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Many contemporaneously aggregated variables have stochastic aggregation weights. We compare different forecasts for … and the aggregation weights, and a forecast which aggregates univariate forecasts for individual disaggregate components … and the aggregation weights. In empirical illustrations based on aggregate GDP and money growth rates, we find forecast …
Persistent link: https://www.econbiz.de/10009141837
explicit aggregation over firms. The aggregate model is estimated for the FRG. …
Persistent link: https://www.econbiz.de/10010958390
Aggregation may be harmful but cannot always be avoided in the analysis of complex econometric models. It should be … carried out intelligently by choosing ein aggregative model optimally for modes of aggregation speeified in advance, i ….e. minimizing the bias introduced by aggregation and mea-sured by a formula based on the mean-square forecast error. This leads to …
Persistent link: https://www.econbiz.de/10010958477
of the problem of choosing an aggregative model optimally for modes of aggregation specified in advance leads to a … formula for the aggregation bias based on the mean-square forecast error. Taking this formula as objective function one would … wish to choose a grouping that minimizes aggregation bias. Unfortunately this results in an optimization problem of a high …
Persistent link: https://www.econbiz.de/10010958484
Including disaggregate variables or using information extracted from the disaggregate variables into a forecasting model for an economic aggregate may improve the forecasting accuracy. In this paper we suggest to use the boosting method to select the disaggregate variables which are most helpful...
Persistent link: https://www.econbiz.de/10010960087