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Real GDP growth rates across countries: long memory and mean shifts

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  • Luis Gil-Alana

Abstract

This article deals with the analysis of the long memory property in the growth rates of the real GDP series across various countries, allowing for a mean break at an unknown period of time. We use a procedure suggested by Hsu and Kuan (1998, 2000) and the results show that the mean break takes place at 1933 for the UK, at 1944 for the US and at 1946 for Germany and Japan. The order of integration seems to be around zero for Germany and Japan; it is slightly positive for the UK, and negative for the US. Thus, we only obtain some evidence of mean reversion in the real GDP series for the case of the US.

Suggested Citation

  • Luis Gil-Alana, 2008. "Real GDP growth rates across countries: long memory and mean shifts," Applied Economics Letters, Taylor & Francis Journals, vol. 15(6), pages 449-455.
    • Handle: RePEc:taf:apeclt:v:15:y:2008:i:6:p:449-455
    DOI: 10.1080/13504850500401460
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    1. Bos, Charles S. & Franses, Philip Hans & Ooms, Marius, 2002. "Inflation, forecast intervals and long memory regression models," International Journal of Forecasting, Elsevier, vol. 18(2), pages 243-264.
    2. Jussi Tolvi, 2003. "Long memory and outliers in stock market returns," Applied Financial Economics, Taylor & Francis Journals, vol. 13(7), pages 495-502.
    3. Ching-Fan Chung & Mao-Wei Hung, 2000. "A general model for short-term interest rates," Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 111-121.
    4. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
    5. Lobato, Ignacio N & Savin, N E, 1998. "Real and Spurious Long-Memory Properties of Stock-Market Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 261-268, July.
    6. Luis A. Gil-Alana, 2003. "Testing of unit roots and other fractionally integrated hypotheses in the presence of structural breaks," Empirical Economics, Springer, vol. 28(1), pages 101-113, January.
    7. Marcelo Resende & Nilson Teixeira, 2002. "Permanent structural changes in the Brazilian economy and long memory: a stock market perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 373-375.
    8. Luis Gil-Alana, 2002. "Confidence intervals for fractionally integrated hypotheses in the real output across Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 407-409.
    9. Dimitrios Vougas, 2004. "Analysing long memory and volatility of returns in the Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 457-460.
    10. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    11. Clive W.J. Granger & Namwon Hyung, 2013. "Occasional Structural Breaks and Long Memory," Annals of Economics and Finance, Society for AEF, vol. 14(2), pages 739-764, November.
    12. Olan Henry, 2002. "Long memory in stock returns: some international evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 725-729.
    13. Robert F. Engle & Aaron D. Smith, 1999. "Stochastic Permanent Breaks," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 553-574, November.
    14. Diebold, Francis X & Husted, Steven & Rush, Mark, 1991. "Real Exchange Rates under the Gold Standard," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1252-1271, December.
    15. L. Achy, 2003. "Parity reversion persistence in real exchange rates: middle income country case," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 541-553.
    16. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    17. Diebold, Francis X. & Rudebusch, Glenn D., 1989. "Long memory and persistence in aggregate output," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 189-209, September.
    18. Sowell, Fallaw, 1992. "Modeling long-run behavior with the fractional ARIMA model," Journal of Monetary Economics, Elsevier, vol. 29(2), pages 277-302, April.
    19. Chih-Chiang Hsu, 2000. "Long Memory or Structural Change: Testing Method and Empirical Examination," Econometric Society World Congress 2000 Contributed Papers 0867, Econometric Society.
    20. Lobato, Ignacio N & Savin, N E, 1998. "Real and Spurious Long-Memory Properties of Stock-Market Data: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 280-283, July.
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