of country-specific determinants. This paper shows empirically the superiority of direct forecasting methods, in which …

Forecasting the world economy is a difficult task given the complex interrelationships within and across countries …, first, at ranking various forecasting methods in terms of forecast accuracy and, second, at checking whether methods … forecasting di- rectly aggregate variables (direct approaches)out-perform methods based on the aggregation of country- specific …

walk model suggests that the forecasting performance of the monetary model is superior. …

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 …

variables by aggregation. To investigate the potential gain in using such a large information set, we compare the forecasting …

There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such … as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we … incorporate Google search data into a Bridge Equation Model, a version of which usually belongs to the suite of forecasting models …

We present a model for hourly electricity load forecasting based on stochastically time-varying processes that are … implementation of our forecasting procedure relies on the multivariate linear Gaussian state space framework and is applied to … national French hourly electricity load. The analysis focuses on two hours, 9 AM and 12 AM, but forecasting results are …