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How to play the "Names Game": Patent retrieval comparing different heuristics

  • Raffo, Julio
  • Lhuillery, Stéphane

Patent statistics represent a critical tool for scholars, statisticians and policy makers interested in innovation and intellectual property rights. Many analyses are based on heterogeneous methods delineating the inventors' or firms' patent portfolios without questioning the quality of the method employed. We assess different heuristics in order to provide a robust solution to automatically retrieve inventors in large patent datasets (PATSTAT). The solution we propose reduces the usual errors by 50% and casts doubts on the reliability of statistical indicators and micro-econometric results based on common matching procedures. Guidelines for researchers, TTOs, firms, venture capitalists and policy makers likely to implement a names game or to comment on results based on a names game are also provided.

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File URL: http://www.sciencedirect.com/science/article/B6V77-4X962R8-1/2/3363e8b9f2cba4d623a6b11ae3ac62f7
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Article provided by Elsevier in its journal Research Policy.

Volume (Year): 38 (2009)
Issue (Month): 10 (December)
Pages: 1617-1627

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Handle: RePEc:eee:respol:v:38:y:2009:i:10:p:1617-1627
Contact details of provider: Web page: http://www.elsevier.com/locate/respol

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  1. Gerald Marschke, 2006. "The influence of university research on industrial innovation," Proceedings, Federal Reserve Bank of Cleveland.
  2. Francesco Lissoni & Bulat Sanditov & Gianluca Tarasconi, 2006. "The Keins Database on Academic Inventors: Methodology and Contents," KITeS Working Papers 181, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Sep 2006.
  3. Cantner, Uwe & Graf, Holger, 2006. "The network of innovators in Jena: An application of social network analysis," Research Policy, Elsevier, vol. 35(4), pages 463-480, May.
  4. Jerry Thursby & Anne Fuller & Marie Thursby, 2007. "US Faculty Patenting: Inside and Outside the University," NBER Working Papers 13256, National Bureau of Economic Research, Inc.
  5. Azoulay, Pierre & Ding, Waverly & Stuart, Toby, 2007. "The determinants of faculty patenting behavior: Demographics or opportunities?," Journal of Economic Behavior & Organization, Elsevier, vol. 63(4), pages 599-623, August.
  6. Pierre Azoulay & Waverly Ding & Toby Stuart, 2007. "The Determinants of Faculty Patenting Behavior: Demographics or Opportunities?," NBER Chapters, in: Academic Science and Entrepreneurship: Dual Engines of Growth National Bureau of Economic Research, Inc.
  7. Mariani, Myriam & Romanelli, Marzia, 2007. ""Stacking" and "picking" inventions: The patenting behavior of European inventors," Research Policy, Elsevier, vol. 36(8), pages 1128-1142, October.
  8. Bruno Van Pottelsberghe & Eleftherios Sapsalis & Ran Navon, 2006. "Academic vs. industry patenting: an in-depth analysis of what determines patent value," ULB Institutional Repository 2013/6197, ULB -- Universite Libre de Bruxelles.
  9. Soete, Luc & Freeman, Chris, 2007. "Developing science, technology and innovation indicators: what we can learn from the past," MERIT Working Papers 001, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  10. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
  11. Grid Thoma & Salvatore Torrisi, 2007. "Creating Powerful Indicators for Innovation Studies with Approximate Matching Algorithms. A test based on PATSTAT and Amadeus databases," KITeS Working Papers 211, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Dec 2007.
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