• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • PhD Vacancies
      • Selected PhD Placements
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community
 placeholder

Yi He

Research Fellow

University
University of Amsterdam
Research field
Econometrics
Interests
Econometric Theory, Econometrics, Financial Econometrics, Risk Management

Biography

Yi He is an assistant professor at Amsterdam School of Economics, University of Amsterdam. He received his PhD from Tilburg University and worked at Monash University before joining UvA. His research focuses on high-dimensional econometrics, financial econometrics, extreme value analysis and machine learning. His works have been published on JRSS-b, JBES and AoS.

List of publications

He, Y. (2024). Ridge Regression Under Dense Factor Augmented Models Journal of the American Statistical Association, 119(546):1566--1578.

He, Y., Jaidee, S. and Gao, J. (2023). Most powerful test against a sequence of high dimensional local alternatives Journal of Econometrics, 234(1):151--177.

He, Y., Hou, Y., Peng, L. and Sheng, J. (2019). Statistical Inference for a Relative Risk Measure Journal of Business and Economic Statistics, 37(2):301--311.