In general, central banks are concerned with keeping the inflation rate stable while also sustaining output close to an … efficient level. Under "inflation targeting", forecasts of the evolution of the general price level are an essential input for … policy decisions and these are usually released in quarterly "Inflation Reports". The costs and benefits of transparency in …

-mean autoregressive model can be used to describe characteristic features in inflation series. This implies that we decompose the … inflation process into a slowly moving nonstationary component and dynamic short-run fluctuations around it. An important … quantity to be forecast. This makes it possible to form a single model-based inflation forecast that also incorporates the …

-mean autoregressive model can be used to describe characteristic features in inflation series. This implies that we decompose the … inflation process into a slowly moving nonstationary component and dynamic short-run fluctuations around it. An important … quantity to be forecast. This makes it possible to form a single model-based inflation forecast that also incorporates the …

Inflation expectation is acknowledged to be an important indicator for policy makers and financial investors. To … capture a more accurate real-time estimate of inflation expectation on the basis of financial markets, we propose an arbitrage …-free model across different countries in a multi-maturity term structure, where we first estimate inflation expectation by …

The purpose of the paper is to introduce the framework for decomposing the forecast of headline inflation, obtained by … core inflation. The model for inflation decomposition is a small structural model, set up in state space framework. Kalman … filter procedure is applied to filter the future paths of CPI components, given projected headline inflation obtained by …

equilibrium exists. We study the response differences in the dynamics of the inflation rate to changes in the mean and variance of … the Great Recession, in which the effects of greater model uncertainty may have played a role in keeping inflation rates …

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 …