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Growth Empirics in Panel Data Under Model Uncertainty and Weak Exogeneity

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  • Enrique Moral‐Benito

Abstract

This paper considers panel growth regressions in the presence of model uncertainty and reverse causality concerns. For this purpose, my econometric framework combines Bayesian Model Averaging with a suitable likelihood function for dynamic panel models with weakly exogenous regressors and fixed effects. An application of this econometric methodology to a panel of countries over the 1960-2000 period indicates that there is no robust determinant of economic growth and that the rate of conditional convergence is indistinguishable from zero.
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  • Enrique Moral‐Benito, 2016. "Growth Empirics in Panel Data Under Model Uncertainty and Weak Exogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 584-602, April.
    • Handle: RePEc:wly:japmet:v:31:y:2016:i:3:p:584-602
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    More about this item

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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