Who's Who in Patents. A Bayesian approach

Lorenzo Cassi and Nicolas Carayol

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

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)
Date: 2009
Note: View the original document on HAL open archive server: https://paris1.hal.science/hal-00631750
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Citations: View citations in EconPapers (14)

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Related works:
Working Paper: Who\'s Who in Patents. A Bayesian approach (2009)
Working Paper: Who's Who in Patents. A Bayesian approach (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:hal-00631750

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