APPLIED ECONOMETRIC ANALYSIS II

Prerequisites & course information

Requisites: A A E 636 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Extend the standard linear regression models to nonlinear regression models, estimate them, and interpret the results. Audience: Graduate 2. Estimate models beyond ordinary least squares (OLS), to include Maximum Likelihood (MLE), analysis of discrete choice and limited dependent variables. Audience: Graduate 3. Provide an overview of the latest techniques being developed using panel data and apply these methods in an independent estimation exercise. Audience: Graduate 4. Select the experimental or quasi-experimental method appropriate for the analysis at hand. Audience: Graduate Learning Outcomes: 1. Extend the standard linear regression models to nonlinear regression models, estimate them, and interpret the results. Audience: Graduate 2. Estimate models beyond ordinary least squares (OLS), to include Maximum Likelihood (MLE), analysis of discrete choice and limited dependent variables. Audience: Graduate 3. Provide an overview of the latest techniques being developed using panel data and apply these methods in an independent estimation exercise. Audience: Graduate 4. Select the experimental or quasi-experimental method appropriate for the analysis at hand. Audience: Graduate