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Improving Patent Assignee-Firm Bridge with Web Search Results

Author

Listed:
  • Yuheng Ding
  • Karam Jo
  • Seula Kim

Abstract

This paper constructs a patent assignee-firm longitudinal bridge between U.S. patent assignees and firms using firm-level administrative data from the U.S. Census Bureau. We match granted patents applied between 1976 and 2016 to the U.S. firms recorded in the Longitudinal Business Database (LBD) in the Census Bureau. Building on existing algorithms in the literature, we first use the assignee name, address (state and city), and year information to link the two datasets. We then introduce a novel search-aided algorithm that significantly improves the matching results by 7% and 2.9% at the patent and the assignee level, respectively. Overall, we are able to match 88.2% and 80.1% of all U.S. patents and assignees respectively. We contribute to the existing literature by 1) improving the match rates and quality with the web search-aided algorithm, and 2) providing the longest and longitudinally consistent crosswalk between patent assignees and LBD firms.

Suggested Citation

  • Yuheng Ding & Karam Jo & Seula Kim, 2022. "Improving Patent Assignee-Firm Bridge with Web Search Results," Working Papers 22-31, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:22-31
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    File URL: https://www2.census.gov/ces/wp/2022/CES-WP-22-31.pdf
    File Function: First version, 2022
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    References listed on IDEAS

    as
    1. David Autor & David Dorn & Gordon H. Hanson & Gary Pisano & Pian Shu, 2020. "Foreign Competition and Domestic Innovation: Evidence from US Patents," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 357-374, September.
    2. Natarajan Balasubramanian & Jagadeesh Sivadasan, 2010. "NBER Patent Data-BR Bridge: User Guide and Technical Documentation," Working Papers 10-36, Center for Economic Studies, U.S. Census Bureau.
    3. Natarajan Balasubramanian & Jagadeesh Sivadasan, 2011. "What Happens When Firms Patent? New Evidence from U.S. Economic Census Data," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 126-146, February.
    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. Stuart J.H. Graham & Cheryl Grim & Tariqul Islam & Alan C. Marco & Javier Miranda, 2018. "Business dynamics of innovating firms: Linking U.S. patents with administrative data on workers and firms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 372-402, September.
    6. Melissa C. Chow & Teresa C. Fort & Christopher Goetz & Nathan Goldschlag & James Lawrence & Elisabeth Ruth Perlman & Martha Stinson & T. Kirk White, 2021. "Redesigning the Longitudinal Business Database," NBER Working Papers 28839, National Bureau of Economic Research, Inc.
    7. Bethany DeSalvo & Frank F. Limehouse & Shawn D. Klimek, 2016. "Documenting the Business Register and Related Economic Business Data," Working Papers 16-17, Center for Economic Studies, U.S. Census Bureau.
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    Cited by:

    1. Jo, Karam & Kim, Seula, 2024. "Heterogeneous Innovations and Growth Under Imperfect Technology Spillovers," IZA Discussion Papers 17581, Institute of Labor Economics (IZA).
    2. Karam Jo & Seula Kim, 2024. "Competition, Firm Innovation, and Growth under Imperfect Technology Spillovers," Working Papers 24-40, Center for Economic Studies, U.S. Census Bureau.

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    More about this item

    Keywords

    Innovation; Patent; Patent-firm Concordance; Linked Administrative Data;
    All these keywords.

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