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Twin Peaks: Growth and Convergence in Models of Distribution Dynamics


  • Quah, Danny T


Convergence concerns poor economies catching up with rich ones. At issue is what happens to the cross sectional distribution of economies, not whether a single economy tends towards its own steady state. It is the latter, however, that has preoccupied the traditional approach to convergence analysis. This paper describes a body of research that overcomes this shortcoming in the traditional approach. The new findings--on persistence and stratification, on the formation of convergence clubs, and on the distribution polarizing into twin peaks of rich and poor--suggest the relevance of a class of theoretical ideas different from the production-function accounting traditionally favored. Copyright 1996 by Royal Economic Society.

Suggested Citation

  • Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
  • Handle: RePEc:ecj:econjl:v:106:y:1996:i:437:p:1045-55

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    References listed on IDEAS

    1. Tamura, Robert, 1992. "Efficient equilibrium convergence: Heterogeneity and growth," Journal of Economic Theory, Elsevier, vol. 58(2), pages 355-376, December.
    2. Loury, Glenn C, 1981. "Intergenerational Transfers and the Distribution of Earnings," Econometrica, Econometric Society, vol. 49(4), pages 843-867, June.
    3. Oded Galor & Joseph Zeira, 1993. "Income Distribution and Macroeconomics," Review of Economic Studies, Oxford University Press, vol. 60(1), pages 35-52.
    4. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    5. A. Desdoigts, 1995. "Changes in the World Income Distribution: a Non-Parametric Approach to Challenge the Neo-Classical Convergence Argument," SFB 373 Discussion Papers 1995,15, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries


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