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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

Selected Works


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


  • Don Lehmann Award for Best Dissertation-Based Articles, 2021