Yi Pang

Profile

Yi Pang is a postgraduate researcher, working for his PhD thesis under Prof. Kausik Chaudhuri and Dr. Sandra Lancheros in Economics Department, Leeds University Business School.

He has rich experiences in academic writing and presentation. He is very competent in coding-related skills, such as R, Matlab, Python, Stata, and Visual Basic. He is also familiar with Geo-software using shapefiles, such as ArcGIS and QGIS.

Personal Website: https://sites.google.com/view/yipang/home.

GitHub: https://github.com/kenforex.

Research interests

Yi Pang's research interests encompass both the study of theoretical and applied econometrics. In the field of econometrics, his research primarily focuses on spatial econometric models, large-scale network models, panel data models with cross-sectional heterogeneity, panel data models with structural breaks, machine learning in casual inference, machine learning in financial and economic prediction, etc. Additionally, he is primarily interested in regional and urban studies, property and stock price forecasting, and socio-economic inequality. He believes that through the quantitative analysis of financial, economic and social data, applied economists and policy makers can more easily extract useful information, thereby enhancing financial and economic stability as well as efficiency of policy implementation.

Published Articles: Rodriguez-Gil, A., Raza, A. and Pang, Y., Experiential Learning, Sense of Belonging and Feedback using Economics Games.
(Published in The Economics Network. See https://doi.org/10.53593/n4256a )

Working Papers (Last Update: 08 Aug 2025):

• Drivers of Spatial Spillovers across Local Housing Markets in England and Wales: A Network Analysis Integrated with Machine Learning Methods.
• Estimation with Multiple and Different Cross-sectional Structural Breaks in Heterogeneous Spatial Panels with Latent Multi-factors: Varying Spatial, Direct, and Indirect Effect Analysis on UK Local Housing Markets. (Joint with Kausik Chaudhuri)
• Does Homogeneity and Spatial Spillovers Challenge Market Efficiency in Local House Markets? Evidence from UK. (Joint with Kausik Chaudhuri and Sandra Lancheros Torres)

Qualifications

• Research Assistant for experiential learning innovation (partly funded by Curriculum Redefined)
• Teaching Assistant for LUBS1285, LUBS1951, LUBS2230, and LUBS3505 (2023 - 2025)
• PhD Candidate in Economics, Leeds University Business School (2021 - )
• MSc in Actuarial Finance, Leeds University Business School (2018 - 2019)
• BSc in Mathematics and Applied Mathematics, China University of Mining and Technology (2014 - 2018)