Template-type: ReDIF-Paper 1.0
Author-Name: Bresson, G.
Author-Email: bresson-georges@orange.fr
Author-Workplace-Name: Université Paris II, Sorbonne Universités
Author-Name: Etienne, J-M.
Author-Email: jean-michel.etienne@u-psud.fr
Author-Workplace-Name: Université Paris-Sud 11
Author-Name: Mohnen, P.
Author-Email: mohnen@merit.unu.edu
Author-Workplace-Name: UNU-MERIT
Title: How important is innovation? : A Bayesian factor-augmented productivity 
	 model on panel data
Abstract: This paper proposes a Bayesian approach to estimate a factor augmented 
	 productivity equation. We exploit the panel dimension of our data and 
	 distinguish individual-specific and time-specific factors. On the basis 
	 of 21 technology, infrastructure and institution indicators from 82 
	 countries over a 19-year period 1990 to 2008, we construct summary 
	 indicators of these three components and estimate their effect on the 
	 growth and the international differences in GDP per capita.
Classification-JEL: C23, C38, O47
Keywords: Productivity, Technology, Innovation, Economic growth, GDP per capita, 
	 Panel data, Bayesian models
Series: UNU-MERIT Working Papers
Creation-Date: 20140631
Number: 2014-052
File-URL: https://unu-merit.nl/publications/wppdf/2014/wp2014-052.pdf
File-Format: application/pdf
File-Size: 2175 Kb
Handle: RePEc:unm:unumer:2014052