Finding a good forecasting model in a data-rich environment is a complex problem which challenges forecasters and statistical methods. In such an environment, automated modelling strategies are necessary for an efficient use of the information in ...

Macroeconomic data are indispensable for modern governance, yet it is often unclear how reliable these data are. The production process of macroeconomic data inside the statistical offices is often not very transparent for the general public ...

This paper uses several recent advances in time-varying spectral methods to analyse the growth cycles of the core of the euro area in terms of frequency content and phasing of cycles. There are two main findings. First that coherence and phasing ...

According to the Commission recommendations, ISAE has recently restructured the methodological framework of its survey on firms operating in the Italian construction sector and in retail trade. The innovations specifically regard the sampling design ...