The Poor Stay Poor: Non-Convergence Across Countries and Regions
AbstractWe study the issue of income convergence across countries and regions with a Bayesian model 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, for example, by Barro and 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-sectional distribution of initial conditions.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 1265.
Date of creation: Nov 1995
Date of revision:
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Other versions of this item:
- 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.
- 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; Longitudinal Data; Spatial Time Series
- D90 - Microeconomics - - Intertemporal Choice and Growth - - - General
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
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