-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 …

heteroskedastic. After presenting the model, we propose a multi-step estimation technique which combines asymptotic principal … results in order to assess the finite sample properties of the estimation technique. Finally, we carry out two empirical … applications respectively on macroeconomic series, with a particular focus on different measures of inflation, and on financial …

Density forecasts of euro area inflation are a fundamental input for a medium-term oriented central bank, such as the … euro area (headline and core) inflation and a large set of determinants, is competitive with state-of-the-art linear … ECB point inflation forecasts, displaying similar deviations from “linearity”. Given that the ECB modelling toolbox is …

This paper formalizes the process of updating the nowcast and forecast on out-put and inflation as new releases of data … Philadelphia surveys have a large marginal impact on the nowcast of both inflation variables and real variables and this effect is … sizeable. Prices and quantities affect the precision of the estimates of inflation while GDP is only affected by real variables …

This paper proposes methods for estimation and inference in multivariate, multi-quantile models. The theory can …

, consumption, investment and unemployment) has a distinct dynamic from disagreement about nominal variables (inflation and interest … nominal series. Country-by-country regressions for inflation and interest rates reveal that both the level of disagreement and …