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International Evidence on Output Fluctuation and Shock Persistence

  • Daniel Levy

    (Bar-Ilan & Emory)

  • Hashem Dezhbakhsh

    (Emory)

We estimate output growth rate spectra for 58 countries. The spectra exhibit diverse shapes. To study the sources of this diversity, we estimate the short-run, business cycle, and long-run frequency components of the sampled series. For most OECD countries the bulk of the spectral mass is in the business cycle frequency band, and the magnitude of this cyclical component increases with income. For the developing countries, however, the spectral mass is not concentrated in the business cycle frequency band, and the income-cycle relationship is not as strong. We also estimate two frequency domain measures of shock persistence and find both measures to vary considerably across countries, with the U.S. having the lowest estimates. For the OECD countries most of the variation in the variance ratio statistic appears to be explained by the variation in the long-term growth component.

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File URL: http://econwpa.repec.org/eps/mac/papers/0402/0402016.pdf
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Paper provided by EconWPA in its series Macroeconomics with number 0402016.

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Length: 49 pages
Date of creation: 07 Feb 2004
Date of revision:
Handle: RePEc:wpa:wuwpma:0402016
Note: Type of Document - pdf; prepared on Win 98; to print on Any printer; pages: 49 ; figures: Figures are included
Contact details of provider: Web page: http://econwpa.repec.org

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  1. Kormendi, Roger C & Meguire, Philip, 1990. "A Multicountry Characterization of the Nonstationarity of Aggregate Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 22(1), pages 77-93, February.
  2. Romer, Christina D., 1994. "Remeasuring Business Cycles," The Journal of Economic History, Cambridge University Press, vol. 54(03), pages 573-609, September.
  3. 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.
  4. Kraay, Aart & Ventura, Jaume, 2001. "Comparative Advantage and the Cross-Section of Business Cycles," CEPR Discussion Papers 3000, C.E.P.R. Discussion Papers.
  5. Daniel Levy, 2005. "Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series," International Finance 0505006, EconWPA, revised 16 May 2005.
  6. 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.
  7. Zarnowitz, Victor, 1992. "Business Cycles," National Bureau of Economic Research Books, University of Chicago Press, number 9780226978901.
  8. Meltzer, Allan H., 1990. "Unit roots, investment measures and other essays," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 1-6, January.
  9. John Y. Campbell & N. Gregory Mankiw, 1988. "International Evidence on the Persistence of Economic Fluctuations," NBER Working Papers 2498, National Bureau of Economic Research, Inc.
  10. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
  11. 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.
  12. 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.
  13. Alan C. Stockman, 1987. "Sectoral and National Aggregate Disturbances to Industrial Output in Seven European Countries," NBER Working Papers 2313, National Bureau of Economic Research, Inc.
  14. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  15. 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.
  16. 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.
  17. Cogley, Timothy, 1990. "International Evidence on the Size of the Random Walk in Output," Journal of Political Economy, University of Chicago Press, vol. 98(3), pages 501-18, June.
  18. 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.
  19. Daniel Levy & Haiwei Chen, 2005. "Estimates of the Aggregate Quarterly Capital Stock for the Post- War U.S. Economy," Others 0505008, EconWPA, revised 16 May 2005.
  20. John Hassler & Petter Lundvik & Torsten Persson & Paul Soderlind, 1992. "The Swedish business cycle: stylized facts over 130 years," Discussion Paper / Institute for Empirical Macroeconomics 63, Federal Reserve Bank of Minneapolis.
  21. 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.
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