David Bholat, Nida Broughton, Janna Ter Meer and Eryk Walczak
Clear communications are important for central banks at a time when their responsibilities have increased but trust in public institutions has declined. Using an online experiment with a representative sample of the UK population, our recent paper measured how differently styled summaries of the Inflation Report impacted public comprehension and trust in its policy messages. We find that a new ‘Visual Summary’ of the Inflation Report, which makes use of graphics and simpler language, increases understanding of policy messages. And making more changes using insights from behavioural science can further increase public understanding. These changes also somewhat increase people’s trust in the information. Continue reading
Aakash Mankodi and Tim Pike
Tetlock and Gardner’s acclaimed work on Superforecasting provides a compelling case for seeing forecasting as a skill that can be improved, and one that is related to the behavioural traits of the forecaster. These so-called Superforecasters have in recent years been pitted against experts ranging from U.S intelligence analysts to participants in the World Economic Forum, and have performed on par or better by accurately predicting the outcomes of a broad range of questions. Sounds like music to a central banker’s ears? In this post, we examine the traits of these individuals, compare them with economic forecasting and draw some related lessons. We conclude that considering the principles and applications of Superforecasting can enhance the work of central bank forecasting.
The Centre for Central Banking Studies recently hosted their annual Chief Economists Workshop, whose theme was “What can policymakers learn from other disciplines”. In this guest post, one of the keynote speakers at the event, David Halpern, CEO of the Behavioural Insights Team, argues that insights from behaviour science can improve the design and effectiveness of economic policy interventions.
Behaviour science has had major impacts on policy in recent years. Introducing a more realistic model of human behaviour – to replace the ‘rational’ utility-maximizer – has enabled policymakers to boost savings; increase tax payments; encourage healthier choices; reduce energy consumption; boost educational attendance; reduce crime; and increase charitable giving. But there remain important areas where its potential has yet to be realised, including macroeconomic policy and large areas of regulatory practice. Businesses, consumers, and even regulators are subject to similar systematic biases to other humans. These include overconfidence; being overly influenced by what others are doing; and being influenced by irrelevant information. The good news is that behavioural science offers the prospect of helping regulators address some of their most pressing issues. This includes: anticipating and addressing ‘animal spirits’ that drive bubbles or sentiment-driven slowdowns; reducing corrupt market practices; and encouraging financial products that are comprehensible to humans.