Who's Who in Patents. A Bayesian approach

Lorenzo Cassi (1) , Nicolas Carayol (2)

1 CES - Centre d'économie de la Sorbonne
2 GREThA - Groupe de Recherche en Economie Théorique et Appliquée

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.

Mots clés: Patents; homonymy; Bayes rule

Domaines: Economies et finances

Lorenzo Cassi, Nicolas Carayol. Who's Who in Patents. A Bayesian approach. 2009. ⟨hal-00631750⟩