Jinke Li joined the School of Management in 2013 as Lecturer in Economics. Previously, he worked as research assistant in the University of Reading. He earned his PhD, MSc and BSc in Economics from the University of Nottingham. His research interests include macroeconomics, monetary economics, and health economics.

Teaching

  • MN-2057 Econometrics 1

    This module provides students with an introduction to econometrics and in particular to the use of Ordinary Least Squares (OLS). The module seeks to provide students with basic assumptions of the OLS model and the consequences for estimation when these assumptions are not met. Students are introduced to the principles of statistical inference and diagnostic testing at a practical level based on the econometric package e-views.

  • MN-2561 Health Economics

    This module applies economic approaches to the global healthcare market.

  • MN-M588 Health Economics

    This module aims to (i) explain the rationale for different national health care financing models; (ii) enable students to understand the principles of economic evaluation and the methods used in health economics; (iii) enable students to critically appraise the validity of the basic principles of economic evaluation.

  • MN-M589 Energy Economics

    The aims of this module are to introduce the economic principles relevant for the energy sector and to highlight some of the most challenging economic issues facing the global energy complex. The intended learning outcome of the module is an understanding of two key economic issues: i) how economic analysis informs the national and international debates on energy sector issues, and ii) how economics research affects energy sector decisions made by industry or government. This module will also help to develop an understanding of the economic issues surrounding renewable energy research, development and deployment at both private and commercial scales.

Supervision

  • Student is on suspension (current)

    Student name:
    PhD
    Other supervisor: Prof Don Webber