Bache details research models for policy decisions
Norges Bank Governor Ida Wolden Bache presented on the diverse role of research-based models in monetary policy decision-making. She highlighted how various models, from data-driven to structural, serve different purposes in forecasting and understanding economic dynamics.
Diverse models, specific insights
Bache outlined how Norges Bank employs a range of research models tailored for distinct purposes.
These include data-driven models utilizing large datasets and machine learning for short-term forecasting, the main macro model (NEMO) for medium-term projections, and alternative models for understanding structural developments.
Micro data analysis, for instance, indicates a significant cash-flow channel of monetary policy.
Research by Ahn, Galaasen, and Mæhlum (2024) shows that a 1 percentage point interest rate increase has a notable effect on consumption, particularly for households with higher debt-to-income ratios, with effects visible within six to twelve months.
This multi-model approach ensures a comprehensive understanding of economic forces.
Policy's gradual inflation impact
The presentation also detailed the gradual impact of monetary policy rate hikes on inflation.
Following a 0.25 percentage point increase in the 6-month money market rate, CPI-ATE inflation in Norway gradually declines, with effects becoming apparent over several months.
This decline is observed in both domestic and imported inflation components.
Interestingly, rents show a near-term increase before also beginning to decline, a nuance highlighted by Aastveit, Knut Are, and Nicolò Maffei-Faccioli (2026) in their forthcoming research.
These findings underscore the lagged and complex transmission mechanisms of monetary policy.
Models as crucial guides
This presentation underscores the critical role of diverse research models in informing complex monetary policy choices, moving beyond single-model reliance.
While the findings on inflation and the cash-flow channel offer valuable insights, the inherent uncertainties in economic forecasting mean models are guides, not definitive predictors.
This continuous integration of new research is vital for central banks to adapt to evolving economic dynamics and refine their policy tools.