IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/22-31.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/wp/2022/CES-WP-22-31.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Melissa Chow & Teresa C. Fort & Christopher Goetz & Nathan Goldschlag & James Lawrence & Elisabeth Ruth Perlman & Martha Stinson & T. Kirk White, 2021. "Redesigning the Longitudinal Business Database," Working Papers 21-08, Center for Economic Studies, U.S. Census Bureau.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nathan Goldschlag & Elisabeth Perlman, 2017. "Business Dynamic Statistics of Innovative Firms," Working Papers 17-72, Center for Economic Studies, U.S. Census Bureau.
    2. Ioramashvili, Carolin, 2024. "Technological invention and local labour markets: Evidence from France, Germany and the UK," Research Policy, Elsevier, vol. 53(7).
    3. Manuel Ammann & Philipp Horsch & David Oesch, 2016. "Competing with Superstars," Management Science, INFORMS, vol. 62(10), pages 2842-2858, October.
    4. Lin, Jenny X. & Lincoln, William F., 2017. "Pirate's treasure," Journal of International Economics, Elsevier, vol. 109(C), pages 235-245.
    5. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    6. Isabel Tecu, 2013. "The Location of Industrial Innovation: Does Manufacturing Matter?," Working Papers 13-09, Center for Economic Studies, U.S. Census Bureau.
    7. William R. Kerr & Scott Duke Kominers, 2015. "Agglomerative Forces and Cluster Shapes," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 877-899, October.
    8. Impullitti, Giammario & Akcigit, Ufuk & Ates, Sina T., 2018. "Innovation and Trade Policy in a Globalized World," CEPR Discussion Papers 15804, C.E.P.R. Discussion Papers.
    9. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William Kerr, 2016. "Transition to Clean Technology," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 52-104.
    10. Baslandze, Salomé & Argente, David & Hanley, Douglas & Moreira, Sara, 2020. "Patents to Products: Product Innovation and Firm Dynamics," CEPR Discussion Papers 14692, C.E.P.R. Discussion Papers.
    11. Evangelia Chalioti & Kyriakos Drivas & Sarantis Kalyvitis & Margarita Katsimi, 2020. "Innovation, patents and trade: A firm‐level analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(3), pages 949-981, August.
    12. Nicholas Bloom & Paul Romer & Stephen J Terry & John Van Reenen, 2021. "Trapped Factors and China’s Impact on Global Growth [Competition and innovation: an inverted-U relationship]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 156-191.
    13. Zi‐Lin He & Tony W. Tong & Yuchen Zhang & Wenlong He, 2018. "Constructing a Chinese Patent Database of listed firms in China: Descriptions, lessons, and insights," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 579-606, September.
    14. Patrick Kline & Neviana Petkova & Heidi Williams & Owen Zidar, 2019. "Who Profits from Patents? Rent-Sharing at Innovative Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1343-1404.
    15. Daron Acemoglu & Ufuk Akcigit & Harun Alp & Nicholas Bloom & William Kerr, 2018. "Innovation, Reallocation, and Growth," American Economic Review, American Economic Association, vol. 108(11), pages 3450-3491, November.
    16. Javier Miranda & Nikolas Zolas, 2017. "Measuring the Impact of Household Innovation Using Administrative Data," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 61-102, National Bureau of Economic Research, Inc.
    17. Adela Luque & Vitaliy Novik, 2024. "Garage Entrepreneurs or just Self-Employed? An Investigation into Nonemployer Entrepreneurship," Working Papers 24-61, Center for Economic Studies, U.S. Census Bureau.
    18. Sari Pekkala Kerr & William R. Kerr, 2016. "Immigrant Entrepreneurship," NBER Chapters, in: Measuring Entrepreneurial Businesses: Current Knowledge and Challenges, pages 187-249, National Bureau of Economic Research, Inc.
    19. Horim Kim & Jaeyoung Kim & Kyungmyung Jang & Jaemin Han, 2020. "Are the Blockchain-Based Patents Sustainable for Increasing Firm Value?," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
    20. Fang, Jing & He, Hui & Li, Nan, 2020. "China's rising IQ (Innovation Quotient) and growth: Firm-level evidence," Journal of Development Economics, Elsevier, vol. 147(C).

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cen:wpaper:22-31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dawn Anderson (email available below). General contact details of provider: https://edirc.repec.org/data/cesgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.