U.S. economy. First, we use a factor model to extract a series for the common component in GDP from a large panel of …

model of the inverse cumulative distribution function of the standard distribution, using several formal forecasting and … significant forecasting power in terms of real economic activity but the results differ qualitatively between the individual …

literature. Finally, we show that factors extracted from our data set are useful for forecasting a range of macroeconomic series … factors extracted from this data set exhibit similar behavior to those extracted from the original Stock and Watson data set …. The dominant factors are shown to be insensitive to outliers, but outliers do affect the relative influence of the series …

end of the post-Soviet recession (the year 2000) we have formulated the hypotheses concerning the factors preceding …

This paper derives forecasts for euro area real GDP growth based on a bottom up approach from the production side. That … is, GDP is forecast via the forecasts of value added across the different branches of activity, which is quite new in the … indicators are used to bridge the gap of missing GDP data. The process of selecting the best performing equations is accomplished …

German GDP. Our recursive out-of-sample forecast evaluation results reveal that our framework is able to generate forecasts …

We present a comprehensive disaggregate approach for short-term forecasting economic activity in Germany by explicitly … taking into account the supply or production side and the demand side of GDP. The GDP figures calculated by the two sides … usually yield different results and the official GDP release is somewhere in between. We make use of this statistical …

This paper presents a framework for quantifying uncertainty around point forecasts for GDP, inflation and house prices …