▪️Full name: Susan Athey (1970)
🏫Education: BA, Economics, Computer Science, and Mathematics (Duke University)
PhD, Economics (Stanford Graduate School of Business)
▪️Position: The Economics of Technology Professor at Stanford University Graduate School of Business
Research Associate at NBER Member of Institute for Computational and Mathematical Engineering, Stanford
Member of California Governor’s Council of Economic Advisors
▪️Field: Microeconomics, Econometrics, Machine Learning, Big Data, Economics of the Internet
📝Top 3 Papers: Estimation and inference of heterogeneous treatment effects using random forests
Identification and inference in nonlinear difference‐in‐differences models
When should you adjust standard errors for clustering?
🎧Podcast: Susan Athey on Machine Learning, Big Data, and Causation (EconTalk)
📽Presentation: Machine Learning and Causal Inference for Personalization (Columbia Data Science Institute)
👩🎓Famous Students: Catherine Tucker (MIT), Scott Duke Kominers (Harvard), Stefan Wager (Harvard)
🏆Awards: Adam Smith Award, National Association of Business Economists (2020)
Best Paper Award, American Economic Journal (2014)
Von Neumann Prize, Rajk László College for Advanced Studies (2019)
📚Top books: Generic Drug Repurposing for COVID-19 and Beyond
Machine Learning Methods Economists Should Know About
Athey through the eyes of others
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Author: Hasti Mighati
