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.
Authors
![Hidehiko Ichimura](/sites/default/files/styles/square_desktop/public/2022-07/Hidechiko%20Ichimura.jpg?itok=qozO-upv)
Research Associate University of Arizona, University of Tokyo
Hidehiko is a Professor of Economics at the Eller College of Management, University of Arizona and a Research Associate at the IFS.
![Person graphic](/sites/default/files/styles/square_desktop/public/2022-06/IFS-person-graphic.png?itok=hWCtTSrz)
Yoichi Arai
Journal article details
- DOI
- 10.1016/j.econlet.2016.01.024
- Publisher
- Elsevier
- Issue
- Volume 141, April 2016
Suggested citation
Arai, Y and Ichimura, H. (2016). 'Optimal bandwidth selection for the fuzzy regression discontinuity estimator' 141(2016)
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