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The Great Wars, The Great Crash, and the Unit Root Hypothesis: Some New Evidence About an Old Stylized Fact

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  • Dan Ben-David
  • David H. Papell

Abstract

For decades, the prevailing sentiment among economists was that growth rates remain constant over the long run. Kaldor considered this to be one of the six important 'stylized facts' that theory should address, and until the emergence of endogenous growth models, this was a fundamental feature of growth theory. This paper uses an endogenous trend break model to investigate the unit root hypothesis for 16 countries, using annual GDP data spanning up to 130 years. Rejection of the unit root, which is facilitated by the inclusion of a trend break, introduces the possibility of examining the long run behavior of growth rates. We find that most countries exhibited fairly steady growth for a period lasting several decades. The termination of this period was usually characterized by a significant, and sudden, drop in GDP levels. But rather than simply returning to their previous steady state path, as predicted by the standard neoclassical growth model, most countries continued to grow at roughly double their prebreak rates for many decades, even after their original growth path had been surpassed.

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  • Dan Ben-David & David H. Papell, 1994. "The Great Wars, The Great Crash, and the Unit Root Hypothesis: Some New Evidence About an Old Stylized Fact," NBER Working Papers 4752, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:4752
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    Cited by:

    1. Julio Herrera Revuelta & Jesus Santamaria Fidalgo, 1998. "Testing differences in long run growth among Spanish regions: Can growth models explain it?," ERSA conference papers ersa98p11, European Regional Science Association.
    2. Luis A. Gil-Alanaa, 2005. "Unit and fractional roots in the presence of abrupt changes with an application to the brazilian inflation rate," Empirical Economics, Springer, vol. 30(1), pages 193-207, January.
    3. Bruno, Michael & Easterly, William, 1998. "Inflation crises and long-run growth," Journal of Monetary Economics, Elsevier, vol. 41(1), pages 3-26, February.
    4. Franco Bevilacqua & Adriaan van Zon, 2004. "Random walks and non-linear paths in macroeconomic time series: some evidence and implications," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 3, Edward Elgar Publishing.
    5. Ben-David, Dan & Papell, David H., 1995. "The great wars, the great crash, and steady state growth: Some new evidence about an old stylized fact," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 453-475, December.
    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. Herrera Revuelta, J. & Santamaría Fidalgo, J., 2000. "La distribución del crecimiento económico en España.1955-1993," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 14, pages 73-94, Abril.
    8. Matthias Lutz, 1999. "Unit roots versus segmented trends in developing country output series," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 181-184.
    9. Pritchett, Lant, 1996. "Where has all the education gone?," Policy Research Working Paper Series 1581, The World Bank.
    10. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
    11. Asmaa Ahmed, 2005. "Random Walks in the Economic Dynamic Series," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 78-100.

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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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