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The typical spectral shape of an economic variable: a visual guide

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  • Carlos A. Medel

Abstract

Granger (1966) describes how the spectral shape of an economic variable concentrates spectral mass at low frequencies, declining smoothly as frequency increases. His empirical exercise focused on the evidence obtained from a handful of series. In this article, I focus on a broad range of economic variables to investigate their spectral shape. After performing several exercises, the results show that Granger's assertion holds more often than not. Especially fuzzy cases are those that exhibit some degree of transition to a different regime, as are those estimated with a very short bandwidth.

Suggested Citation

  • Carlos A. Medel, 2014. "The typical spectral shape of an economic variable: a visual guide," Applied Economics Letters, Taylor & Francis Journals, vol. 21(14), pages 1017-1024, September.
    • Handle: RePEc:taf:apeclt:v:21:y:2014:i:14:p:1017-1024
    DOI: 10.1080/13504851.2014.904486
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    References listed on IDEAS

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    1. Daniel Levy & Hashem Dezhbakhsh, 2003. "On the typical spectral shape of an economic variable," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 417-423.
    2. Granger, C.W.J. & Watson, Mark W., 1984. "Time series and spectral methods in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 17, pages 979-1022, Elsevier.
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