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Empirical cross-section dynamics in economic growth

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  • Danny Quah

Abstract

Traditional empirical strategies for studying convergence - more generally, the dynamics and determinants of economic growth, can be misleading if important, underlying permanent or growth components are stochastically time-varying. This paper documents the degree to which this instability characterises the data, and then offers an alternative empirical framework. This alternative, directly modelling the dynamics of the evolving cross-section distributions, applied to cross-country income data yields some interesting insights: economies across the world seem to be converging to a distribution where many remain wealthy, and many remain poor. Those economies able to make the transition from low to high income levels are primarily small and sparsely populated; middle-income ones, by contrast, are a vanishing class.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Danny Quah, 1992. "Empirical cross-section dynamics in economic growth," Discussion Paper / Institute for Empirical Macroeconomics 75, Federal Reserve Bank of Minneapolis.
  • Handle: RePEc:fip:fedmem:75
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    References listed on IDEAS

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    1. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-251, April.
      • Barro, R.J. & Sala-I-Martin, X., 1991. "Convergence," Papers 645, Yale - Economic Growth Center.
      • Barro, Robert J. & Sala-i-Martin, Xavier, 1992. "Convergence," Scholarly Articles 3451299, Harvard University Department of Economics.
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    4. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
    5. Geweke, John & Marshall, Robert C & Zarkin, Gary A, 1986. "Mobility Indices in Continuous Time Markov Chains," Econometrica, Econometric Society, vol. 54(6), pages 1407-1423, November.
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    More about this item

    Keywords

    Economic development;

    JEL classification:

    • 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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