IDEAS home Printed from https://ideas.repec.org/p/pie/dsedps/2003-14.html
   My bibliography  Save this paper

Nonlinear Economic Growth: Some Theory and Cross-Country Evidence

Author

Listed:
  • Davide Fiaschi
  • Andrea Mario Lavezzi

Abstract

The paper aims to test the existence of different regimes in the growth process. We propose a simple nonlinear growth model which features different relationships between growth rate and income level. We iden tify its testable implications in terms of state space dynamics. By estimating Markov transition matrices we show that growth is indeed a nonlinear process. Economic growth proceeds by alternating phases of acceleration and deceleration. We discuss the relevance of these results with respect to the issue of income convergence across countries and models of technological diffusion.

Suggested Citation

  • Davide Fiaschi & Andrea Mario Lavezzi, 2003. "Nonlinear Economic Growth: Some Theory and Cross-Country Evidence," Discussion Papers 2003/14, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
  • Handle: RePEc:pie:dsedps:2003/14
    as

    Download full text from publisher

    File URL: http://www.ec.unipi.it/documents/Ricerca/papers/2003-14.pdf
    Download Restriction: no

    Other versions of this item:

    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. Susanto Basu & David N. Weil, 1998. "Appropriate Technology and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1025-1054.
    3. Howitt, Peter & Mayer-Foulkes, David, 2005. "R&D, Implementation, and Stagnation: A Schumpeterian Theory of Convergence Clubs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(1), pages 147-177, February.
    4. Peretto, Pietro F., 1999. "Industrial development, technological change, and long-run growth," Journal of Development Economics, Elsevier, vol. 59(2), pages 389-417, August.
    5. Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005. "Growth Econometrics," Handbook of Economic Growth,in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677 Elsevier.
    6. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
    7. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
    8. Robert E. Lucas, 2000. "Some Macroeconomics for the 21st Century," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 159-168, Winter.
    9. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    10. Murphy, Kevin M & Shleifer, Andrei & Vishny, Robert W, 1989. "Industrialization and the Big Push," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1003-1026, October.
    11. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
    12. Charles I. Jones, 1997. "On the Evolution of the World Income Distribution," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 19-36, Summer.
    13. Kalaitzidakis, Pantelis & Mamuneas, Theofanis P. & Savvides, Andreas & Stengos, Thanasis, 2001. "Measures of Human Capital and Nonlinearities in Economic Growth," Journal of Economic Growth, Springer, vol. 6(3), pages 229-254, September.
    14. Fiaschi, Davide & Lavezzi, Andrea Mario, 2003. "Distribution Dynamics and Nonlinear Growth," Journal of Economic Growth, Springer, vol. 8(4), pages 379-401, December.
    15. David N. Weil & Oded Galor, 2000. "Population, Technology, and Growth: From Malthusian Stagnation to the Demographic Transition and Beyond," American Economic Review, American Economic Association, vol. 90(4), pages 806-828, September.
    16. Johnson, Paul A., 2005. "A continuous state space approach to "Convergence by Parts"," Economics Letters, Elsevier, vol. 86(3), pages 317-321, March.
    17. Zilibotti, Fabrizio, 1995. "A Rostovian model of endogenous growth and underdevelopment traps," European Economic Review, Elsevier, vol. 39(8), pages 1569-1602, October.
    18. Kremer, Michael & Onatski, Alexei & Stock, James, 2001. "Searching for prosperity," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 275-303, December.
    19. 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.
    20. Mas-Colell, Andreu & Razin, Assaf, 1973. "A Model of Intersectoral Migration and Growth," Oxford Economic Papers, Oxford University Press, vol. 25(1), pages 72-79, March.
    21. Liu, Zhenjuan & Stengos, Thanasis, 1999. "Non-linearities in Cross-Country Growth Regressions: A Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 527-538, Sept.-Oct.
    22. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    onlinear growth; distribution dynamics; convergence; structural change; technological diffusion;

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pie:dsedps:2003/14. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/dspisit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.