ECON 6140 — Advanced Applied Econometrics
4 semester hoursGraduateLectureusually offered: springtypical days: T/FBostonTraditional
Offers students an opportunity to obtain the theoretical tools, computer skills, and experience using econometrics needed to appreciate and do high-quality applied research in economics. Emphasizes understanding how the properties of estimators can be found and their implications for applied research. Introduces the programming language Python, which is integrated into the course. Focuses on methods that are most useful in microeconomic analysis, including classical linear regressions, Gauss-Markov theorem and hypothesis testing, endogeneity, instrumental variable estimation and causality analysis, heteroskedasticity and serial correlations, nonlinearity, panel data methods, difference-in-difference, and regression discontinuity. This is the first advanced graduate-level course on econometrics.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 1 | 19 | 20 | 95% | 1.0 |
| Spring 2025 | 1 | 17 | 25 | 68% | 8.0 |
| Spring 2026 | 1 | 9 | 20 | 45% | 11.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 100% · W 0% · Th 0% · F 100%
Common patterns: TF (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Jianfei Cao (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list ECON 6140 in their prerequisites.
Links
Official catalog (ECON course descriptions) · Student reviews on RateMyHusky · All ECON courses · Plan it at numap.app