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Why has Growth slowed in Sub-Saharan Africa: A System GMM-IV Approach

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Listed author(s):
  • MAHMUD, HASSAN

Abstract

In this paper we estimated the traditional cross-country growth model and corrected for model endogeneity bias and country-specific hetereogeneity effects. Using the System-IV Generalized Method of Moments (GMM) approach, we identified the key factors that determine GDP per capita growth rate in a panel regression model of 100 countries. Parameter robustness tests was applied to the models which also included: Within Fixed E®ects; Pooled-Ordinary Least Square and Levels-IV GMM models, using the Extreme Bounds Analysis (EBA). We found that most of the estimated covariates that show significant coefficients in the regression model are actually fragile, except for initial income, institutions and real exchange rate over valuation. More importantly too, the results suggested that natural resource endowment, such as oil, may not have accounted for why some resource rich developing countries (e.g Nigeria) have grown slowly as is commonly argued in the literature.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 25910.

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Date of creation: 11 Dec 2008
Handle: RePEc:pra:mprapa:25910
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Keywords: Fixed Effects Models; Economic Growth; Endogeneity; Method of Moments;

Find related papers by JEL classification:

  • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
  • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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Cited by:

  1. Eleftherios Goulas & Athina Zervoyianni, 2013. "Growth, Deficits and Uncertainty: Theoretical Aspects and Empirical Evidence," Working Paper Series 53_13, The Rimini Centre for Economic Analysis.
  2. Goulas, Eleftherios & Zervoyianni, Athina, 2013. "Growth, deficits and uncertainty: Theoretical aspects and empirical evidence from a panel of 27 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 380-392.

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