Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK

Factor based forecasting has been at the forefront of developments in the macroeconometric forecasting literature in the recent past. Despite the flurry of activity in the area, a number of specification issues such as the choice of the number of factors in the forecasting regression, the benefits of combining factor-based forecasts and the choice of the dataset from which to extract the factors remain partly unaddressed. This paper provides a comprehensive empirical investigation of these issues using data for the euro area, the six largest euro area countries, and the UK. JEL Classification: C100, C150, C530Factors, Forecast Combinations, Large Datasets

Forecasting using Bayesian and Information Theoretic Model Averaging: An Application to UK Inflation

In recent years there has been increasing interest in forecasting methods that utilise large datasets, driven partly by the recognition that policymaking institutions need to process large quantities of information. Factor analysis is one popular way of doing this. Forecast combination is another, and it is on this that we concentrate. Bayesian model averaging methods have been widely advocated in this area, but a neglected frequentist approach is to use information theoretic based weights. We consider the use of model averaging in forecasting UK inflation with a large dataset from this perspective. We find that an information theoretic model averaging scheme can be a powerful alternative both to the more widely used Bayesian model averaging scheme and to factor models.Forecasting, Inflation, Bayesian model averaging, Akaike criteria, Forecast combining

A State Space Approach to Extracting the Signal from Uncertain Data

Most macroeconomic data are uncertain - they are estimates rather than perfect measures of underlying economic variables. One symptom of that uncertainty is the propensity of statistical agencies to revise their estimates in the light of new information or methodological advances. This paper sets out an approach for extracting the signal from uncertain data. It describes a two-step estimation procedure in which the history of past revisions are first used to estimate the parameters of a measurement equation describing the official published estimates. These parameters are then imposed in a maximum likelihood estimation of a state space model for the macroeconomic variable.Real-time data analysis, State space models, Data uncertainty, Data revisions

Potential output from a euro area perspective

This paper reviews potential output from a euro area perspective by summarising the developments according to international institutions and assessing the impact of the crisis. The paper also considers the methodological basis for potential output estimates, and the high degree of uncertainty that surrounds them. Although it is too early to see the full effects of structural reforms implemented since 2007/08, further structural reforms are needed to support euro area potential growth, especially in view of the negative impact that population ageing is expected to have on potential growth in the future

Sectoral specialisation in the EU a macroeconomic perspective

This paper analyses trends in sectoral specialisation in the EU and concludes the following: 1) The European production structure appears more homogenous than that of the US. 2) While sectoral specialisation has shown a slight increase in some smaller euro area countries towards the end-1990s, it is too early to detect any potential impact of EMU. 3) Despite some changes in sectoral composition, the business cycles of euro area countries became more synchronised over the 1990s, which may be seen as reassuring from the point of view of the single monetary policy. 4) Sectoral re-allocation accounts for as much as 50% of the increase in labour productivity growth in business sector services in the euro area. 5) The slowdown of European labour productivity growth relative to the US since the mid-1990s is explained by a stronger performance in the US wholesale and retail trade, financial intermediation and high-tech manufacturing sectors.

Sectoral specialisation in the EU a macroeconomic perspective

This paper analyses trends in sectoral specialisation in the EU and concludes the following: 1) The European production structure appears more homogenous than that of the US. 2) While sectoral specialisation has shown a slight increase in some smaller euro area countries towards the end-1990s, it is too early to detect any potential impact of EMU. 3) Despite some changes in sectoral composition, the business cycles of euro area countries became more synchronised over the 1990s, which may be seen as reassuring from the point of view of the single monetary policy. 4) Sectoral re-allocation accounts for as much as 50% of the increase in labour productivity growth in business sector services in the euro area. 5) The slowdown of European labour productivity growth relative to the US since the mid-1990s is explained by a stronger performance in the US wholesale and retail trade, financial intermediation and high-tech manufacturing sectors