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The long wave of conditional convergence

  • Tong, Jian

We calculate the time series of the speed of convergence for 21 high-income countries over the period: 1953-1996, using low-pass filtered time series of per-capita GDP which are thus isolated from the influence of the short-run business cycle components. The observed patterns contradict the conventional ‘time-invariant speed of convergence’ hypothesis. Furthermore, dynamic panel data analysis provides strong evidence of the existence of stationary long cycles in the per capita GDP time series. We develop and estimate a technology-diffusion-based endogenous growth model, which shows that the endogenous growth of the domestic knowledge stock can account for the long cycles observed in the data. Keywords; trend reversion, speed of convergence, growth cycles

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File URL: http://eprints.soton.ac.uk/42792/1/0614.pdf
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Paper provided by Economics Division, School of Social Sciences, University of Southampton in its series Discussion Paper Series In Economics And Econometrics with number 0614.

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Date of creation: 03 Oct 2006
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Handle: RePEc:stn:sotoec:0614
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  1. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  2. Barro, Robert J & Sala-i-Martin, Xavier, 1997. " Technological Diffusion, Convergence, and Growth," Journal of Economic Growth, Springer, vol. 2(1), pages 1-26, March.
  3. Barro, R.J. & Mankiw, N.G. & Sala-i-Martin, X., 1992. "Capital Mobility in Neoclassical Models of Growth," Papers 655, Yale - Economic Growth Center.
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  5. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. " Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-89, September.
  6. Peter C.B. Phillips & Donggyu Sul, 2003. "The Elusive Empirical Shadow of Growth Convergence," Cowles Foundation Discussion Papers 1398, Cowles Foundation for Research in Economics, Yale University.
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  8. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
  9. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
  10. Dixit, Avinash K & Stiglitz, Joseph E, 1975. "Monopolistic Competition and Optimum Product Diversity," The Warwick Economics Research Paper Series (TWERPS) 64, University of Warwick, Department of Economics.
  11. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
  12. Tjalling C. Koopmans, 1963. "On the Concept of Optimal Economic Growth," Cowles Foundation Discussion Papers 163, Cowles Foundation for Research in Economics, Yale University.
  13. Parente, Stephen L & Prescott, Edward C, 1994. "Barriers to Technology Adoption and Development," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 298-321, April.
  14. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
  15. Peter Howitt, 2000. "Endogenous Growth and Cross-Country Income Differences," American Economic Review, American Economic Association, vol. 90(4), pages 829-846, September.
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