Weijie Zhong

Assistant Professor of Economics
Academic Area:
Weijie Zhong

Research Interests

  • Dynamic Learning
  • Mechanism Design
  • Market Design

Academic Degrees

  • PhD in Economics, Columbia University, 2019
  • BSc in Mathematics and Physics, Tsinghua University, 2013
  • BA in Economics, Tsinghua University, 2010–13

Awards and Honors

  • Fletcher Jones Faculty Scholar for 2021–22
  • Padma Desai Dissertation Prize, Columbia University, 2019
  • Dissertation Fellowship, Columbia University, 2018–19
  • Wueller Pre Dissertation Award, Columbia University, 2016
  • Dean’s Fellowship, Columbia University, 2013–18

Research Statement

Weijie Zhong is a microeconomic theorist interested in how information interacts with individual’s behavior and market outcomes. His recent research explores the optimal way to acquire information dynamically to facilitate decision-making. It provides an optimization foundation for endogenous breakthroughs in innovation.

Journal Articles

Weijie Zhong
Econometrica
July 2022 Vol. 90 Issue 4 Pages 1537–1582
Qingmin Liu, Konrad Mierendorff, Xianwen Shi, Weijie Zhong
American Economic Review
March 2019 Vol. 109 Issue 3 Pages 876–910

Working Papers

Benjamin HĂ©bert, Weijie Zhong July 1, 2022
Weijie Zhong January 20, 2019
Weijie Zhong March 2016