Add to ORKGhttps://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/A new bandwidth selection method for the fuzzy regression discontinuity estimator is proposed. The method chooses two bandwidths simultaneously, one for each side of the cut-off point by using a criterion based on the estimated asymptotic mean square error taking into account a second-order bias term. A simulation study demonstrates the usefulness of the proposed method.JEL Classification Codes: C13, C14technical repor
[Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, howe...
Many empirical examples of regression discontinuity (RD) designs concern a continuous treatment vari...
This paper proposes empirical likelihood based inference methods for causal effects identified from re...
https://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/A new bandwidth selection method for the fuz...
https://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/We consider the problem of the bandwidth sel...
We consider the problem of the bandwidth selection for the sharp regression discontinuity (RD) estim...
https://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/We consider the problem of choosing two band...
In the regression-discontinuity (RD) design, units are assigned to treatment based on whether their ...
In regression discontinuity design (RD), researchers use bandwidths around the discontinuity. For ag...
In this supplemental material, we present omitted discussions, an algorithm to imple-ment the propos...
This paper proposes empirical likelihood based inference methods for causal effects identified from ...
Description This package provides the tools to undertake estimation in Regression Discontinuity Desi...
We propose new confidence sets (CSs) for the regression discontinuity parameter in fuzzy designs. Ou...
This paper proposes a novel approach to incorporate covariates in regression discontinuity (RD) desi...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/109857/1/ecta1465.pd
[Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, howe...
Many empirical examples of regression discontinuity (RD) designs concern a continuous treatment vari...
This paper proposes empirical likelihood based inference methods for causal effects identified from re...
https://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/A new bandwidth selection method for the fuz...
https://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/We consider the problem of the bandwidth sel...
We consider the problem of the bandwidth selection for the sharp regression discontinuity (RD) estim...
https://www.grips.ac.jp/list/jp/facultyinfo/arai_yoichi/We consider the problem of choosing two band...
In the regression-discontinuity (RD) design, units are assigned to treatment based on whether their ...
In regression discontinuity design (RD), researchers use bandwidths around the discontinuity. For ag...
In this supplemental material, we present omitted discussions, an algorithm to imple-ment the propos...
This paper proposes empirical likelihood based inference methods for causal effects identified from ...
Description This package provides the tools to undertake estimation in Regression Discontinuity Desi...
We propose new confidence sets (CSs) for the regression discontinuity parameter in fuzzy designs. Ou...
This paper proposes a novel approach to incorporate covariates in regression discontinuity (RD) desi...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/109857/1/ecta1465.pd
[Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, howe...
Many empirical examples of regression discontinuity (RD) designs concern a continuous treatment vari...
This paper proposes empirical likelihood based inference methods for causal effects identified from re...