Who\'s Who in Patents. A Bayesian approach

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Who\'s Who in Patents. A Bayesian approach

Author Info

Nicolas CARAYOL (GREThA UMR CNRS 5113)
Lorenzo CASSI (CES, Université Paris 1 Panthéon Sorbonne - CNRS)

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Lorenzo Cassi

Abstract

This 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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Publisher Info
Paper provided by Groupe de Recherche en Economie Théorique et Appliquée in its series Cahiers du GREThA with number 2009-07.

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Date of creation: 2009
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Handle: RePEc:grt:wpegrt:2009-07

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Related research
Keywords: Patents; homonymy; Bayes rule;

Find related papers by JEL classification:
C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - 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 - - - General

This paper has been announced in the following NEP Reports:

NEP-ALL-2009-10-31 (All new papers)
NEP-ECM-2009-10-31 (Econometrics)
NEP-INO-2009-10-31 (Innovation)
NEP-IPR-2009-10-31 (Intellectual Property Rights)

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This page was last updated on 2009-11-30.

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