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Long cycles in growth : explorations using new frequency domain techniques with US data

Listed author(s):
  • Crowley, Patrick M.

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.

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File URL: https://helda.helsinki.fi/bof/bitstream/123456789/7662/1/165485.pdf
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Paper provided by Bank of Finland in its series Research Discussion Papers with number 6/2010.

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Date of creation: 2010
Handle: RePEc:bof:bofrdp:2010_006
Contact details of provider: Postal:
Bank of Finland, P.O. Box 160, FI-00101 Helsinki, Finland

Web page: http://www.suomenpankki.fi/en/

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