Expert rule versus majority rule under partial information, II

Daniel Berend, Luba Sapir

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


The main purpose of this paper is clarifying the connection between some characteristics of a deciding body and the probability of its making correct decisions. In our model a group of decision makers is required to select one of two alternatives. We assume the probabilities of the decision makers being correct are independent random variables distributed according to the same given distribution rule. This distribution belongs to a general family, containing the uniform distribution as a particular case. We investigate the behavior of the probability of the expert rule being optimal, as well as that of the majority rule, both as functions of the distribution parameter and the group size. The main result is that for any value of the distribution parameter the expert rule is far more likely to be optimal than the majority rule, especially as the deciding body becomes larger. Copyright

Original languageEnglish
Pages (from-to)79-99
Number of pages21
JournalJournal of Applied Mathematics and Decision Sciences
Issue number2
StatePublished - 1 Jan 2002


  • Decision rule
  • Expert rule
  • Majority rule
  • Optimality
  • Probability

ASJC Scopus subject areas

  • General Decision Sciences
  • Statistics and Probability
  • Computational Mathematics
  • Applied Mathematics


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