Who\'s Who in Patents. A Bayesian approach

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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Year of publication:	2009
Authors:	CARAYOL, Nicolas ; CASSI, Lorenzo
Institutions:	Groupe de Recherche en Économie Théorique et Appliquée (GREThA), Université de Bordeaux
Subject:	Patents \| homonymy \| Bayes rule

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Extent:	application/pdf
Series:	Cahiers du GREThA.
Type of publication:	Book / Working Paper
Language:	English
Classification:	C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C88 - Other Computer Software ; O30 - Technological Change; Research and Development. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008477227