Borda and the Maximum Likelihood Approach to Vote Aggregation

Michel Truchon

Cahiers de recherche from CIRPEE

Abstract: Drissi-Bakhkhat and Truchon ["Maximum Likelihood Approach to Vote Aggregation with Variable Probabilities," Social Choice and Welfare, 23, (2004), 161-185.] extend the Condorcet-Kemeny-Young maximum likelihood approach to vote aggregation by relaxing the assumption that the probability of correctly ordering two alternatives is the same for all pairs of alternatives. They let this probability increase with the distance between the two alternatives in the true order, to reflect the intuition that a judge or voter is more prone to errors when confronted to two comparable alternatives than when confronted to a good alternative and a bad one. In this note, it is shown than, for a suitably chosen probability function, the maximum likelihood rule coincides with the Borda rule, thus, partially reconciling the Borda and the Condorcet methods.

Keywords: Vote aggregation; ranking rules; maximum likelihood; Borda (search for similar items in EconPapers)
JEL-codes: D71 (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-cdm, nep-dcm, nep-ecm and nep-pol
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Citations: View citations in EconPapers (2)

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Journal Article: Borda and the maximum likelihood approach to vote aggregation (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:lvl:lacicr:0623

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