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Assistant Professor of Economics

Jianfei Cao studies applied and theoretical econometrics. His research has chiefly been in the areas of machine learning methods in economic applications, causal inference in comparative case studies, and weak identification. His most recent research has studied the use of unsupervised learning methods in forming clustering structures used in problems involving estimation and inference of causal effects.

  • Education

    PhD 2021, University of Chicago Booth School of Business

  • Contact

  • Address

    301 Lake Hall

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