Kosuke Uetake’s research interests include quantitative marketing, industrial organization, and applied microeconomics. His current work focuses on the design of online platforms and understanding the role of asymmetric information in C2C platforms.
Kosuke's recent research also studies healthcare Big Data using machine learning techniques to tackle obesity. His research also studies mergers and industry dynamics in high-tech industries. He earned a bachelor’s degree in economics from University of Tokyo and a PhD in economics from the Northwestern University.
- PhD, Northwestern University, 2013
- MA, Northwestern University, 2009
- MA, University of Tokyo, 2007
- BA, University of Tokyo, 2005
Signaling in Online Credit Markets
Behavioral Analytics: Strategies for Integrating Behavioral Science with Machine Learning
Pricing Mechanism in Online Credit Markets
Success Breeds Success: Weight Loss Dynamics in the Presence of Short-Term and Long-Term Goals
Strategic Network Formation and Performance in the Venture Capital Industry
Entry by Merger: Estimates from a Two-Sided Matching Model with Externalities
- Don Lehmann Award for Best Dissertation-Based Articles, 2021