Yuya Sasaki

Brian and Charlotte Grove Chair and Professor of Economics

Yuya Sasaki specializes in econometrics, with expertise spanning areas including big data analysis, cluster-robust inference, dynamic discrete choice models, games, heavy-tailed distributions, high-dimensional models, income dynamics, machine learning, measurement errors, nonparametric methods, panel data analysis, production functions, program evaluation methods, quantile regressions, testing, and welfare analysis. Sasaki holds editorial positions at the Econometric Reviews, the Journal of Business & Economic Statistics, and the Journal of Econometric Methods. He is a recipient of the Econometric Theory Multa Scripsit Award in 2019 and a fellow of the Journal of Econometrics since 2019.