Non-parametric inference for the effect of a treatment on survival times with application in the health and social sciences
Luna, Xavier de; Johansson, Per - 2009
In this paper we perform inference on the effect of a treatment on survival times in studies where the treatment assignment is not randomized and the assignment time is not known in advance. Two such studies are discussed: a heart transplant program and a study of Swedish unemployed eligible for...
Persistent link: https://www.econbiz.de/10010269367
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Quantile treatment effects in the regression discontinuity design: Process results and gini coefficient
Frölich, Markus; Melly, Blaise - 2010
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10010269846
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Identification and estimation of causal mechanisms and net effects of a treatment under unconfoundedness
Flores, Carlos A.; Flores-Lagunes, Alfonso - 2009
An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...
Persistent link: https://www.econbiz.de/10010269294
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A Permutation Test and Estimation Alternatives for the Regression Kink Design
Ganong, Peter; Jäger, Simon - 2014
The Regression Kink (RK) design is an increasingly popular empirical method, with more than 20 studies circulated using RK in the last 5 years since the initial circulation of Card, Lee, Pei and Weber (2012). We document empirically that these estimates, which typically use local linear...
Persistent link: https://www.econbiz.de/10010398301
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A Permutation Test and Estimation Alternatives for the Regression Kink Design
Ganong, Peter; Jäger, Simon - Institute for the Study of Labor (IZA) - 2014
The Regression Kink (RK) design is an increasingly popular empirical method, with more than 20 studies circulated using RK in the last 5 years since the initial circulation of Card, Lee, Pei and Weber (2012). We document empirically that these estimates, which typically use local linear...
Persistent link: https://www.econbiz.de/10010790521
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Non-Parametric Inference for the Effect of a Treatment on Survival Times with Application in the Health and Social Sciences
de Luna, Xavier; Johansson, Per - Institute for the Study of Labor (IZA) - 2009
In this paper we perform inference on the effect of a treatment on survival times in studies where the treatment assignment is not randomized and the assignment time is not known in advance. Two such studies are discussed: a heart transplant program and a study of Swedish unemployed eligible for...
Persistent link: https://www.econbiz.de/10005233824
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Treatment evaluation in the case of interactions within markets
Ferracci, Marc; Jolivet, Grégory; van den Berg, Gerard J. - 2010
within the market, averaged over the full population, we develop an identification and estimation method in two steps. The …
Persistent link: https://www.econbiz.de/10010277334
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Nonparametric IV Estimation of Local Average Treatment Effects with Covariates
Frölich, Markus - 2002
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to … incorporate confounding covariates. Estimation of local average treatment effects is appealing since their identification relies … variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is …
Persistent link: https://www.econbiz.de/10010262665
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Misspecification testing in a class of conditional distributional models
Rothe, Christoph; Wied, Dominik - 2012
We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...
Persistent link: https://www.econbiz.de/10010282420
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Dynamic Treatment Assignment : The Consequences for Evaluations Using Observational Data
Fredriksson, Peter; Johansson, Per - 2004
This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that the duration framework in discrete time provides a fertile ground for effect evaluations. We suggest easy-to-use nonparametric survival function...
Persistent link: https://www.econbiz.de/10010261825