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On the Typical Spectral Shape of an Economic Variable

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  • Daniel Levy

    ()
    (Department of Economics, Bar Ilan University)

  • Hashem Dezhbakhsh

    (Emory University)

Abstract

In a classic article, Granger (1966) asserted that most economic time series measured in level have spectra that exhibit a smooth declining shape with considerable power at very low frequencies. There has been no systematic attempt to examine Granger,s assertion 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.

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File URL: http://www.biu.ac.il/soc/ec/wp/16-02/16-02.pdf
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Bibliographic Info

Paper provided by Department of Economics, Bar-Ilan University in its series Working Papers with number 2002-16.

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Date of creation: Dec 2002
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Handle: RePEc:biu:wpaper:2002-16

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Postal: Faculty of Social Sciences, Bar Ilan University 52900 Ramat-Gan
Phone: Phone: +972-3-5318345
Fax: +972-3-7384034
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Web page: http://econ.biu.ac.il
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Related research

Keywords: Spectral Analysis; Spectral Shape; Output Level; OECD; Developing Countries.;

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References

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  1. Zarnowitz, Victor, 1992. "Business Cycles," National Bureau of Economic Research Books, University of Chicago Press, number 9780226978901, September.
  2. Daniel Levy, 2000. "Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(1), pages 100-137, January.
  3. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
  4. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
  5. Lucas, Robert E, Jr, 1980. "Two Illustrations of the Quantity Theory of Money," American Economic Review, American Economic Association, vol. 70(5), pages 1005-14, December.
  6. Daniel Levy, 2005. "Output, Capital, and Labor in the Short, and Long-Run," Development and Comp Systems 0505012, EconWPA.
  7. Campbell, John Y. & Mankiw, N. Gregory, 1989. "International evidence on the persistence of economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 319-333, March.
  8. 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.
  9. Robert G. King & Mark W. Watson, 1995. "Money, prices, interest rates and the business cycle," Working Paper Series, Macroeconomic Issues 95-10, Federal Reserve Bank of Chicago.
  10. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
  11. Daniel Levy & Hashem Dezhbakhsh, 2002. "International Evidence on Output Fluctuation and Shock Persistence," Working Papers 2002-17, Department of Economics, Bar-Ilan University.
  12. Carpenter, Robert E & Levy, Daniel, 1998. "Seasonal Cycles, Business Cycles, and the Comovement of Inventory Investment and Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(3), pages 331-46, August.
  13. Levy, Daniel & Chen, Haiwei, 1994. "Estimates of the Aggregate Quarterly Capital Stock for the Post-war U.S. Economy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 40(3), pages 317-49, September.
  14. Lawrence H. Summers, 1984. "The Nonadjustment of Nominal Interest Rates: A Study of the Fisher Effect," NBER Working Papers 0836, National Bureau of Economic Research, Inc.
  15. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
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Citations

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Cited by:
  1. 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.
  2. 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.
  3. Carlos Medel, 2014. "The Typical Spectral Shape of An Economic Variable: A Visual Guide with 100 Examples," Working Papers Central Bank of Chile 719, Central Bank of Chile.
  4. Crowley , Patrick & 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.
  5. Crowley , Patrick & Maraun , Douglas & Mayes , David, 2006. "How hard is the euro are core? An evaluation of growth cycles using wavelet analysis," Research Discussion Papers 18/2006, Bank of Finland.
  6. Leon, Costas & Eeckels, Bruno, 2009. "A Dynamic Correlation Approach of the Swiss Tourism Income," MPRA Paper 15215, University Library of Munich, Germany.
  7. Jean Imbs & Paolo Mauro, 2007. "Pooling Risk Among Countries," IMF Working Papers 07/132, International Monetary Fund.
  8. Daniel Levy & Hashem Dezhbakhsh, 2002. "International Evidence on Output Fluctuation and Shock Persistence," Working Papers 2002-17, Department of Economics, Bar-Ilan University.
  9. Benk, Szilárd & Gillman, Max & Kejak, Michal, 2009. "US Volatility Cycles of Output and Inflation, 1919-2004: A Money and Banking Approach to a Puzzle," CEPR Discussion Papers 7150, C.E.P.R. Discussion Papers.

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