This paper deals with the topic of revisions in macroeconomic Italian data with the aim of investigating whether consecutive vintages published by the National Statistical Institute contain useful information for economic analysis and forecasting. The rationality of the revisions process is tested considering the complete history of data and an application to show the usefulness of revisions for improving the precision of forecasts is proposed. The results on Italian GDP show that embedding the revision process in a dynamic factor model helps to reduce the forecast error in the short term.

Revisions in official data and forecasting / Raponi, Valentina; C., Frale. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - STAMPA. - (2014). [10.1007/s10260-014-0262-y]

Revisions in official data and forecasting

RAPONI, VALENTINA;
2014

Abstract

This paper deals with the topic of revisions in macroeconomic Italian data with the aim of investigating whether consecutive vintages published by the National Statistical Institute contain useful information for economic analysis and forecasting. The rationality of the revisions process is tested considering the complete history of data and an application to show the usefulness of revisions for improving the precision of forecasts is proposed. The results on Italian GDP show that embedding the revision process in a dynamic factor model helps to reduce the forecast error in the short term.
2014
Data revisions Real-time dataset Mixed frequency Dynamic factor model
01 Pubblicazione su rivista::01a Articolo in rivista
Revisions in official data and forecasting / Raponi, Valentina; C., Frale. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - STAMPA. - (2014). [10.1007/s10260-014-0262-y]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/559360
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