Advanced Techniques & Extensions of the Classical Model

Catalog description

This course covers extensions of the Classical Regression model. First, we will consider problems that arise with the classic linear model, including heteroskedastic errors and endogenous variables. Second, we will thoroughly study important extensions to the classical model, including Instrumental Variables estimation techniques, non-linear models, large-sample distribution theory, Maximum Likelihood Estimation, and estimation techniques for binary response data. Problem sets and a practical regression-based project will be assigned to each student.