PhD in Economics - Econometrics in Madison United States | University of Wisconsin-Madison

Econometrics focuses on developing techniques for analyzing real-world economic data. The program equips students with robust training in both econometric theory and practical applications, catering to those specializing in methodology as well as those pursuing applied economics research.

All PhD candidates in economics complete a foundational year of econometrics (Economics 709 and 710, with class sizes typically ranging from 40-50 students). Those selecting econometrics as their primary specialization, or seeking advanced coursework, enroll in Economics 715 during their second year - a course delving into nonlinear estimation and inference theory. Students may also choose from Economics 716, 718, or 719, which explore cutting-edge topics in theoretical and applied econometrics, with smaller class sizes of 10-20 participants.

The breadth of Wisconsin's econometrics research becomes evident through faculty projects (frequently involving graduate students), spanning areas like generalized method of moments, nonparametric likelihood, bootstrap techniques, interaction-based modeling, macroeconometrics, nonlinear time series analysis, and semiparametric estimation. Furthermore, research across various disciplines - including public economics, labor studies, industrial organization, macroeconomics, international trade, and microeconomics - frequently employs advanced econometric methods developed by the department.