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Yusuke Narita is an Assistant Professor in the Department of Economics at Yale University. His research focuses on designing decision-making algorithms and their applications in policy and business, with a particular interest in education policy. Narita employs a variety of methods including causal inference, machine learning, economic theory, and structural econometric modeling in his work. His publications have appeared in prestigious journals such as Econometrica, American Economic Review, Management Science, PNAS, and the Journal of Economic Theory. Narita previously served as a visiting assistant professor at Stanford University after obtaining his Ph.D. from the Massachusetts Institute of Technology. He has been recognized as a Young Global Leader by the World Economic Forum and was named one of MIT Technology Review's Innovators Under 35 in Japan. Additionally, he received the Prime Minister’s Award for Open Innovation from the Japanese Government.
Yale University • New Haven, CT
Teaches and conducts research in the field of Economics.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.