معرفی
Zongwu Cai is the Charles Oswald Professor of Econometrics at the University of Kansas. His research focuses on econometric methodologies for policy evaluation, financial networks, income inequality, and climate change impacts. He holds a Ph.D. in Statistics from the University of California and prior degrees from institutions in China.
Key research themes include quantile regression, panel data models, and machine learning applications in economics. Recent work addresses topics like trade war effects, AI-driven labor market shifts, and climate change's economic consequences. His contributions bridge theoretical econometrics with applied policy analysis.
He has published extensively on topics such as predictive regression testing, risk assessment models, and structural break analysis. His methodological innovations include functional-coefficient VAR models and time-varying risk aversion frameworks.
