Teaching
Teaching
Fall 2025 (66 students) --- In person
Economics 421 extends the topics learned in Economics 320 (Introduction to Econometrics I), to prepare students for the econometrics required by other 400-level classes. The strong, classical assumptions of linear regression in EC 320 often do not hold in real data. What do we do when variables are highly correlated? How do we analyze time series? What if residuals are correlated over time? By making weaker assumptions, and deriving new estimators, we create models that are incredibly practical for analysis of economic data.
Fall 2023 (30 students), Winter 2025 (97 students), Spring 2025 (72 students) --- All in person
This course covers macroeconomic models that help explain fluctuations in output, employment, price level, inflation, and interest rates, with applications to the U.S. economy. Students should aim to become well-informed about the current state of the U.S. economy and macroeconomic policy issues, and will be expected to know some basic facts about U.S. macroeconomic data.
Summer 2024 (12 students) --- Virtual
Math camp introduces students to the mathematics and level of abstraction they can expect to see in first year curriculum of the Economics Doctoral Program. This workshop is optional, informal and solely for the benefit of the student: there is no registration and no performance record.
EC 607 - Econometrics Ph.D. Course (Winter 2024, Spring 2024)
EC 607 - Macroeconomics Ph.D. Course (Fall 2022, Winter 2023, Spring 2023)
Economics Ph.D. Math Camp (Summer 2023)
EC 413/513 - Advanced Macroeconomic Theory (Winter 2024)
EC 313 - Intermediate Macroeconomic Theory (Spring 2024)
EC 202 - Introduction to Macroeconomic Theory (Winter 2022, Spring 2022)
EC 101 - Introduction to Economics (Fall 2021)