Expert Classification Aggregation

Federico Fioravanti
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Federico Fioravanti: University of Amsterdam/UNS-CONICET

No 339, Working Papers from Red Nacional de Investigadores en Economía (RedNIE)

Abstract: We consider the problem where a set of individuals has to classify m objects into p categories by aggregating the individual classifications, and no category can be left empty. An aggregator satisfies Expertise if individuals are decisive either over the classification of a given object, or the classification into a given category. We show that requiring an aggregator to satisfy Expertise and be either unanimous or independent leads to numerous impossibility results

Keywords: Classification Aggregation; Expertise (search for similar items in EconPapers)
JEL-codes: D71 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2024-10
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Persistent link: https://EconPapers.repec.org/RePEc:aoz:wpaper:339

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