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Personal profile

Research Interests

Dynamic Games, Application of Big Data in Economics and Econometrics, Matching Theory and Applications

Personal profile

Chee Kian Leong is currently the Director of Teaching for the School of Economics and Curriculum Lead, Quantitative Economics and Econometrics. He was nominated for the Lord Dearing Award in 2017. Prior to his appointment as Director of teaching, Chee Kian was the School of Economics’ exchange coordinator.

Chee Kian researches primarily in dynamic games and has published in the Journal of Mathematical Economics and Dynamic Games and its Applications. He has co-organized an international conference, namely the ISDG-China Chapter Conference on Dynamic Games and Game Theoretic Analysis in the University of Nottingham Ningbo China and has co-edited the new book Frontiers in Games and Dynamic Games.

Besides his game theory research, Chee Kian has published a number of widely cited works applying computational economics and econometrics. His work on text mining of ``small’’ data like short messages, his application of wavelets to time series analysis and his application of Bayesian networks to credit scoring have been cited across disciplines such as computational economics, time series, machine learning, finance, education and engineering. His research on special economic zones has been cited by the Asian Development Bank, the British Broadcasting Corporation (BBC) and the United Nations.

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ECON3070/EK3614 Numerical Methods in Economics (2017-)

ECON3067 Dissertation: Applied Econometrics for Dissertation (Spring Semester)

ECON2032/EK2320 Econometrics I (2012-2019)

EK2420 Econometrics II (2012-2016)

Summer School: Regression Discontinuity (2018)

Dissertation Supervision for both Undergraduate and Postgraduate Students

Person Types

  • Staff


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