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EPO vs. USPTO Citation Lags

Author

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  • Fabio Montobbio

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

  • E. Bacchiocchi

    (University of Milan,)

Abstract

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.

Suggested Citation

  • Fabio Montobbio & E. Bacchiocchi, 2004. "EPO vs. USPTO Citation Lags," KITeS Working Papers 161, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Sep 2004.
    • Handle: RePEc:cri:cespri:wp161
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    References listed on IDEAS

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    1. 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.
    2. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    3. Hall, Bronwyn H. & Jaffee, Adam & Trajtenberg, Manuel, 2000. "Market Value and Patent Citations: A First Look," Department of Economics, Working Paper Series qt1rh8k6z2, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. 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, December.
    5. Fung, Michael K. & Chow, William W., 2002. "Measuring the intensity of knowledge flow with patent statistics," Economics Letters, Elsevier, vol. 74(3), pages 353-358, February.
    6. Fung, Michael K., 2003. "Technological proximity and co-movements of stock returns," Economics Letters, Elsevier, vol. 79(1), pages 131-136, April.
    7. 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.
    8. 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.
    9. 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.
    10. 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, April.
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    Citations

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    Cited by:

    1. Bronwyn H. Hall & Grid Thoma & Salvatore Torrisi, 2006. "The market value of patents and R&D: Evidence from European firms," KITeS Working Papers 186, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2006.
    2. Dirk Czarnitzki & Katrin Hussinger & Cédric Schneider, 2011. "Commercializing academic research: the quality of faculty patenting," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(5), pages 1403-1437, October.
    3. E. Bacchiocchi & F. Montobbio, 2009. "Knowledge diffusion from university and public research. A comparison between US, Japan and Europe using patent citations," The Journal of Technology Transfer, Springer, vol. 34(2), pages 169-181, April.
    4. Gamal Atallah & Gabriel Rodríguez, 2006. "Indirect patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 437-465, June.
    5. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    6. Aditi Mehta & Marc Rysman & Tim Simcoe, 2006. "Identifying the Age Profile of Patent Citations," Boston University - Department of Economics - Working Papers Series WP2006-022, Boston University - Department of Economics.

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    More about this item

    Keywords

    Patent citations; Knowledge flows; Spillovers; Diffusion; Patent Examiners.;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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