Weijie Zhong

Weijie Zhong
Assistant Professor, Economics
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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.

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, 2010–2013

Awards and Honors

  • Padma Desai Dissertation Prize, Columbia University, 2019
  • Dissertation Fellowship, Columbia University, 2018–2019
  • Wueller Pre Dissertation Award, Columbia University, 2016
  • Dean’s Fellowship, Columbia University, 2013–2018


Journal Articles

Qingmin Liu, Konrad Mierendorff, Xianwen Shi, Weijie Zhong. American Economic Review. March 2019, Vol. 109, Issue 3, Pages 876–910.

Working Papers

Optimal Dynamic Information Acquisitiond | PDF
Weijie Zhong, January 202019
Time Preference and Information Acquisition | PDF
Weijie Zhong, December 2017
Selling Information | PDF
Weijie Zhong, March 2016