The Bank of England has kept interest rates unchanged at 3.75%, with significant uncertainty about economic models reducing confidence in forecasts. Model limitations affect how much weight policymakers place on projections.
The monetary policy committee’s 5-4 vote reflected awareness that economic models imperfectly capture reality. The relationships between interest rates, inflation, and growth that models assume can change over time, making forecasts unreliable guides. This creates genuine uncertainty about policy effects.
The Bank uses sophisticated models to generate forecasts like the 0.9% GDP growth and 5.3% unemployment projections. However, these models didn’t predict the inflation surge following pandemic disruptions and Ukraine conflict, raising questions about their reliability. If models can’t forecast major developments, how much should policy rely on them?
Model uncertainty argues for caution—if policymakers aren’t confident about policy effects, moving slowly allows learning from each step. However, it also argues for humility about any single approach. If models are uncertain, diverse views like those between Taylor (advocating 3%) and Greene (warning of errors) might each have validity.
Governor Bailey’s projection that inflation will fall to around 2% by spring comes from models, but he acknowledges uncertainty by endorsing 50-50 odds for March rather than claiming certainty. The detailed quarterly monetary policy report includes fan charts showing wide uncertainty ranges around central forecasts, acknowledging model limitations. Chancellor Reeves’s budget measures, including utility bill cuts and rail fare freezes from April, have more certain mechanical effects on measured inflation than model-dependent interest rate impacts. The inflation forecast of 2.1% by mid-2026 should be understood as a model-dependent estimate with substantial uncertainty.