How important is innovation? A Bayesian factor-augmented productivity model on panel data
This paper proposes a Bayesian approach to estimate a factor augmented productivity equation. We exploit the panel dimension of our data and distinguish individual-specic and time-specic 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.
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- Bresson G. & Hsiao C., 2008.
"A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris,"
Working Papers ERMES
0810, ERMES, University Paris 2.
- 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, vol. 95(4), pages 501-529, December.
- Emanuel Moench & Serena Ng & Simon Potter, 2013.
"Dynamic Hierarchical Factor Model,"
The Review of Economics and Statistics,
MIT Press, vol. 95(5), pages 1811-1817, December.
- Fagerberg, Jan & Srholec, Martin, 2008.
"National innovation systems, capabilities and economic development,"
Elsevier, vol. 37(9), pages 1417-1435, October.
- Jan Fagerberg & Martin Srholec, 2007. "National innovation systems, capabilities and economic development," Working Papers on Innovation Studies 20071024, Centre for Technology, Innovation and Culture, University of Oslo.
- Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011.
"Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity,"
AStA Advances in Statistical Analysis,
Springer, vol. 95(4), pages 435-452, December.
- 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.
- Jan Fagerberg & Martin Srholec & Bart Verspagen, 2010. "The Role of Innovation in Development," Review of Economics and Institutions, Università di Perugia, vol. 1(2).
- Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-47, February.
- 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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