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Are All Patent Examiners Equal? The Impact of Examiner Characteristics

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  • Iain M. Cockburn
  • Samuel Kortum
  • Scott Stern

Abstract

Building on insights gained from interviewing administrators and patent examiners at the United States Patent and Trademark Office (USPTO), we collect and analyze a novel dataset on patent examiners and patent outcomes. This dataset is based on 182 patents for which the Court of Appeals for the Federal Circuit (CAFC) ruled on validity between 1997 and 2000. For each patent, we identify a USPTO primary examiner, and collect historical statistics derived from their entire patent examination history. These data are used to explore a number of hypotheses about the connection between the patent examination process and the strength of ensuing patent rights. Our main findings are as follows. (i) Patent examiners and the patent examination process are not homogeneous. There is substantial variation in observable characteristics of patent examiners, such as their tenure at the USPTO, the number of patents they have examined and the degree to which the patents that they examine are later cited by other patents. (ii) There is no evidence that examiner experience or workload at the time a patent is issued affects the probability that the CAFC finds a patent invalid. (iii) Examiners whose patents tend to be more frequently cited tend to have a higher probability of a CAFC invalidity ruling. The results suggest that all patent examiners are not equal, and that one of the roles of the CAFC is to review the exercise of discretion in the patent examination process.

Suggested Citation

  • Iain M. Cockburn & Samuel Kortum & Scott Stern, 2002. "Are All Patent Examiners Equal? The Impact of Examiner Characteristics," NBER Working Papers 8980, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8980
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    1. repec:fth:harver:1473 is not listed on IDEAS
    2. Jean Lanjouw & Josh Lerner, 1998. "The Enforcement of Intellectual Property Rights: A Survey of the Empirical Literature," Annals of Economics and Statistics, GENES, issue 49-50, pages 223-246.
    3. Josh Lerner, 2005. "150 Years of Patent Office Practice," American Law and Economics Review, American Law and Economics Association, vol. 7(1), pages 112-143.
    4. 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.
    5. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    6. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    7. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    8. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1988. "Appropriating the Returns from Industrial R&D," Cowles Foundation Discussion Papers 862, Cowles Foundation for Research in Economics, Yale University.
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    More about this item

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • K3 - Law and Economics - - Other Substantive Areas of Law

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