معرفی
Zhipeng Liao is a Professor of Economics at the University of California, Los Angeles (UCLA), where he contributes to the Department of Economics. He holds a Ph.D. from Yale University and specializes in econometric theory and applied econometrics. His research focuses on developing statistical methods for evaluating economic models, nonstationary time series analysis, and robust inference in semi/nonparametric frameworks.
Professor Liao's work has been published in leading journals such as the Annals of Statistics, Econometrica, and the Review of Economic Studies. He serves on the editorial boards of several prestigious journals, including Econometric Reviews, Econometric Theory, and Journal of Business & Economic Statistics. His research interests span econometric theory, time series analysis, panel data modeling, and nonparametric inference, with applications to financial economics and macroeconomic modeling.
His recent publications emphasize methodological advancements in hypothesis testing, model selection, and robust estimation techniques. These include contributions to the analysis of spatially dependent panel data, instrumental variables methods, and the evaluation of macro-finance models. His work bridges theoretical econometrics with practical applications, addressing challenges such as endogeneity, model misspecification, and computational efficiency.
Liao’s editorial roles reflect his influence in shaping the direction of econometric research. His research has implications for policy analysis, financial market modeling, and empirical studies requiring rigorous statistical foundations. Despite the breadth of his contributions, no specific awards or grants are explicitly mentioned in the provided text.
