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 PaviaFile | Dimensione | Formato | |
---|---|---|---|
Baiardi & Bianchi_2012.pdf
accesso aperto
Dimensione
303.55 kB
Formato
Adobe PDF
|
303.55 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.