Publications
Risk and optimal policies in bandit experiments
Link to presentation at Chamberlain seminar
Replication package and code here
Econometrica, 2025
How to sample and when to stop sampling: The generalized Wald problem and minimax policies
Replication package and code here
Review of Economic Studies, 2025
Temporal-Difference estimation of dynamic discrete choice models
with Dita Eckardt
Link to Python code here; many thanks to Kohei Kawaguchi for sharing
Supplementary material here (provides more details on the derivation of the locally robust moment)
Review of Economic Studies, 2025
Reweighted non-parametric likelihood inference for linear functionals
with Taisuke Otsu & Chen Qiu
Electronic Journal of Statistics, 2023
Inference on distribution functions under measurement error
with Daisuke Kurisu, Taisuke Otsu & Yoon-Jae Whang,
Journal of Econometrics, 2020
Nonparametric instrumental regression with errors in variables
with Taisuke Otsu,
Econometric Theory, 2018
Empirical likelihood for random sets
with Taisuke Otsu
Journal of the American Statistical Association, 2017
Working papers
Optimal tests following sequential experiments
Conditionally Accepted, Journal of Political Economy
Empirical Bayes for compound adaptive experiments
with Jiaying Gu & Junfan Tao
May, 2025 (Preliminary draft)
Dynamically optimal treatment allocation
with Friedrich Geiecke & Claudio Schilter
Link to code here
April, 2025
Heterogeneity and endogenous compliance: Implications for scaling class size interventions
with Francesco Agostinelli & Emilio Borghesan
November 2022
Updated: April, 2025
Unobserved heterogeneity, grouped random effects and the EAMP algorithm
March, 2021
Updated: August, 2023
Bootstrap inference for Propensity Score Matching
November, 2022
Notes
Treatment effect estimation in high dimensions without sparsity or collinearity conditions
May, 2017