evidence of autonomous variance breaks and inflation gap persistence. Through a real-time out-of-sample forecasting exercise …This paper revisits inflation forecasting using reduced-form Phillips curve forecasts, that is, inflation forecasts … inflation, a host of real-activity data, term structure data, nominal data, and surveys. In each individual specification, we …

-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 …

In this paper, we study the fit and the predictive performance of the Phillips curve for euro area inflation with … regard to different inflation series, time periods and predictor variables, notably different global factors. We compare the … prices, global consumer inflation, global economic slack and foreign demand. We find that traditional global indicators such …

We estimate an empirical model of inflation that exploits a Phillips curve relationship between a measure of … unemployment and a subaggregate measure of inflation (services). We generate an aggregate inflation forecast from forecasts of the … statistics for models that exploit relationships between services inflation and the unemployment rate. In addition, models of …

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 …

This paper revisits the accuracy of inflation forecasting using activity and expectations variables. We apply Bayesian … values of inflation, a host of real activity data, term structure data, nominal data and surveys. In this model average we … can entertain different channels of structural instability, either by incorporating stochastic breaks in the regression …