as a pseudo real time forecasting exercise, i.e. due account is taken of the pattern of available monthly variables over …

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 …

have been shown to improve forecasting models for various economic and financial series. In the aftermath of the global … financial crisis, modeling and forecasting mortgage demand and subsequent approvals have become a central issue in the banking … number of new mortgage approvals and markedly improve their nowcasting and forecasting performance. …

This paper deals with the estimation of employment equations for Germany, which are to be used for forecasting and …, however, is affected by German reunification and relative factor prices no longer play a significant role. The forecasting …