Kosuke Uetake
Associate Professor of Marketing
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.
Education
- PhD, Northwestern University, 2013
- MA, Northwestern University, 2009
- MA, University of Tokyo, 2007
- BA, University of Tokyo, 2005
Selected Works
Articles
- Signaling in Online Credit Markets
K. Kawai, K. Onishi, and K. Uetake
Journal of Political Economy - Forthcoming
- A Structural Model of Multi-tasking Salesforce: Job Task Allocation and Incentive Plan Design
M. Kim, K. Sudhir, and K. Uetake - Management Science
- Forthcoming
- Taxation and Market Power in Legal Marijuana Industry
B. Hollenbeck and K. Uetake
RAND Journal of Economics - Volume 52 (3)
2021 - Designing Context-Based Marketing: Product Recommendation Under Time Pressure
K. Kawaguchi, K. Uetake, and Y. Watanabe
Management Science
Volume 67(9)
2021 - Mergers, Innovation, and Entry/Exit Dynamics: Consolidation in the HDD Industry
M. Igami and K. Uetake
Review of Economic Studies
Volume 87(6)
2020 - Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program
K. Uetake and N. Yang
Marketing Science
Volume 39
2020 - When Salespeople Manage Customer Relationships: Multidimensional Incentives and Private Information
M. Kim, K. Sudhir, K. Uetake, and R. Canales
Journal of Marketing Research
Volume 56
2019 - Effectiveness of Product Recommendations Under Time and Crowd Pressures
K. Kawaguchi, K. Uetake, and Y. Watanabe
Marketing Science
Volume 38
2019
Working Papers
- When to Target Customers? Retention Management using Dynamic Off-Policy Policy Learning
K. Uetake and Kohei Yata
KDD MLCM 2021 Workshop - August 2021
- Entry by Merger: Estimates from a Two-Sided Matching Model with Externalities
K. Uetake and Yasutora Watanabe - December 2020
Attentive and Inattentive TV Viewing: Evidence from Baseball Telecasts
K. Uetake, Xiao Liu and Matt Shum- March 2021
- Pricing Mechanism in Online Credit Markets
K. Uetake - 2020
Achievements
- Don Lehmann Award for Best Dissertation-Based Articles, 2021