7 citations · 12 across the 6 of their papers we have counts for
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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.EM2021★ 3 cited
Optimal Decision Rules Under Partial Identification
Kohei Yata
I consider a class of statistical decision problems in which the policymaker must decide between two policies to maximize social welfare (e.g., the population mean of an outcome) b…
econ.EM2021★ 2 cited
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules
Yusuke Narita, Kohei Yata
Algorithms make a growing portion of policy and business decisions. We develop a treatment-effect estimator using algorithmic decisions as instruments for a class of stochastic and…