This paper proposes an empirical investigation of the impact of oil price forecast errors on inflation forecast errors … inflation forecasts for France. Mainly two salient points emerge from our results. First, there is a significant contribution of … oil price forecast errors to the explanation of inflation forecast errors, whatever the country or the period considered …

The difficulty in modelling inflation and the significance in discovering the underlying data generating process of … inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine … learning and econometric methodologies in forecasting the U.S. inflation based on autoregressive and structural models of the …

The purpose of the paper is to introduce the framework for decomposing the forecast of headline inflation, obtained by … inflation forecast, with relatively good fit of equations for food and domestic oil prices. This model serves as satellite model … core inflation. The model for inflation decomposition is a small structural model, set up in state space framework. Kalman …

Much research studies US inflation history with a trend-cycle model with unobserved components. A key feature of this … model is that the trend may be viewed as the Fed's evolving inflation target or long-horizon expected inflation. We provide … a new way to measure the slowly evolving trend and the cycle (or inflation gap), based on forecasts from the Survey of …