3 credits
Fall 2025 Lecture Distance Learning Upper Division
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.
Learning Outcomes1Analyze multivariate economic relationships using regression models, including distinguishing between correlation and causation.
2Perform statistical inference based on the results of empirical analysis.
3Communicate empirical results and interpret their practical significance clearly.
4Use statistical software to explore datasets, estimate economic relationships, and conduct statistical tests.
5Derive the least squares estimators and analyze their statistical properties.
Prerequisites
Restrictions
made by Purdue students.