Statistics, the Classical Model, Identification & Causal Inference

Catalog description

This course covers the fundamentals of applied econometrics. The first section will consist of probability and statistics which provide the theoretical framework within which we will conduct regression analysis. The second section will include a thorough review of the Classical Regression model, identification, and causal inference. Some instruction will occur in the computer lab, where students will estimate regressions using actual data and interpret the results. Problem sets and a practical regression-based project will be assigned to each student.