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Determinants of Economic Growth: A Bayesian Panel Data Approach

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  • Enrique Moral-Benito

    (CEMFI)

Abstract

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian model averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with country-specific fixed effects in order to simultaneously address model uncertainty and endogeneity issues. The empirical findings suggest that in a panel setting, the most robust growth determinants are the price of investment goods, distance to major world cities, and political rights. © 2012 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

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Bibliographic Info

Article provided by MIT Press in its journal Review of Economics and Statistics.

Volume (Year): 94 (2012)
Issue (Month): 2 (May)
Pages: 566-579

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Handle: RePEc:tpr:restat:v:94:y:2012:i:2:p:566-579

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Keywords: growth determinants; model uncertainty; Bayesian Model Averaging; dynamic panel estimation;

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  1. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 99(3), pages 483-99, June.
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  14. Ley, Eduardo & Steel, Mark F.J., 2008. "On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regression," MPRA Paper 6773, University Library of Munich, Germany, revised 06 Jan 2008.
  15. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
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