On comparison of non-Bayesian experts

被引：1
|
作者：
Teper, Roee [1 ]
机构：
[1] Tel Aviv Univ, Sch Math Sci, IL-69978 Tel Aviv, Israel
来源：
MATHEMATICAL SOCIAL SCIENCES | 2010年 / 60卷 / 02期
关键词：
Comparison of experts; Knowledge; Information; AMBIGUITY;
D O I：
10.1016/j.mathsocsci.2010.05.004
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
An expert, trying to assess the true distribution over the states of nature, is associated with a preference relation over utility bundles. He prefers f to g if he believes that, according to the true distribution, the expected utility off is greater than that of g. Expert I is said to be more knowledgeable than expert II (Lefort, 2009) if, between the two experts, it is always beneficial to follow his advice. It is shown that if experts' maxmin preferences are induced by information consistent with the true distribution, then in most cases an expert having more information is not more knowledgeable. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：119 / 122
页数：4
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