Due to model uncertainty, there is no consensus about which are the most salient determinants of economic growth. To address model uncertainty, Bayesian Model Averaging approaches have recently been used in cross-country cross-sectional analyses. This paper extends these approaches to panel data models with country specific fixed effects. We find that when using this approach the strongest evidence of robustness is for the trade openness, the size of the labor force, the government consumption level and the Latin America dummy. Moreover, our results are robust to different prior assumptions on the expected model size.
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Paper provided by CEMFI in its series Working Papers with number
wp2007_0719.
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005.
"Growth Econometrics,"
Handbook of Economic Growth,
in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677
Elsevier.
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