We propose the use of Google online search data for nowcasting and forecasting the number of food stamps recipients. We … perform a large out-of-sample forecasting exercise with almost 3000 competing models with forecast horizons up to 2 years …

limited to short-term predictions, the value of Google data for forecasting purposes is episodic, and the improvements in … forecasting accuracy are only modest. The results, obtained by (pseudo) out-of-sample forecast comparison, are robust to a state …

In this report we document the ETLAnow project. ETLAnow is a model for forecasting with big data. At the moment, it …

indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day … 2009. Industrial production can be quite valuable for now- or even forecasting, but only if it is released shortly after … manufacturing purchasing managers' index of the Chinese National Bureau of Statistics help much for now- or forecasting. Our results …

This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … pseudo out-of-sample forecasting exercise with US real-time data yields that the mixed frequency VAR substantially improves …