Knowledge networks from patent data: Methodological issues and research targets
AbstractThe economic literature on technical change has increasingly relied upon patent citation data to measure inter-personal knowledge flows. Many doubts exist on whether patent citations really reflect the designated inventors’ knowledge of both their technical fields, and of the other inventors and experts therein: citations, in fact, come mainly from the patent examiners, and possibly the patent applicant’s lawyers, rather than from inventors themselves. Unfortunately, most of the papers dedicated to discussing these interpretation issues deal with USPTO data, whose citation rules are quite exceptional if compared to those of other patent offices. In addition, some confusion exists between the two issues of awareness (whether citing inventors actually knew of the cited patents) and existence of a knowledge flow (whether some information on the contents of the cited patents has however reached the, possibly unaware, citing inventor). Questionnaires addressed to inventors are severely affected by this confusion, and can hardly dispel the existing doubts. We then propose to apply social network analysis to derive maps of social relationships between inventors, and measures of social proximity between cited and citing patents. Logit regressions demonstrate that the probability to observe a citation is positively influenced by such proximity. In order to perform such regressions,however,a specific sampling scheme has to used, which we also illustrate and discuss.
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Bibliographic InfoPaper provided by KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy in its series KITeS Working Papers with number 150.
Length: 22 pages
Date of creation: Jan 2004
Date of revision: Jan 2004
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Find related papers by JEL classification:
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O34 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-03-28 (All new papers)
- NEP-NET-2004-04-11 (Network Economics)
- NEP-URE-2004-03-28 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Peter Thompson & Melanie Fox Kean, 2004.
"Patent Citations and the Geography of Knowledge Spillovers: A Reassessment,"
0401, Florida International University, Department of Economics.
- Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment," American Economic Review, American Economic Association, vol. 95(1), pages 450-460, March.
- Jaffe, A.B. & Trajtenberg, M., 1992.
"Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations,"
14-92, Tel Aviv.
- Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
- Sorenson, Olav & Fleming, Lee, 2004. "Science and the diffusion of knowledge," Research Policy, Elsevier, vol. 33(10), pages 1615-1634, December.
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