Ke-Li Xu (徐克力)
Professor
Department of Economics
Indiana University
100 South Woodlawn Avenue
Bloomington, Indiana 47405-7104
Office: Wylie Hall 255
Phone: 812-855-5525
Email: kelixu AT iu DOT edu (no spaces);
keli.xu15 AT gmail DOT com (no spaces).
Web: https://www.kelixu.com
Official Web: https://economics.indiana.edu/about/faculty/xu-keli.html
Short Bio
Ph.D., Yale University, 2007.
Dr. Ke-Li Xu is a Professor of Economics at Indiana University Bloomington. His research lies in econometrics, with a focus on developing statistical methodologies and theories for the analysis of economic models and data. His work spans a wide range of topics, including—more recently—local projections and impulse responses in macroeconomics, predictive regressions in finance, discontinuity-based quasi-experimental designs, and nonparametric and semiparametric models. Earlier contributions include research on time-varying models, volatility and risk, structural change, continuous-time diffusions, quantile regression, trend and persistence modeling, and cointegration. A central theme of Dr. Xu’s research is the development of estimation and inference methods for economic models featuring endogeneity, nonlinearity, heterogeneity, and persistence, while avoiding overly restrictive assumptions on the data-generating process. His research has been published in the Review of Economic Studies, Review of Financial Studies, Journal of Econometrics, Journal of Business & Economic Statistics, among other journals.
Before joining Indiana University Bloomington in 2016, Dr. Xu was an Associate Professor of Economics and Rothrock Fellow of Liberal Arts at Texas A&M University, and previously an Assistant Professor of Finance and Management Science, Pearson Fellow, and Canadian Utilities Fellow at the University of Alberta School of Business.
Dr. Xu is a Fellow of the Journal of Econometrics and a recipient of the Multa Scripsit Award from Econometric Theory. He currently serves as an Associate Editor for the Journal of Econometrics, Journal of Business & Economic Statistics, Econometric Theory, Econometric Reviews, and other statistics journals including Journal of Time Series Analysis and Statistics and Computing. He also served as a panelist for the National Science Foundation’s (NSF) Economics program. Dr. Xu received his Ph.D. from Yale University in 2007. He completed his earlier education in China, earning M.S. and B.S. degrees from the University of Science and Technology of China (Hefei) and Wuhan University.