5 papers
Optimal estimation for regression discontinuity design with binary outcomes
Takuya Ishihara, Masayuki Sawada, Kohei Yata
We develop a finite-sample optimal estimator for regression discontinuity design when the outcomes are bounded, including binary outcomes as the leading case. Our estimator achieve…
Identification and estimation of treatment effects in a linear factor model with fixed number of time periods
Koki Fusejima, Takuya Ishihara
This paper provides a new approach for identifying and estimating the Average Treatment Effect on the Treated under a linear factor model that allows for multiple time-varying unob…
Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
Masayuki Sawada, Takuya Ishihara, Daisuke Kurisu +1
We study a multivariate regression discontinuity design in which treatment is assigned by crossing a boundary in the space of multiple running variables. We document that the exist…
Adaptive Experimental Design for Policy Learning
Masahiro Kato, Kyohei Okumura, Takuya Ishihara +1
This study investigates the contextual best arm identification (BAI) problem, aiming to design an adaptive experiment to identify the best treatment arm conditioned on contextual i…
Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
Shonosuke Sugasawa, Takuya Ishihara, Daisuke Kurisu
Regression discontinuity design (RDD) is widely adopted for causal inference under intervention determined by a continuous variable. While one is interested in treatment effect het…