We suggest a simple non model based procedure to recover a time series from its temporally aggregated realizations. If additional assumptions on the under lying process are intorduced, it is shown that the procedure is related to many of the former proposals in the literature. It can also be...

The debate on the forecasting ability in economics of non-linear models has a long history, and the Great Recession provides us with an opportunity for a re-assessment of the forecasting performance of several classes of non-linear models, widely used in applied macroeconomic research. In this...

We assess to what extent indicators of financial conditions can be considered relevant determinants and predictors of macroeconomic aggregates. The main finding is that controlling for default risk and risk aversion measures improves the forecasts of output, employment and loans, but that this...

This paper aims at providing a primer on the use of big data in macroeconomic nowcasting and early estimation. We discuss: (i) a typology of big data characteristics relevant for macroeconomic nowcasting and early estimates, (ii) methods for features extraction from unstructured big data to...

Different definitions of sustainability and of the empirical counterparts of the variables involved are reviewed in the paper by Michael Artis and Massimiliano Marcellino. They apply retrospective tests for fiscal sustainability along the lines of the paper by Fernandez and de Cos to EU...

This paper analyses the forecasting ability of economic summary indicators in EU economies. We employ the use of Partial Least Squares and Bayesian Shrinkage Regression methods and we predict the growth rates of quarterly GDP and Consumption and monthly Industrial Production. We find evidence...