Boyuan Zhang

Boyuan Zhang

Graduate Student in Economics

University of Pennsylvania


I am a fifth-year Ph.D. candidate in Economics at the University of Pennsylvania.

My research interests include time series econometrics, Bayesian analysis, panel data models, applied macroeconomics, and machine learning. Most of my work focus on econometric forecasting. My recent projects are focused on grouped heterogeneity in dynamic panel data models. In particular, I’m interested in bring prior knowledge on the latent group structure into the model and explore the predictive gain over prevailing panel data estimators. It is an exciting topic that involves panel data model estimation and semi-supervised learning.


  • Econometrics
  • Applied Macroeconomics
  • Panel Data Model
  • Machine Learning


  • Ph.D. in Economics, 2017 - 2023 (Expected)

    University of Pennsylvania

  • M.S. in Statistics, 2016

    University of Illinois at Urbana-Champaign

  • B.S. in Physics, 2014

    Renmin University of China


Working Papers

Work in Progress


  • The 13th Annual Society for Financial Econometrics (SoFiE) Conference - virtual (June 2021)
  • International Association for Applied Econometrics (IAAE) 2021 Annual Conference - virtual (June 2021)
  • Canadian Economics Association Conference 2021 - virtual (June 2021)
  • The 25th International Conference on Computing in Economics and Finance - Ottawa, Canada (June 2019)


University of Pennsylvania

Recitation Instructor

  • Econ 002: Introductory Economics: Macroeconomics (2018 Fall)
  • Econ 002: Introductory Economics: Macroeconomics (2019 Spring)