Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/212163 
Autor:innen: 
Erscheinungsjahr: 
2010
Schriftenreihe/Nr.: 
Bank of Finland Research Discussion Papers No. 6/2010
Verlag: 
Bank of Finland, Helsinki
Zusammenfassung: 
In his celebrated 1966 Econometrica article, Granger first hypothesized that there is a typical spectral shape for an economic variable. This typical shape implies decreasing levels of energy as frequency increases, which in turn implies an extremely long cycle in economic fluctuations and particulary in growth. Spectral analysis is however based on certain assumptions particulary in that render these basic frequency domain techniques inappropriate for analysing non-stationary economic data. In this paper three recent frequency domain methods for extracting cycles from non-stationary data are used with US real GNP data to analyse fluctuations in economic growth. The findings, among others, are that these more recent frequency domain techniques do not provide evidence to support the typical spectral shape and nor an extremely long growth cycle á la Granger.
Persistent Identifier der Erstveröffentlichung: 
ISBN: 
978-952-462-587-6
Dokumentart: 
Working Paper

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