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Growth Empirics Under Model Uncertainty; Is Africa Different?

  • Charalambos G Tsangarides

This paper attempts to identify robust patterns of cross-country growth behavior in the world as a whole and Africa. It employs a novel methodology that incorporates a dynamic panel estimator, and Bayesian Model Averaging to explicitly account for model uncertainty. The findings indicate that: (i) in addition to initial conditions, various economic factors such as higher investment, lower inflation, lower government consumption, better fiscal stance, improved political environment, exogenous terms-of-trade shocks, and fixed geographical factors are robustly correlated with growth; (ii) what is good for growth around the world is, in principle, also good for growth in Africa; and (iii) political and institutional variables are particularly important in explaining African growth.

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Paper provided by International Monetary Fund in its series IMF Working Papers with number 05/18.

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Length: 33
Date of creation: 01 Jan 2005
Date of revision:
Handle: RePEc:imf:imfwpa:05/18
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