Econometrics

Catalog description

This course examines the statistical techniques economists use to analyze data, estimate causal effects, make predictions, and test economic theory. It emphasizes estimating multiple regression models including models of firm output, product prices, and wages. Students learn to make statistical and practical inferences about the true causal relationships. The course covers the data analysis skills required for careers as a consultant, financial analyst, researcher, or economist in the private and public sectors. The skills practiced in the course include using statistical software to analyze data. Prerequisite(s): ECON 25100 FOR LEVEL UG WITH MIN. GRADE OF C AND ECON 25200 FOR LEVEL UG WITH MIN. GRADE OF C AND (BUSM 22500 FOR LEVEL UG WITH MIN. GRADE OF C OR STAT 30100 FOR LEVEL UG WITH MIN. GRADE OF C) Course Learning Outcomes 1. Analyze multivariate economic relationships using regression models, including distinguishing between correlation and causation. 2. Perform statistical inference based on the results of empirical analysis. 3. Communicate empirical results and interpret their practical significance clearly. 4. Use statistical software to explore datasets, estimate economic relationships, and conduct statistical tests. 5. Derive the least squares estimators and analyze their statistical properties. View Class Schedule