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Treatment evaluation with multiple outcome periods under endogeneity and attrition
Frölich, Markus; Huber, Martin - 2014
This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment …
Persistent link: https://www.econbiz.de/10010249397
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Endogeneity and non-response bias in treatment evaluation : nonparametric identification of causal effects by instruments
Fricke, Hans; Frölich, Markus; Huber, Martin; Lechner, … - 2015
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment … as the total population and suggest non- and semiparametric estimators. We apply the latter to a randomized experiment at …
Persistent link: https://www.econbiz.de/10011348296
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Endogeneity and Non-Response Bias in Treatment Evaluation : Nonparametric Identification of Causal Effects by Instruments
Fricke, Hans - 2015
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment … as the total population and suggest non- and semiparametric estimators. We apply the latter to a randomized experiment at …
Persistent link: https://www.econbiz.de/10013013571
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Treatment Evaluation with Multiple Outcome Periods Under Endogeneity and Attrition
Frölich, Markus - 2014
This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment …
Persistent link: https://www.econbiz.de/10013057921
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Panel experiments and dynamic causal effects : a finite population perspective
Bojinov, Iavor; Rambachan, Ashesh; Shephard, Neil G. - In: Quantitative economics : QE ; journal of the … 12 (2021) 4, pp. 1171-1196
nonparametric estimator that is unbiased over the randomization distribution and derive its finite population limiting distribution …
Persistent link: https://www.econbiz.de/10012795665
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Regression discontinuity design with covariates
Frölich, Markus - 2007
covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one …-dimensional nonparametric regression irrespective of the dimension of X. It thus extends the analysis of Hahn, Todd and van der Klaauw (2001 …
Persistent link: https://www.econbiz.de/10010318461
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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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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 …-dimensional nonparametric regression. We apply the proposed estimators to estimate the effects of summer school on the distribution of school …
Persistent link: https://www.econbiz.de/10010269846
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Nonparametric IV estimation of local average treatment effects with covariates
Frölich, Markus - 2002
Persistent link: https://www.econbiz.de/10001717623
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A Nonparametric Estimator for Local Quantile Treatment Effects in the Regression Discontinuity Design
Frandsen, Brigham R. - 2008
I introduce a procedure to nonparametrically estimate local quantile treatment effects in a regression discontinuity (RD) design with a binary treatment. Analogously to Hahn, Todd, and van der Klaauw's (2001) estimator for average treatment effects using local linear regression, the estimator...
Persistent link: https://www.econbiz.de/10014215885