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20202025
most citedAdaptive Experimental Design for Policy Learning

1 citations · 2 across the 7 of their papers we have counts for

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Showing econ.EMShow all

5 papers · 1 filter

econ.EM2025

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…

econ.EM2025

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…

econ.EM2024

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…

econ.EM2022★ 1 cited

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…

econ.EM2020

Manipulation-Robust Regression Discontinuity Designs

Takuya Ishihara, Masayuki Sawada

We present simple low-level conditions for identification in regression discontinuity designs using a potential outcome framework for the manipulation of the running variable. Usin…