The optimality of the expert and majority rules under exponentially distributed competence

Luba Sapir

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We study the uncertain dichotomous choice model. In this model a set of decision makers is required to select one of two alternatives, say 'support' or 'reject' a certain proposal. Applications of this model are relevant to many areas, such as political science, economics, business and management. The purpose of this paper is to estimate and compare the probabilities that different decision rules may be optimal. We consider the expert rule, the majority rule and a few inbetween rules. The information on the decisional skills is incomplete, and these skills arise from an exponential distribution. It turns out that the probability that the expert rule is optimal far exceeds the probability that the majority rule is optimal, especially as the number of the decision makers becomes large.

Original languageEnglish
Pages (from-to)19-36
Number of pages18
JournalTheory and Decision
Issue number1
StatePublished - 1 Jan 1998


  • Decision rule
  • Expert rule
  • Logarithmic expertise
  • Majority rule
  • Optimal rule
  • Partial information

ASJC Scopus subject areas

  • General Decision Sciences
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Applied Psychology
  • General Social Sciences
  • Economics, Econometrics and Finance (all)
  • Computer Science Applications


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