Showing 1 - 10 of 1,748
-differential measurement error, we propose a consistent non-parametric estimator of the LATE when the discrepancy between the true running …
Persistent link: https://www.econbiz.de/10012955015
, we employ a nonparametric partial identification approach that provides bounds on the population average treatment effect …
Persistent link: https://www.econbiz.de/10014081950
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/10013069679
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity …
Persistent link: https://www.econbiz.de/10013325034
dependent data and allowing for first-step estimation of the propensity score …
Persistent link: https://www.econbiz.de/10013325071
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment …
Persistent link: https://www.econbiz.de/10013013571
different institutional settings – Australia, Germany, the UK, and the US – using a nonparametric bounds analysis. Relying on …
Persistent link: https://www.econbiz.de/10012959066
Proxy variables are often used in linear regression models with the aim of removing potential confounding bias. In this paper we formalise proxy variables within the potential outcome framework, giving conditions under which it can be shown that causal effects are nonparametrically identified....
Persistent link: https://www.econbiz.de/10012986751
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …
Persistent link: https://www.econbiz.de/10012997421
they allow us to test for the unconfoundedness assumption although they do not necessarily yield nonparametric …
Persistent link: https://www.econbiz.de/10013104053