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.
Assistant Professor of Business
Laura Boudreau is an Assistant Director at Columbia Business School. Laura received her Ph.D. from the University of California, Berkeley. Her research focuses on working conditions, labor market institutions, and firm productivity in developing countries. She is especially interested in how the intersection of global supply chains with local institutions affect firms’ and workers’ outcomes.