T 2:20pm–5:35pm · Th 9:00am–12:15pm
2 distinct times across 2 sections.
2 of 2 sections have room
Open to Business, Engineering:Graduate, Journalism
Prerequisite: Complete B6100 or B6103.
Description
Data analysis in economics, or "econometrics" as it is called by practitioners, has moved away from mathematical complexity and towards simpler tools that are accessible to businesses and can be applied easily to big data. This course will provide students with an understanding of three widely used techniques in modern econometrics: randomized control trials, regression discontinuity, and differences-in-differences. After learning how these tools provide superior analytic results than traditional regression techniques in making inferences about the real world, students will gain the practical knowledge to wield them successfully and make better decisions with data.
Reviews
Course experience
Aggregated across everyone who has taught this course.
No reviews matched yet.
Instructor quality
Aggregated across every course Laura E Boudreau has taught.
No reviews matched yet.
Sections2
Laura E Boudreau · Jonah Rockoff
T 2:20pm–5:35pm · GEFFEN HALL GEF 520Open to: Business, Engineering:Graduate, Journalism
Prerequisite: Complete B6100 or B6103.
42 of 74 seats leftSeat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 16 of 74 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Standard
- Format
- LECTURE · In-Person
- Credits
- 3 credits
Reported workload
From CULPA and Reddit reviews matched to this course.
No reviews matched yet.