This study introduces and evaluates a bottom-up methodology for projecting the Gross Value-Added of the agricultural sector (agricultural GDP). This approach integrates econometric methods with early crop forecasts, which are released one year ahead of annual production figures by specialized...

This study introduces and evaluates a bottom-up methodology for projecting the Gross Value-Added of the agricultural sector (agricultural GDP). This approach integrates econometric methods with early crop forecasts, which are released one year ahead of annual production figures by specialized...

This paper analyses the macroeconomic implications of a future shift in the age structure of the Swiss population. It estimates the long-run effects for Swiss GDP growth and its components in an Overlapping Generations Model (OLG model). Recent population projections by the Federal Statistical...

This paper analyses the macroeconomic implications of a future shift in the age structure of the Swiss population. It estimates the long-run effects for Swiss GDP growth and its components in an Overlapping Generations Model (OLG model). Recent population projections by the Federal Statistical...

We investigate alternative robust approaches to forecasting, using a new class of robust devices, contrasted with equilibrium correction models.  Their forecasting properties are derived facing a range of likely empirical problems at the forecast origin, including measurement errors, implulses,...

Building on the literature on regularization and dimension reduction methods, we have developed a quarterly forecasting model for euro area GDP. This method consists in bridging quarterly national accounts data using factors extracted from a large panel of monthly and quarterly series including...

This paper proposes a simple procedure to obtain monthly assessments of short-run perspectives for quarterly world GDP and trade. It combines emerging and advanced countries� high frequency information to explain quarterly national accounts variables through bridge models. The union of all...

Parsimoniously specified distributed lag models have enjoyed a resurgence under the MiDaS moniker (Mixed Data Sampling) as a feasible way to model time series observed at very different sampling frequencies. I introduce cointegrating mixed data sampling (CoMiDaS) regressions. I derive asymptotic...

The aim of this paper is to give an overview of typical features of selected European economies in time of the current crisis, to describe behaviour of macroeconomic variables, including various measures of GDP, but also current balance and unemployment rate as factors influencing the GDP...