This paper proposes a high-frequency coincident economic activity indicator, constructed according to the dynamic factor model methodology introduced by Stock and Watson (1998a,b). The principal component analysis is used to summarize the information contained in a large dataset in a limited number of common factors, capable of capturing the main features of local business cycles. The EM (Expectation Maximization) algorithm then allows to obtain an estimate of the year-to-year variation of regional GDP or provincial value added. The exercise is applied to Lombardy and to the provinces of Milan and Pavia

Baiardi, D., Bianchi, C. (2012). Come misurare l’evoluzione congiunturale a livello locale? Una proposta metodologica. SR SCIENZE REGIONALI, 11(2), 73-100.

Come misurare l’evoluzione congiunturale a livello locale? Una proposta metodologica

BAIARDI, DONATELLA;
2012

Abstract

This paper proposes a high-frequency coincident economic activity indicator, constructed according to the dynamic factor model methodology introduced by Stock and Watson (1998a,b). The principal component analysis is used to summarize the information contained in a large dataset in a limited number of common factors, capable of capturing the main features of local business cycles. The EM (Expectation Maximization) algorithm then allows to obtain an estimate of the year-to-year variation of regional GDP or provincial value added. The exercise is applied to Lombardy and to the provinces of Milan and Pavia
Articolo in rivista - Articolo scientifico
coincident economic activity indicators, italian regions, diffusion indexes
English
2012
11
2
73
100
open
Baiardi, D., Bianchi, C. (2012). Come misurare l’evoluzione congiunturale a livello locale? Una proposta metodologica. SR SCIENZE REGIONALI, 11(2), 73-100.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/74217
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