Econometrics I

Catalog description

This course is designed for doctoral students and serves as the first of a two-course sequence focused on modern econometric theory and methods. This foundational course covers essential concepts in statistics, including the theory, uses, and application of regression techniques under different conditions. The course will cover common econometric challenges in social sciences research and discuss techniques used to address them. The class adopts a hands-on approach, with students working with data to model and address econometric issues. Familiarity with basic statistics, calculus, and matrix algebra is required.