
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.
Expertise
Education
- PhD, Northwestern University, 2013
- MA, Northwestern University, 2009
- MA, University of Tokyo, 2007
- BA, University of Tokyo, 2005
Courses
- International Experience: Japan MGT 416
- Big Data & Customer Analytics MGT 556
- Cancelled: Advanced Customer Analytics MGT 860
Selected Articles
Designing Context-Based Marketing: Product Recommendation under Time Pressure
Mergers, Innovation, and Entry/Exit Dynamics: The Consolidation of the Hard Disk Drive Industry
A Note on Estimation of Two-Sided Matching Models
Effectiveness of Product Recommendations under Time and Crowd Pressures
Behavioral Analytics: Strategies for Integrating Behavioral Science with Machine Learning
Working Papers
Signaling in Online Credit Markets
A Structural Model of Multi-tasking Salesforce with Private Information: Job Design and Incentive Design
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
Editorships
- Japanese Economic Review Associate Editor