The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one … forecasting a wide range of macroeconomic variables. Moreover, we analyse to what extent its forecasting accuracy depends on the …

to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …

and forecasting as well as for "what-if" inferring suitable for entities of all sizes. In particular, it allows for …

model used for the measurement of current and forecasting of the future customer profitability. Modern customer … research model uses RFM model to define forecasting variables and neural network, multivariate regression analysis and binary … logistic regression as forecasting methods. This paper shows the ways how proposed methods can be used in process of …

use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial …

Including disaggregate variables or using information extracted from the disaggregate variables into a forecasting … model for an eco- nomic aggregate may improve the forecasting accuracy. In this paper we suggest to use boosting as a method …-out-of-sample forecasting experiment for key Euro area macroeconomic variables is conducted. The results suggest that using boosting to select …