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The Determinants of Patent Applications Outcomes - Does Experience Matter?

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  • Schneider, Cédric

Abstract

The aim of this paper is to study the determinants of the outcomes of patent applications (withdrawal, refusal or grant). The application process at the European Patent Office is modelled in three stages, using a Trivariate Probit model with double selectivity correction in order to test whether the applicants ?patenting history has an effect on the outcome of the current application. I investigate the behavior of the applicant after the patent office has established the "state of the art", a precondition to an invention being patentable. The main results are (i) firms with large patents portfolios act following a "trial and error" strategy, by applying for large numbers of patents and thereafter waiting for the patent office?s final decision when the expected probability of grant is high, (ii) the technological importance of a patent is a crucial determinant of a successful application grant, (iii) a withdrawal is to be regarded as an expected refusal, since applicants tend to withdraw their applications when there is evidence that the inventions cannot be considered to be novel or to involve an inventive step.

Suggested Citation

  • Schneider, Cédric, 2007. "The Determinants of Patent Applications Outcomes - Does Experience Matter?," MPRA Paper 3359, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:3359
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    Cited by:

    1. Nicolas van Zeebroeck & Bruno van Pottelsberghe de la Potterie, 2011. "Filing strategies and patent value," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(6), pages 539-561, February.
    2. Schettino, Francesco & Sterlacchini, Alessandro & Venturini, Francesco, 2013. "Inventive productivity and patent quality: Evidence from Italian inventors," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1043-1056.
    3. Cédric Schneider, 2009. "External knowledge sourcing: science, market and the value of patented inventions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 551-560.
    4. Nicolas van Zeebroeck, 2011. "The puzzle of patent value indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(1), pages 33-62.
    5. Nicolas van Zeebroeck, 2007. "Patents only live twice: a patent survival analysis in Europe," Working Papers CEB 07-028.RS, ULB -- Universite Libre de Bruxelles.
    6. Andrew Eckert & Corinne Langinier, 2014. "A Survey Of The Economics Of Patent Systems And Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 996-1015, December.
    7. Alcácer, Juan & Gittelman, Michelle & Sampat, Bhaven, 2009. "Applicant and examiner citations in U.S. patents: An overview and analysis," Research Policy, Elsevier, vol. 38(2), pages 415-427, March.
    8. Alberto Galasso & Mark Schankerman, 2013. "Patents and Cumulative Innovation: Causal Evidence from the Courts," CEP Discussion Papers dp1205, Centre for Economic Performance, LSE.
    9. Galasso, Alberto & Schankerman, Mark, 2013. "Patents and cumulative innovation: causal evidence from the courts," LSE Research Online Documents on Economics 51539, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    European Patent Office; Intellectual Property Rights;

    JEL classification:

    • 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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