How AI describes Kelixu

Ke-Li Xu is a professor of economics at Indiana University Bloomington, specializing in econometrics and statistical methodology for economic models and data. His research develops estimation and inference methods to handle endogeneity, nonlinearity, heterogeneity, and persistency, with topics including local projections, predictive regression, discontinuity-based quasi-experimental designs, and nonparametric/semi-parametric volatility models. He earned his Ph.D. from Yale in 2007 and has held faculty positions at Texas A&M and the University of Alberta, with visiting appointments at Yale, UT Austin, and Université de Montréal; he is a Fellow of the Journal of Econometrics, recipient of the Multa Scripsit award from Econometric Theory, and serves as an associate editor for several leading econometrics journals.