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Weijie Zhong
Weijie Zhong
Assistant Professor, Economics
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WeijieZhong
Assistant Professor of Economics
Academic Area: 
Economics

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

Publications

Journal Articles

Auctions with Limited Commitment
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
Indirect Information Measure and Dynamic Learning | PDF
Weijie Zhong, June 2017
Selling Information | PDF
Weijie Zhong, March 2016