Who's Who in Patents. A Bayesian approach
AbstractThis paper proposes a bayesian methodology to treat the who's who problem arising in individual level data sets such as patent data. We assess the usefullness of this methodology on the set of all French inventors appearing on EPO applications from 1978 to 2003.
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Date of creation: 2009
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Patents; homonymy; Bayes rule;
Other versions of this item:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
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.:
- Melamed, Ran & Shiff, Gil & Trajtenberg, Manuel, 2006.
"The 'Names Game': Harnessing Inventors Patent Data for Economic Research,"
CEPR Discussion Papers
5833, C.E.P.R. Discussion Papers.
- Manuel Trajtenberg & Gil Shiff & Ran Melamed, 2006. "The "Names Game": Harnessing Inventors' Patent Data for Economic Research," NBER Working Papers 12479, National Bureau of Economic Research, Inc.
- Nicolas CARAYOL & Pascale ROUX, 2007. "The Strategic Formation of Interindividual Collaboration Networks. Evidence from Co-invention Patterns," Annales d'Economie et de Statistique, ENSAE, issue 87-88, pages 275-301.
- 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.
- Michele PEZZONI (University of Milano-Bicocca - KiTES-Università Bocconi - Observatoire des Sciences et des Techniques) & Francesco LISSONI (GREThA, CNRS, UMR 5113 - KiTES) & Gianluca TARASCONI (KiTE, 2012. "How To Kill Inventors: Testing The Massacrator© Algorithm For Inventor Disambiguation," Cahiers du GREThA 2012-29, Groupe de Recherche en Economie Théorique et Appliquée.
- Cassi, Lorenzo & Plunket, Anne, 2013. "Proximity, network formation and inventive performance: in search of the proximity paradox," MPRA Paper 47388, University Library of Munich, Germany.
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