History is littered with forecasts that went badly wrong, a fact sharply illustrated during the recent financial crash and recession. This Oxford Martin policy paper from Professor Sir David Hendry and Dr Felix Pretis examines a fundamental problem in economic forecasting: that many models used in empirical research and for guiding policy have been based on treating observed data, such as unemployment or income levels, as timeless, or ‘stationary’.
All Change! The Implications of Non-stationarity for Empirical Modelling, Forecasting and Policy
23 November 2016
Key Authors
Other Recent Policy Papers
Looking ahead: Synergies between the EU AI Office and UK AISI
Advancing Digital Rights in 2025: Trends, Challenges and Opportunities in the UK, EU and global landscape
The Future of the AI Summit Series
Promising Topics for US–China Dialogues on AI Safety and Governance
Voluntary Industry Initiatives in Frontier AI Governance: Lessons from Aviation and Nuclear Power
Who Should Develop Which AI Evaluations?