معرفی
Jeffrey S. Racine is a Professor in the Department of Economics and a Professor in the Graduate Program in Statistics in the Department of Mathematics and Statistics at McMaster University. He occupies the Senator William McMaster Chair in Econometrics and is a Fellow of the Journal of Econometrics. He serves as an Associate Editor for Econometric Reviews and as the Deputy Editor-in-Chief for Econometrics. His previous academic appointments include Syracuse University, the University of South Florida, the University of California San Diego (two-year visiting appointment), and York University.
Dr. Racine earned his Ph.D. from the University of Western Ontario in 1989 under the supervision of Aman Ullah. His educational background also includes a Master's degree from McMaster University and a Bachelor of Arts (Summa Cum Laude) from McMaster University.
Professor Racine's research focuses on nonparametric estimation and inference, shape constrained estimation, cross-validatory model selection, frequentist model averaging, nonparametric instrumental methods, and entropy-based measures of dependence. His work bridges theoretical econometrics with practical computational implementations, with a strong emphasis on reproducible research. He has pioneered approaches for nonparametric estimation with mixed data types (both categorical and continuous predictors) and has made significant contributions to parallel distributed computing paradigms applied to computationally intensive nonparametric estimators. His recent publications demonstrate continued innovation in model averaging techniques, kernel density estimation, and quantile regression methods.
Dr. Racine has received numerous professional recognitions including the Senator William McMaster Chair in Econometrics, being named a Fellow of the Journal of Econometrics, and receiving the Econometrics Best Paper Award in 2018. His scholarly output includes multiple books, monographs, and over 100 peer-reviewed publications in leading economics and statistics journals.
As an educator and researcher, Professor Racine has made substantial contributions through his co-authored graduate textbook Nonparametric Econometrics: Theory and Practice (with Qi Li, Princeton University Press, 2007) and his monograph Nonparametric Econometrics: A Primer (Foundations and Trends in Econometrics, 2008). He has also authored influential books including An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics (Cambridge University Press, 2019) and Reproducible Econometrics Using R (Oxford University Press, 2019). His work on software implementation is equally impactful, having co-authored the widely used R packages np and crs available on CRAN, which have become standard tools for nonparametric econometric analysis.
Professor Racine maintains an active research program with collaborators worldwide and continues to advance the field of nonparametric econometrics through both theoretical developments and practical implementations. His work has applications across economics, statistics, and various social sciences where flexible modeling approaches are required.
