IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v21y2014i14p1017-1024.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2014.904486
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2014.904486?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sibani, Paolo & Rasmussen, Steen, 2020. "Human wealth evolution: Trends and fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    2. Fousekis, Panos & Tzaferi, Dimitra, 2021. "Returns and volume: Frequency connectedness in cryptocurrency markets," Economic Modelling, Elsevier, vol. 95(C), pages 13-20.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Levy, Daniel & Dezhbakhsh, Hashem, 2003. "International Evidence on Output Fluctuation and Shock Persistence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 50(7), pages 1499-1530.
    2. Medel, Carlos A., 2014. "The Typical Spectral Shape of an Economic Variable: A Visual Guide with 100 Examples," MPRA Paper 53584, University Library of Munich, Germany.
    3. Leon, Costas & Eeckels, Bruno, 2009. "A Dynamic Correlation Approach of the Swiss Tourism Income," MPRA Paper 15215, University Library of Munich, Germany.
    4. Crowley, Patrick M., 2010. "Long cycles in growth: explorations using new frequency domain techniques with US data," Bank of Finland Research Discussion Papers 6/2010, Bank of Finland.
    5. Crowley, Patrick M. & Lee, Jim, 2005. "Decomposing the co-movement of the business cycle : a time-frequency analysis of growth cycles in the euro area," Research Discussion Papers 12/2005, Bank of Finland.
    6. Lauridsen, J. & Kosfeld, R., 2004. "A wald Test for Spatial Nonstationarity," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-12, Diciembre.
    7. Callen, Michael & Imbs, Jean & Mauro, Paolo, 2015. "Pooling risk among countries," Journal of International Economics, Elsevier, vol. 96(1), pages 88-99.
    8. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2016. "Signals from the government: Policy disagreement and the transmission of fiscal shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 107-118.
    9. Levy, Daniel & Dezhbakhsh, Hashem, 2003. "On the Typical Spectral Shape of an Economic Variable," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(7), pages 417-423.
    10. Crowley, Patrick M., 2010. "Long cycles in growth : explorations using new frequency domain techniques with US data," Research Discussion Papers 6/2010, Bank of Finland.
    11. Steel, Mark F. J. & Richard, Jean-Francois, 1991. "Bayesian multivariate exogeneity analysis : An application to a UK money demand equation," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 239-274.
    12. Bruno Eeckels & George Filis & Costas Leon, 2012. "Tourism Income and Economic Growth in Greece: Empirical Evidence from Their Cyclical Components," Tourism Economics, , vol. 18(4), pages 817-834, August.
    13. Benk, Szilárd & Gillman, Max & Kejak, Michal, 2010. "A banking explanation of the US velocity of money: 1919-2004," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 765-779, April.
    14. Mohammad Ahmed, 1992. "Pakistan's Exchange Rate Policy: An Econometric Investigation," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 31(1), pages 49-74.
    15. Crowley, Patrick M., 2009. "How do you make a time series sing like a choir? : Using the Hilbert-Huang transform to extract embedded frequencies from economic or financial time series," Research Discussion Papers 32/2009, Bank of Finland.
    16. Benk, Szil rd & Gillman, Max & Kejak, Michal, 2008. "US Volatility Cycles of Output and Inflation, 1919-2004: A Money and Banking Approach to a Puzzle," Cardiff Economics Working Papers E2008/28, Cardiff University, Cardiff Business School, Economics Section.
    17. Crowley, Patrick M., 2009. "How do you make a time series sing like a choir? Using the Hilbert-Huang transform to extract embedded frequencies from economic or financial time series," Bank of Finland Research Discussion Papers 32/2009, Bank of Finland.
    18. Crowley, Patrick M. & Lee, Jim, 2005. "Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area," Bank of Finland Research Discussion Papers 12/2005, Bank of Finland.
    19. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    20. David E. Giles & Chad N. Stroomer, 2004. "Identifying the Cycle of a Macroeconomic Time-Series Using Fuzzy Filtering," Econometrics Working Papers 0406, Department of Economics, University of Victoria.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:21:y:2014:i:14:p:1017-1024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.