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

Spring 2023

B7257 - 001