APPLIED ECONOMETRIC ANALYSIS I
Introduction to the standard linear regression model with an emphasis on application issues. Includes statistical foundation, hypothesis testing, functional form, model selection and procedures for handling violations of model assumption.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Understand the technical aspects of linear regression and statistical inference. Audience: Graduate 2. Critically evaluate estimates of linear models. Audience: Graduate 3. Gauge the appropriateness of different model assumptions for different types of applied problems. Audience: Graduate Learning Outcomes: 1. Understand the technical aspects of linear regression and statistical inference. Audience: Graduate 2. Critically evaluate estimates of linear models. Audience: Graduate 3. Gauge the appropriateness of different model assumptions for different types of applied problems. Audience: Graduate
Sources
- Course catalogue ↗2026-2027