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Patent Outcomes and the Gender Composition of Teams

Author

Listed:
  • Talia Bar

    (University of Connecticut)

  • Heshan Zhang

    (PNC Bank)

Abstract
We examine gender differences in US patent outcomes -- forward citations, triadic grants (related patents in EU and Japan), and renewals. We find that differences in workplace explain a significant part of the gap. After accounting for technology, application years, examiners and patent assignees, we show that while on average, patent teams with at least one woman-inventor have slightly weaker outcomes, for solo-inventor patents there are no significant gender differences in any of the outcomes. But men-lead mixed gender teams have on average slightly weaker outcomes than men-only teams, even when we control for the identity of the first inventor.

Suggested Citation

  • Talia Bar & Heshan Zhang, 2024. "Patent Outcomes and the Gender Composition of Teams," Working papers 2024-04, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2024-04
    as

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    References listed on IDEAS

    as
    1. Michael D. Frakes & Melissa F. Wasserman, 2017. "Is the Time Allocated to Review Patent Applications Inducing Examiners to Grant Invalid Patents? Evidence from Microlevel Application Data," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 550-563, July.
    2. 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.
    3. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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