Innovation Sources and Productivity: A Quantile Regression Analysis
This paper explores the effects of two main sources of innovation —intramural and external R&D— on the productivity level in a sample of 3,267 Catalan firms. The data set used is based on the official innovation survey of Catalonia which was a part of the Spanish sample of CIS4, covering the years 2002-2004. We compare empirical results by applying usual OLS and quantile regression techniques both in manufacturing and services industries. In quantile regression, results suggest different patterns at both innovation sources as we move across conditional quantiles. The elasticity of intramural R&D activities on productivity decreased when we move up the high productivity levels both in manufacturing and services sectors, while the effects of external R&D rise in high-technology industries but are more ambiguous in low-technology and services industries.
|Date of creation:||Oct 2007|
|Date of revision:||Oct 2007|
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- Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998.
"Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level,"
NBER Working Papers
6696, National Bureau of Economic Research, Inc.
- Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
- Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation and Productivity : An Econometric Analysis at the Firm Level," Working Papers 98-33, Centre de Recherche en Economie et Statistique.
- Gorg, Holger & Strobl, Eric & Ruane, Frances, 2000. " Determinants of Firm Start-Up Size: An Application of Quantile Regression for Ireland," Small Business Economics, Springer, vol. 14(3), pages 211-22, May.
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