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On the Typical Spectral Shape of an Economic Variable

Author

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  • Daniel Levy

    (Bar-Ilan & Emory)

  • Hashem Dezhbakhsh

    (Emory)

Abstract

In a classical article, Granger (1966) argued that the levels of most economic time series have spectra that exhibit a smooth declining shape with considerable power at very low frequencies. He termed it "the typical spectral shape of an economic variable." Granger's assertion has not been examined systematically with international data. We estimate output level spectra for 58 countries, divided into developed, high- income developing, and low-income developing groups. We find the shapes of the estimated spectra to be strikingly similar to Granger's typical shape, particularly for the developed countries.

Suggested Citation

  • Daniel Levy & Hashem Dezhbakhsh, 2004. "On the Typical Spectral Shape of an Economic Variable," Macroeconomics 0402017, EconWPA.
  • Handle: RePEc:wpa:wuwpma:0402017
    Note: Type of Document - pdf; prepared on Win 98; to print on Any printer; pages: 17; figures: Figures are included
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    References listed on IDEAS

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    5. Levy, Daniel & Dezhbakhsh, Hashem, 2003. "International evidence on output fluctuation and shock persistence," Journal of Monetary Economics, Elsevier, vol. 50(7), pages 1499-1530, October.
    6. Lucas, Robert E, Jr, 1980. "Two Illustrations of the Quantity Theory of Money," American Economic Review, American Economic Association, vol. 70(5), pages 1005-1014, December.
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    13. King, Robert G & Watson, Mark W, 1996. "Money, Prices, Interest Rates and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 35-53, February.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Kufenko, Vadim, 2016. "Spurious periodicities in cliometric series: Simultaneous testing," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 48/2016, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    5. Rania Jammazi & Chaker Aloui, 2014. "Cyclical components and dual long memory in the foreign exchange rate dynamics: the Tunisian case," Working Papers 2014-198, Department of Research, Ipag Business School.
    6. Vrowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? : an evaluation of growth cycles using wavelet analysis," Research Discussion Papers 18/2006, Bank of Finland.
    7. 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.
    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. 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.
    10. 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.
    11. Ricco, Giovanni, 2015. "A new identification of fiscal shocks based on the information flow," Working Paper Series 1813, European Central Bank.
    12. Callen, Michael & Imbs, Jean & Mauro, Paolo, 2015. "Pooling risk among countries," Journal of International Economics, Elsevier, vol. 96(1), pages 88-99.
    13. Benk, Szilárd & 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.
    14. Levy, Daniel & Dezhbakhsh, Hashem, 2003. "International evidence on output fluctuation and shock persistence," Journal of Monetary Economics, Elsevier, vol. 50(7), pages 1499-1530, October.
    15. Rodrigo Barbone Gonzalez & Joaquim Lima & Leonardo Marinho, 2015. "Business and Financial Cycles: an estimation of cycles’ length focusing on Macroprudential Policy," Working Papers Series 385, Central Bank of Brazil, Research Department.
    16. Leon, Costas & Eeckels, Bruno, 2009. "A Dynamic Correlation Approach of the Swiss Tourism Income," MPRA Paper 15215, University Library of Munich, Germany.

    More about this item

    Keywords

    Spectral Analysis; Spectral Shape; Power Spectrum; Frequency Domain Analysis; Typical Spectral Shape; Output Level; OECD; Developing Countries; Spectral Peak; Common Features;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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