Econometrics is concerned with the methods for empirical analysis in economics. The program provides strong preparation and training for students interested in econometrics methods and theory, and as well as for students whose primary interest lies in applied economics.
All doctoral students in economics, regardless of field, take one year of econometrics (Economics 709 and 710, which has an enrollment of about 40-50). In their second year of study, students who choose econometrics as their major field, or who simply want more advanced training, will take Economics 715, which covers the core theory of nonlinear estimation and inference. They will also take one or more of Economics 716, 718 or 719, which cover selected topics on the frontiers of theoretical and applied econometrics. These courses have enrollments of about 10-20 students.
The scope of econometrics at Wisconsin is suggested by a list of recent research projects by the econometrics faculty (often with the assistance of graduate students). These include the generalized method of moments, nonparametric likelihood, bootstrap methods, interactions-based models, macroeconometrics, nonlinear time series, and semiparametric estimation. In addition, studies conducted by other faculty members and students-in public economics, labor, industrial organization, macroeconomics, trade, and microeconomics-often draw on appropriately sophisticated econometric techniques.
The econometrics program can be augmented by course offerings in the statistics department.