Who\'s Who in Patents. A Bayesian approach

Nicolas Carayol and Lorenzo Cassi

Cahiers du GREThA (2007-2019) from Groupe de Recherche en Economie Théorique et Appliquée (GREThA)

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.

Keywords: Patents; homonymy; Bayes rule (search for similar items in EconPapers)
JEL-codes: C81 C88 O30 (search for similar items in EconPapers)
Date: 2009
New Economics Papers: this item is included in nep-ecm, nep-ino, nep-ipr and nep-pr~
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://cahiersdugretha.u-bordeaux.fr/2009/2009-07.pdf (application/pdf)

Related works:
Working Paper: Who's Who in Patents. A Bayesian approach (2009)
Working Paper: Who's Who in Patents. A Bayesian approach (2009)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:grt:wpegrt:2009-07

Access Statistics for this paper

More papers in Cahiers du GREThA (2007-2019) from Groupe de Recherche en Economie Théorique et Appliquée (GREThA) Contact information at EDIRC.
Bibliographic data for series maintained by Ernest Miguelez ().