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The poor stay poor: Non-convergence across countries and regions

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  • Fabio Canova
  • Albert Marcet

Abstract

We study the issue of income convergence across countries and regions with a Bayesian estimator which allows us to use information in an efficient and flexible way. We argue that the very slow convergence rates to a common level of per-capita income found, e.g., by Barro and Xavier Sala-i-Martin, is due to a 'fixed effect bias' that their cross-sectional analysis introduces in the results. Our approach permits the estimation of different convergence rates to different steady states for each cross sectional unit. When this diversity is allowed, we find that convergence of each unit to (its own) steady state income level is much faster than previously estimated but that cross sectional differences persist: inequalities will only be reduced by a small amount by the passage of time. The cross country distribution of the steady state is largely explained by the cross country distribution of initial conditions.

Suggested Citation

  • Fabio Canova & Albert Marcet, 1995. "The poor stay poor: Non-convergence across countries and regions," Economics Working Papers 137, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 1999.
  • Handle: RePEc:upf:upfgen:137
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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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