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Convergence, endogenous growth, and productivity disturbances

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  • Ka Yui Leung, Charles
  • Quah, Danny T.

Abstract

Kelly (1992) has recently shown that evidence on convergence cannot be taken as evidence against endogenous growth in general. This study uses a well-known class of stochastic growth models to show other difficulties with traditional empirical studies of convergence. Key parameters typically cannot be estimated consistently in cross-section regressions. When the parameters are assumed known, implications for convergence are unavailable except under restrictive and economically unmotivated assumptions. Those same assumptions that relate key parameters to cross-country convergence render cross-section regressions impossible to estimate consistently.
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(This abstract was borrowed from another version of this item.)

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  • Ka Yui Leung, Charles & Quah, Danny T., 1996. "Convergence, endogenous growth, and productivity disturbances," Journal of Monetary Economics, Elsevier, vol. 38(3), pages 535-547, December.
  • Handle: RePEc:eee:moneco:v:38:y:1996:i:3:p:535-547
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    4. Rosa Capolupo, 2005. "THE NEW GROWTH THEORIES AND THEIR EMPIRICS, Discussion Paper in Economics, University of Glasgow, N. 2005-04 (http://www.gla.ac.uk/Acad/Economics," GE, Growth, Math methods 0506003, University Library of Munich, Germany.
    5. Quah, Danny T, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
    6. Rosa Capolupo, "undated". "The New Growth Theoris and their Empirics," Working Papers 2005_4, Business School - Economics, University of Glasgow.
    7. Charles Leung & Sam Tang & Nicolaas Groenewold, 2006. "Growth Volatility and Technical Progress: A Simple Rent-seeking Model," Journal of Economics, Springer, vol. 88(2), pages 159-178, August.
    8. Warwick McKibbin & David Pearce & Alison Stegman, 2004. "Long Run Projections For Climate Change Scenarios," CAMA Working Papers 2004-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
    10. Ingianni, Andrea, 2012. "Intra-European Union trade openness and new members’ output convergence: A time-series analysis," Economics Discussion Papers 2012-5, School of Economics, Kingston University London.
    11. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308, Elsevier.
    12. Richard E. Baldwin & Philippe Martin, 1999. "Two Waves of Globalisation: Superficial Similarities, Fundamental Differences," NBER Working Papers 6904, National Bureau of Economic Research, Inc.
    13. Paul Lau, Sau-Him, 1999. "I(0) In, integration and cointegration out:: Time series properties of endogenous growth models," Journal of Econometrics, Elsevier, vol. 93(1), pages 1-24, November.
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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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