Journal
JOURNAL OF ECONOMETRICS
Volume 136, Issue 2, Pages 483-508Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jeconom.2005.11.012
Keywords
growth; convergence; distribution dynamics; entropy; stochastic dominance; nonparametric; international cross-section
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In this paper we focus primarily on the dynamic evolution of the world distribution of growth rates in per capita GDP. We propose new concepts and measures of convergence, or divergence that are based on entropy distances and dominance relations between groups of countries over time. We update the sample period to include the most recent decade of data available, and we offer traditional parametric and new nomparametric estimates of the most widely used growth regressions for two important subgroups of countries, OECD and non-OECD. Traditional parametric models are rejected by the data, however, using robust nonparametric methods we find strong evidence in favor of polarization and within group mobility. (c) 2006 Elsevier B.V. All rights reserved.
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