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.
Division: Economics
Prerequisite
Complete ALL of the following Courses
Spring 2024
B8257 - 001
Day(s)
Date(s)
Start/End Time
Room
-
Thursday 01/22/2024 - 04/26/2024 9:00AM - 12:15PM Kravis 820
Spring 2023
B8257 - 001
Part of Term
MBA - Full Term
Section Syllabus
Download Syllabus
Section Notes
Attendance at the first class is mandatory for all enrolled students and those on a waitlist or who hope to add the class during Add/Drop.
Day(s)
Date(s)
Start/End Time
Room
-
Thursday 01/23/2023 - 04/28/2023 8:30AM - 11:45AM Kravis 690