Scholars / UChicago Scholar
Tetsuya Kaji
Associate Professor of Econometrics and Statistics and Richard Rosett Faculty Fellow, Booth School of Business
Tetsuya Kaji works at the intersections of economics, statistics, and machine learning. His research is directed toward the development of practical solutions to applied econometric problems, statistical assessment of these solutions, and fundamental understanding of nonstandard econometric problems. Recent projects include the study of empirical processes, semiparametric foundations of weak identification, incorporation of estimation error in financial risk management, and effective adaptation of artificial intelligence techniques in economic applications. Kaji was among the first to...