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EPO vs. USPTO Citation Lags

  • Fabio Montobbio

    (University of Insubria and CESPRI, Università Bocconi, Milano)

  • E. Bacchiocchi

    (University of Milan,)

This paper estimates the diffusion and obsolescence of technological knowledge by technological field, country and type of institutions that generates it. We use two comparable samples of patents and patent citations from the NBER U.S. Patent Citations Dataset (based on patents from the US Patent Office) and from the EP Cespri Dataset (based on patents from the European Patent Office). Using a quasi-structural model, as proposed by Caballero and Jaffe (1993) and discussed in Hall et al. (2001), We test whether the observed processes of knowledge diffusion and obsolescence reflect the specific institutional mechanism generating them. Results show that at the USPTO there are more citations per patent due to the different rules governing citation practices and that their median lag is twice as large relatively to the citations at the EPO. We also find that the relative properties of the citation frequencies indifferent technological fields change according to the patent office considered.

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Paper provided by KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy in its series KITeS Working Papers with number 161.

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Length: 20 pages
Date of creation: Sep 2004
Date of revision: Sep 2004
Handle: RePEc:cri:cespri:wp161
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  1. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
  2. Bronwyn H. Hall and Adam Jaffe, and Manuel Trajtenberg., 2001. "Market Value and Patent Citations: A First Look," Economics Working Papers E01-304, University of California at Berkeley.
  3. Stefano Breschi & Francesco Lissoni, 2004. "Knowledge networks from patent data: Methodological issues and research targets," KITeS Working Papers 150, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jan 2004.
  4. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, 04.
  5. Malerba Franco & Mancusi Maria Luisa & Montobbio Fabio, 2003. "Innovation and Knowledge Spillovers: Evidence from European Data," Economics and Quantitative Methods qf0319, Department of Economics, University of Insubria.
  6. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
  7. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
  8. Fung, Michael K., 2003. "Technological proximity and co-movements of stock returns," Economics Letters, Elsevier, vol. 79(1), pages 131-136, April.
  9. Adam B. Jaffe & Manuel Trajtenberg, 2005. "Patents, Citations, and Innovations: A Window on the Knowledge Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 026260065x, June.
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