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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.

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Paper provided by Financial Markets Group in its series FMG Discussion Papers with number dp154.

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Date of creation: Nov 1992
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Handle: RePEc:fmg:fmgdps:dp154

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Web page: http://www.lse.ac.uk/fmg/

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  1. 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.
  2. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-51, April.
  3. Geweke, John & Marshall, Robert C & Zarkin, Gary A, 1986. "Mobility Indices in Continuous Time Markov Chains," Econometrica, Econometric Society, vol. 54(6), pages 1407-23, November.
  4. Burton Singer & Seymour Spilerman, 1976. "Some Methodological Issues in the Analysis of Longitudinal Surveys," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 447-474 National Bureau of Economic Research, Inc.
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