Dr Kesten Green
Senior Lecturer
School of Accounting and Finance
College of Business and Law
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
A Senior Marketing Scientist with the Ehrenberg-Bass Institute, Kesten is a leading researcher on forecasting methods and applications. He has developed new and better forecasting methods for business and public policy, and his research is widely cited. He has proposed and tested a unifying theory of forecasting, the Golden Rule of Forecasting, and is responsible for a review of evidence confirming the superiority of sophisticatedly simple forecasting methods over complex ones.
Kesten's book The Scientific Method: A Guide to Finding Useful Knowledge (Cambridge 2022) provides checklists to help researchers and stakeholders improve the practice of science. It includes a Foreword by Nobel laureate Vernon L. Smith.
Kesten has testified to Australian Senate Economics References Committee, and provided submissions to the New Zealand Parliament and to the U.S. Congress. He has been consulted by government agencies in New Zealand and the U.S., and his research has been extensively covered in the popular media, including the Australian Financial Review, the London Financial Times and The Wall Street Journal.
Before joining the University of South Australia, he was a founder and director of four businesses including an economic forecasting and consulting firm and a market research firm. Kesten's CV is available from kestencgreen.com.
evidence-based forecasting methods; survey research methods; forecasting decisions; the effects of role, interaction, and conflict on decision making; forecasting for negotiations and strategy in business and warfare; judgmental forecasting methods; the use of analogies in forecasting; forecasting for public policy
Courses I teach
- BUSS 5397 Research for Business Decision Making (2025)
- INFS 5129 Enterprise Analytics for Business Professionals (2025)
- BUSS 5397 Research for Business Decision Making (2024)
- INFS 5129 Enterprise Analytics for Business Professionals (2024)
Available For Media Comment.