Spring 2025 Business Economics B8257 section 001

Business Experiments: Analytics for Caus

Business Experiments: Ana

Call Number 16710
Day & Time
Location
R 9:00am-12:15pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Laura E Boudreau
Type LECTURE
Method of Instruction In-Person
Course 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.

Web Site Vergil
Department Business Economics
Enrollment 50 students (50 max) as of 4:05PM Saturday, December 21, 2024
Status Full
Subject Business Economics
Number B8257
Section 001
Division School of Business
Open To Business, Engineering:Graduate, Journalism
Section key 20251BUEC8257B001