Daniel Berend

Senior Academic

Expert rule versus majority rule under partial information, II

Daniel Berend, Luba Sapir

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

Publication language English
Pages 79-99
Journal Journal of Applied Mathematics and Decision Sciences
Volume 6
Issue number 2
Publication status Published - 01.01.2002

Keywords

Decision rule
Expert rule
Majority rule
Optimality
Probability

ASJC Scopus subject areas

General Decision Sciences
Statistics and Probability
Computational Mathematics
Applied Mathematics
Access to Document
10.1155/S1173912602000068
Other files and links
Link to publication in Scopus