Giovanni Compiani’s research primarily focuses on industrial organization and quantitative marketing, with an emphasis on applying frontier econometric methods. His research has appeared in The Journal of Political Economy, Quantitative Economics, Annual Reviews of Economics and The Econometrics Journal, and is forthcoming in The Review of Economic Studies and Journal of Marketing Research.
Compiani earned PhD, MPhil, and MA degrees all in economics from Yale University. Additionally, he holds MSc and BSc degrees in economics from Bocconi University.
Prior to joining Booth, Compiani was an assistant professor at Haas School of Business where he taught courses in marketing analytics and microeconometrics.
2023 - 2024 Course Schedule
|37105||Data Science for Marketing Decision Making||2023 (Autumn)|