INTRODUCTION TO APPLIED ECONOMETRICS

Prerequisites & course information

Requisites: ECON 310 , ( STAT 240 and 340 ), STAT 302, 303 , 311 , 324 , STAT/MATH 309 , or 431 . Not open to students with credit for ECON 410 . 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. Discuss the properties of 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. State the assumptions underpinning OLS, recognize violations of these assumptions, discuss the consequences of such violations, and - where possible - suggest alternative statistical approaches that are more appropriate given the circumstances Audience: Undergraduate 4. Evaluate the extent to which econometric methods can be used to determine whether a statistical association represents a causal relationship Audience: Undergraduate 5. Use statistical software to apply these statistical techniques to analyze the relationship between real-world economic variables Audience: Undergraduate 6. Read and interpret results from applied economics journal articles that employ these statistical techniques Audience: Undergraduate Learning Outcomes: 1. Discuss the properties of 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. State the assumptions underpinning OLS, recognize violations of these assumptions, discuss the consequences of such violations, and - where possible - suggest alternative statistical approaches that are more appropriate given the circumstances Audience: Undergraduate 4. Evaluate the extent to which econometric methods can be used to determine whether a statistical association represents a causal relationship Audience: Undergraduate 5. Use statistical software to apply these statistical techniques to analyze the relationship between real-world economic variables Audience: Undergraduate 6. Read and interpret results from applied economics journal articles that employ these statistical techniques Audience: Undergraduate