persistence of U.S. inflation. We evaluate these features by comparing the out-of-sample forecast performance of two … errors depends on the level of inflation. The results of the comparison show that the parametric quantile forecasts are at … least as accurate as the semi-parametric QAR model, in particular for the core inflation measures. This leads us to conclude …

We test for bias and efficiency of the ECB inflation forecasts using a confidential dataset of ECB macroeconomic … quarterly projections. We investigate whether the properties of the forecasts depend on the level of inflation, by … distinguishing whether the inflation observed by the ECB at the time of forecasting is above or below the target. The forecasts are …

We propose to regard the central banker as a risk manager who aims to contain inflation within pre-specified bounds. We …

We test for bias and efficiency of the ECB inflation forecasts using a confidential dataset of ECB macroeconomic … quarterly projections. We investigate whether the properties of the forecasts depend on the level of inflation, by … distinguishing whether the inflation observed by the ECB at the time of forecasting is above or below the target. The forecasts are …

We test for state-dependent bias in the European Central Bank's inflation projections. We show that the ECB tends to … underpredict when the observed inflation rate at the time of forecasting is higher than an estimated threshold of 1.8%. The bias is … most pronounced at intermediate forecasting horizons. This suggests that inflation is projected to revert towards the …

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 … deflator inflation rates for the United States in the post-World War II period. Over the full 1960-2008 sample, the framework …

-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 …