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How important is innovation? A Bayesian factor-augmented productivity model on panel data

Listed author(s):
  • Georges Bresson
  • Jean-Michel Etienne
  • Pierre Mohnen

This paper proposes a Bayesian approach to estimate a factor augmented productivity equation. We exploit the panel dimension of our data and distinguish individual-speci c and time-speci c factors. On the basis of 14 technology and infrastructure indicators from 37 countries over a 10-year period (1998 to 2007), we construct summary indicators of these two components and estimate their e ect on the growth and the international diff erences in GDP per capita.

(This abstract was borrowed from another version of this item.)

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File URL: http://www.tepp-repec.eu/RePEc/files/teppwp/TEPP-wp-11-06-jb-jme-pm.pdf
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Paper provided by TEPP in its series TEPP Working Paper with number 2011-06.

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Date of creation: 2011
Handle: RePEc:tep:teppwp:wp11-06
Contact details of provider: Postal:
Université Paris-Est Marne La Vallée, 5 bd Descartes, 77454 Champs sur Marne

Web page: http://www.tepp.eu/

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  2. Castellacci, Fulvio & Natera, Jose Miguel, 2011. "A new panel dataset for cross-country analyses of national systems, growth and development (CANA)," MPRA Paper 28376, University Library of Munich, Germany.
  3. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo Group Munich.
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  15. repec:ucm:wpaper:05-11 is not listed on IDEAS
  16. Hecq, Alain & Palm, Franz C. & Urbain, Jean-Pierre, 2006. "Common cyclical features analysis in VAR models with cointegration," Journal of Econometrics, Elsevier, vol. 132(1), pages 117-141, May.
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  18. Sydeny C. Ludvigson & Serena Ng, 2005. "Macro Factors in Bond Risk Premia," NBER Working Papers 11703, National Bureau of Economic Research, Inc.
  19. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
  20. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.
  21. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
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