Central banks

We propose a novel empirical structural inflation model that captures non-linear shock transmission using a Bayesian machine learning framework that combines VARs with non-linear structural factor models. Unlike traditional linear models, our approach allows for non-linear effects at all impulse response horizons. Identification is achieved via sign, zero, and magnitude restrictions within the factor model. Applying our method to euro area energy shocks, we find that inflation reacts disproportionately to large shocks, while small shocks trigger no significant response.

A new partnership, launched at The University of Manchester today, will see existing teachers offered training to deliver A Level economics alongside their core subject.

The recent surge in inflation has led to a significant increase in the frequency of price changes, making prices more flexible. Conventional models assume a constant price change frequency, but in state-dependent models the frequency varies with economic conditions. Price flexibility has an impact on the effectiveness of monetary policy. In high inflation periods, frequent price changes make monetary policy more effective in reducing inflation with less impact on economic activity. Therefore, monetary policy should be more aggressive during such periods to stabilise prices efficiently.

This paper investigates the role of mortgage refinancing in shaping the estimates of marginal propensity to consume (MPC) and its implications for fiscal policy. Using U.S. household data, we find that MPCs decrease during the year of mortgage refinancing and stabilize afterwards, particularly among households with lower liquid assets, higher debtto-income ratios, and valuable illiquid assets. The empirical evidence suggests that refinancing provides extra liquidity, reducing MPCs.