Scholars / UChicago Scholar
Tetsuya Kaji
Assistant Professor of Econometrics and Statistics, Booth School of Business
Tetsuya Kaji is Assistant Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. 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...