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Determinants of Economic Growth: A Bayesian Panel Data Approach

Enrique Moral-Benito

The Review of Economics and Statistics, 2012, vol. 94, issue 2, 566-579

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.

Keywords: growth determinants; model uncertainty; Bayesian Model Averaging; dynamic panel estimation (search for similar items in EconPapers)
JEL-codes: C11 C23 O4 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (181)

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Working Paper: Determinants of economic growth: A Bayesian panel data approach (2010) Downloads
Working Paper: Determinants of Economic Growth: A Bayesian Panel Data Approach (2007) Downloads
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The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

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