In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...

In this paper we report results on inflation persistence using 79 inflation series covering the EU countries, the euro area and the US for five different inflation variables. The picture that emerges is one of moderate inflation persistence across the board. In particular we find euro area...

In Lisbon the European Council proclaimed a European growth strategy. It considers an average economic u0093growth rate of around 3 percent as a realistic prospect for the coming yearsu0094 and assigns public finances an important role in the process of achieving this goal. This paper addresses...

We quantify the degree of persistence in unemployment rates of transition countries using a variety of methods benchmarked against the EU. In part of the paper, we work with the concept of linear u0093Hysteresisu0094 as described by the presence of unit roots in unemployment. Since this is...

In the paper we propose a new methodological approach to core in- flation estimation, based on a frequency domain principal components estimator, suited to estimate systems of fractionally cointegrated processes. The proposed core inflation measure is the scaled common persistent factor in...

Equilibrium correction models of the price level are often used to model inflation. Such models assume that the long-run markup of prices over costs is fixed, but this may not be true for the Euro area economy, which has undergone major structural reforms over the last 25 years. We allow for...

The paper presents an incomplete competition model (ICM), where inflation is determined jointly with unit labour cost growth. The ICM is estimated on data for the Euro area and evaluated against existing models, i.e. the implicit inflation equation of the Area Wide model (AWM) - cf. Fagan, Henry...

The rank of the spectral density matrix conveys relevant information in a variety of statistical modelling scenarios. This note shows how to estimate the rank of the spectral density matrix at any given frequency. The method presented is valid for any hermitian positive definite matrix estimate...

This paper applies linear and neural network-based “thick” models for forecasting inflation based on Phillips–curve formulations in the USA, Japan and the euro area. Thick models represent “trimmed mean” forecasts from several neural network models. They outperform the best performing...