Improving Patent Assignee-Firm Bridge with Web Search Results

Yuheng Ding, Karam Jo and Seula Kim

Working Papers from U.S. Census Bureau, Center for Economic Studies

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.

Keywords: Innovation; Patent; Patent-firm Concordance; Linked Administrative Data (search for similar items in EconPapers)
Pages: 70 pages
Date: 2022-08
New Economics Papers: this item is included in nep-bec, nep-ino, nep-ipr, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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https://www2.census.gov/ces/wp/2022/CES-WP-22-31.pdf First version, 2022 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:22-31

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