Economics
Approved course information last updated: 1 month, 3 weeks ago
Pre-requisites: None
Requisite To: None
Lab Session:
Econometrics merges mathematical models with statistical methods & probability theory to answer economic questions using data. Using linear regression as the workhorse, the course covers model specification, estimation, inference, & forecasting. The course is also an introduction to causal inference where you learn to differentiate critically between correlation and causation as well as identify & estimate the causal effects of endogenous variables. The underlying theories are presented, but emphasis is on applying them empirically using statistical software. This course will transition you from being an economics student to a practicing economist.
- Clo1. understand the theoretical foundations and properties of key models and estimators.
- Clo2. identify data structures, specify appropriate econometric models, & develop estimation/forecasting strategies.
- Clo3. differentiate critically between spurious correlations and causal relationships.
- Clo4. use statistical software to organize data, estimate model parameters, and draw inferential conclusions.
- Clo5. interpret estimation results and communicate findings in written form.