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The Determinants of Patent Applications Outcomes - Does Experience Matter?

  • Schneider, Cédric

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.

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File URL: http://mpra.ub.uni-muenchen.de/3359/1/MPRA_paper_3359.pdf
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File URL: http://mpra.ub.uni-muenchen.de/8625/1/MPRA_paper_8625.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 3359.

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Date of creation: 2007
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Handle: RePEc:pra:mprapa:3359
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  1. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2003. "Citations, family size, opposition and the value of patent rights," Research Policy, Elsevier, vol. 32(8), pages 1343-1363, September.
  2. Harhoff, Dietmar & Wagner, Stefan, 2005. "Modelling the duration of patent examination at the European Patent Office," CEPR Discussion Papers 5283, C.E.P.R. Discussion Papers.
  3. Bronwyn H. Hall, Albert N. Link and John T. Scott., 2000. "Universities as Research Partners," Economics Working Papers E00-276, University of California at Berkeley.
  4. Régibeau, Pierre & Rockett, Katharine, 2007. "Are More Important Patents Approved More Slowly and Should They Be?," CEPR Discussion Papers 6178, C.E.P.R. Discussion Papers.
  5. Morten Bennedsen & Kasper M. Nielsen & Francisco Pérez-González & Daniel Wolfenzon, 2006. "Inside the Family Firm: The Role of Families in Succession Decisions and Performance," NBER Working Papers 12356, National Bureau of Economic Research, Inc.
  6. van Dijk, Theon & Duysters, Geert, 1998. "Passing the European Patent Office: evidence from the data-processing industry," Research Policy, Elsevier, vol. 27(9), pages 937-946, December.
  7. Guellec, Dominique & Pottelsberghe de la Potterie, Bruno v., 2000. "Applications, grants and the value of patent," Economics Letters, Elsevier, vol. 69(1), pages 109-114, October.
  8. Harhoff, Dietmar & Reitzig, Markus, 2002. "Determinants of Opposition Against EPO Patent Grants - The Case of Biotechnology and Pharmaceuticals," CEPR Discussion Papers 3645, C.E.P.R. Discussion Papers.
  9. Colin Webb & Hélène Dernis & Dietmar Harhoff & Karin Hoisl, 2005. "Analysing European and International Patent Citations: A Set of EPO Patent Database Building Blocks," OECD Science, Technology and Industry Working Papers 2005/9, OECD Publishing.
  10. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
  11. Dietmar Harhoff & Francis Narin & Frederic M. Scherer & Katrin Vopel, 1997. "Citation Frequency and the Value of Patented Innovation," CIG Working Papers FS IV 97-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  12. 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.
  13. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
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