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ARE 5313: Applied Econometrics II: Advanced Causal Inference
Econometric methods used in contemporary applied economic data analysis to examine causal relationships as well as machine learning techniques. Covered techniques include, but are not limited to, difference-in-differences, instrumental variables, regression discontinuity, synthetic control methods, and causal forest. Emphasis in lecture will be placed on formulating identification strategies and implementing in standard statistical software (of the student's choosing).
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- ARE 5311 or STAT 5405 or instructor consent. Not open for credit to students who have passed ARE 6313.
Spring 2027 sections
Taught by Jackson Somers.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:00AM - 12:15PM / TuTh | Jackson Somers | Storrs | YNG 304 | 5 of 9 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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