We develop a bottom-up model of inflation in the euro area based on a set of augmented Phillips curves for seven subcomponents of core inflation and auxiliary regressions for non-core items. We use the model’s disaggregated structure to explore which factors drove the deterioration in...

The object of this paper is to assess the role of supply shocks, labour market tightness and expectation formation in explaining bouts of inflation. We begin by showing that a quasi-flat Phillips curve, which was popular prior to the pandemic, still fits the post-2020 US data well and that...

Those of professional forecasters do. For a wide range of time series models for the euro area and its member states we find a higher average forecast accuracy of models that incorporate information on inflation expectations from the ECB’s SPF and Consensus Economics compared to their...

This paper focuses on the determination of inflation expectations. The following two questions are examined: How much do inflation expectations reflect different economic and institutional regime shifts and in which way do inflation expectations adjust to past inflation? The basic idea in the...

The paper assesses the performance of medium-term forecasts of euro-area GDP and inflation obtained with a DSGE model and a BVARX model currently in use at the Bank of Italy. The performance is compared with that of simple univariate models and with the Eurosystem projections; the same real time...

This paper assesses the statistical reliability of different measures of the output gap for the Euro-11 area and the US using output, inflation and unemployment systems. In order to assess the reliability of an output gap estimate two criteria are adopted. Firstly, the estimate should have...

The output gap is a key variable of business cycle analysis and policy. Obtaining reliable estimates for it, is very difficult, though. Most real-time estimates are frequently revised over time. The idea of this paper is to use various indicators, for example from business surveys, that (i) were...

We propose a simple modification of the time series filter by Hamilton (2018b) that yields reliable and economically meaningful real-time output gap estimates. The original filter relies on 8-quarter ahead forecasts errors of an autoregression. While this approach yields a cyclical component of...

The output gap is a key variable of business cycle analysis and policy. Obtaining reliable estimates for it, is very difficult, though. Most real-time estimates are frequently revised over time. The idea of this paper is to use various indicators, for example from business surveys, that (i) were...

The authors contribute to the debate regarding the reliability of output gap estimates. As an alternative to the Hodrick-Prescott (HP) filter, they propose a simple modification of the filter proposed by Hamilton in 2018 that shares its favorable real-time properties, but leads to a more even...