6 papers
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…
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…
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…
A unified test for regression discontinuity designs
Koki Fusejima, Takuya Ishihara, Masayuki Sawada
Diagnostic tests for regression discontinuity design face a size-control problem. We document a massive over-rejection of the diagnostic restriction among empirical studies in the…
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…
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…