Although the unstoppable evolution of Information Technology allows nowadays for the treatment of massive socio-economic data, reliable historical data for forecasting are not always widely available for applying statistical models from which significant parameters can be obtained. This becomes a paradox in regional forecasting where data can be widely available but often can be useless. The aim of this work is to present a method for improving forecasting precision with few information. After a brief description of the most popular techniques in this field, an application on regional forecasting with hierarchical conciliation is presented.
"Infinite" data and few information for regional forecast: an applied approach from this paradox / Chiodini, P. M.; Facchinetti, S.; Manzi, G.; Verrecchia, F.. - (2009). (Intervento presentato al convegno Italian Statistical Society Intermediate Meeting - 2009 tenutosi a Pescara, Italy).
"Infinite" data and few information for regional forecast: an applied approach from this paradox
G. Manzi;
2009
Abstract
Although the unstoppable evolution of Information Technology allows nowadays for the treatment of massive socio-economic data, reliable historical data for forecasting are not always widely available for applying statistical models from which significant parameters can be obtained. This becomes a paradox in regional forecasting where data can be widely available but often can be useless. The aim of this work is to present a method for improving forecasting precision with few information. After a brief description of the most popular techniques in this field, an application on regional forecasting with hierarchical conciliation is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
