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Unit Roots Postwar Slowdowns and Long-Run Growth: Evidence from Two Structural Breaks

Author

Listed:
  • Ben-David, D.
  • Lumsdaine, L.R.
  • Papell, D.H.

Abstract

This paper provides evidence on the unit root hypothesis and long-term growth by allowing for two structural breaks. We reject unit root hypothesis for three-quarters of the countries - approximately 50% more rejections than in models that allow for only one break.

Suggested Citation

  • Ben-David, D. & Lumsdaine, L.R. & Papell, D.H., 1996. "Unit Roots Postwar Slowdowns and Long-Run Growth: Evidence from Two Structural Breaks," Papers 33-96, Tel Aviv.
  • Handle: RePEc:fth:teavfo:33-96
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    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
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    5. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    6. Dan Ben-David & David H. Papell, 1998. "Slowdowns And Meltdowns: Postwar Growth Evidence From 74 Countries," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 561-571, November.
    7. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
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    More about this item

    Keywords

    UNIT ROOTS; ECONOMIC GROWTH;

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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