TFP Growth and its Determinants: Nonparametrics and Model Averaging∗

نویسندگان

  • Michael Danquah
  • Enrique Moral-Benito
  • Bazoumana Ouattara
چکیده

Total Factor Productivity (TFP) accounts for a sizable proportion of the income differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure empirically; on the other hand, model uncertainty hampers consensus on its key determinants. This paper combines a non-parametric measure of TFP growth with Bayesian model averaging techniques in order to address both issues. Our empirical findings suggest that the most robust TFP growth determinants are time-invariant unobserved heterogeneity and trade openness. We also investigate the main determinants of two TFP components: efficiency change (i.e. catching up) and technological progress. JEL Codes: O47, C11, C14, C23.

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تاریخ انتشار 2012