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Yiquan Gu

Professor of Spatial Economics and Industrial Organisation

Departmental Research Seminar Lead

Yiquan Gu Profile Picture

Specialisms

  • Spatial Economics, 
  • Industrial Organisation, 
  • Digital Economy, 
  • Game Theory

Location

HBS 125, Whiteknights Campus

Yiquan is a specialist in Industrial Organisation, Spatial Economics and Game Theoretical modelling, with a particular focus on firm strategy, market efficiency and competition policy in the digital age. He has published a wide array of academic papers in leading journals in industrial economics as well as internationally reputable interdisciplinary outlets.

Yiquan has conducted research for a wide range of funders including the Economic and Social Research Council, the Department for Levelling Up, Housing and Communities, and charitable organisations.

Before joining Henley, Yiquan held posts as Lecturer, Senior Lecturer and Reader in Economics at University of Liverpool Management School. Yiquan studied Management and Computer Science at Tongji University in Shanghai, Finance at the University of Freiburg, and Economics and Game Theory at TU Dortmund University in Germany, where he gained his BSc, MA, and PhD (summa cum laude) qualifications, respectively.

Qualifications

  • PhD in Economics, TU Dortmund University
  • Master of Finance, University of Freiburg
  • BSc Management, Tongji University

Introduction to Data Analysis

The module introduces basic statistical concepts and data analysis, focusing on the real estate environment. It introduces statistical terminology and basic concepts, allowing students to systematically analyse and describe quantitative...

Module code: RE1INDA

Statistics and Quantitative Techniques

This module covers core statistical concepts and basic econometric modelling with a focus on applications in the real estate environment. The main goal is to develop an understanding for applied...

Module code: RE3SQT

Quantitative Techniques

The module covers quantitative techniques and methods and their applications in the context of real estate. It aims to provide students with knowledge in statistics and econometric modelling with a...

Module code: REMF37