2015/09/02 by Yoichi Arai, Hidehiko Ichimura, Arai, Yoichi +1
Computer Science · Mathematics · #Artificial intelligence #Bandwidth (computing) #Computer science #Discontinuity (linguistics) #Estimator #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Fuzzy Systems and Optimization #Fuzzy logic #Mathematical analysis #Mathematics #Mean squared error #Methodology (stat.ME) #Neural Networks and Applications #Regression #Regression discontinuity design #Selection (genetic algorithm) #Statistics #Telecommunications #stat.ME
paper · pdf · doi:10.48550/arxiv.1509.00676
arxiv created 2015/09/02 · openalex publication_date 2015/09/02 · arxiv updated 2015/09/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
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.