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Embracing invention similarity for the measurement of vertically overlapping claims

Author

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  • Charles A. W. deGrazia
  • Jesse P. Frumkin
  • Nicholas A. Pairolero

Abstract

Clear and well-defined patent rights can incentivize innovation by granting monopoly rights to the inventor for a limited period of time in exchange for public disclosure of the invention. However, with cumulative innovation, when a product draws from intellectual property held across multiple firms (including fragmented intellectual property or patent thickets), contracting failures may lead to suboptimal economic outcomes. However, an alternative theory, developed by a variety of scholars, contends that patent thickets have a more ambiguous effect. Researchers have developed several measures to gauge the extent and impact of cumulative innovation and the various channels of patent thickets. This paper contends that mis-measurement may contribute to the incoherence and overall lack of consensus within the patent thickets literature. Specifically, the literature is missing a precise measure of vertically overlapping claims. We propose a new measure of vertically overlapping claims that incorporates invention similarity to more precisely identify inventive overlap. The measure defined in this paper will enable more accurate measurement, and allow for novel economic research on cumulative innovation, fragmentation in intellectual property, and patent thickets within and across all patent jurisdictions.

Suggested Citation

  • Charles A. W. deGrazia & Jesse P. Frumkin & Nicholas A. Pairolero, 2020. "Embracing invention similarity for the measurement of vertically overlapping claims," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 29(2), pages 113-146, February.
  • Handle: RePEc:taf:ecinnt:v:29:y:2020:i:2:p:113-146
    DOI: 10.1080/10438599.2019.1593035
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    Cited by:

    1. Lorenz Brachtendorf & Fabian Gaessler & Dietmar Harhoff, 2023. "Truly standardā€essential patents? A semanticsā€based analysis," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 132-157, January.
    2. Arts, Sam & Hou, Jianan & Gomez, Juan Carlos, 2021. "Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures," Research Policy, Elsevier, vol. 50(2).

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