INTRODUCTORY ECONOMETRICS

Prerequisites & course information

Requisites: ECON 310 and (MATH 217 or 221 ). Not open to students with credit for ECON 400 Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Level - Advanced L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Derive an ordinary least squares (OLS) estimator for a linear regression model. Audience: Undergraduate 2. Test theories about the true model using formal hypothesis tests. Audience: Undergraduate 3. Evaluate the expected value and variance of an estimator. Audience: Undergraduate 4. Prove that the OLS estimator is unbiased, BLUE, and consistent. Audience: Undergraduate 5. State the assumptions underpinning OLS, check for violations of these assumptions, determine the consequences of such violations, and – where possible – suggest alternative statistical approaches that are more appropriate given the circumstances. Audience: Undergraduate 6. Evaluate the extent to which econometric methods can be used to determine whether a statistical association represents a causal relationship. Audience: Undergraduate 7. Use statistical software to apply all of these statistical techniques to analyze the relationship between real-world economic variables. Audience: Undergraduate Learning Outcomes: 1. Derive an ordinary least squares (OLS) estimator for a linear regression model. Audience: Undergraduate 2. Test theories about the true model using formal hypothesis tests. Audience: Undergraduate 3. Evaluate the expected value and variance of an estimator. Audience: Undergraduate 4. Prove that the OLS estimator is unbiased, BLUE, and consistent. Audience: Undergraduate 5. State the assumptions underpinning OLS, check for violations of these assumptions, determine the consequences of such violations, and – where possible – suggest alternative statistical approaches that are more appropriate given the circumstances. Audience: Undergraduate 6. Evaluate the extent to which econometric methods can be used to determine whether a statistical association represents a causal relationship. Audience: Undergraduate 7. Use statistical software to apply all of these statistical techniques to analyze the relationship between real-world economic variables. Audience: Undergraduate