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Shosei SAKAGUCHI

Machine Learning Econometrics Applied Microeconomics

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Shosei SAKAGUCHI is an Assistant Professor in the Department of Economics at The University of Tokyo. His research focuses on Econometrics, Machine Learning, and Applied Microeconomics. SAKAGUCHI's work explores policy learning, particularly how to design optimal public policies from experimental or quasi-experimental data under external constraints. He has published in journals such as the Journal of Applied Econometrics and Economics Letters. His professional experience includes roles at Brown University, University College London, and The University of Tokyo. He has received awards for his presentations and research.

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