Smooth aggregation of Bayesian experts

被引:2
|
作者
Stanca, Lorenzo [1 ]
机构
[1] Northwestern Univ, Kellogg Sch Management, Dept Managerial Econ & Decis Sci, Evanston, IL 60208 USA
关键词
Preference aggregation; Decision under uncertainty; Ambiguity; Precautionary principle; Treatment choice; INDIVIDUALISTIC ETHICS; EXPECTED UTILITY; CARDINAL WELFARE; POLICY CHOICE; PREFERENCES; AMBIGUITY; MODEL;
D O I
10.1016/j.jet.2021.105308
中图分类号
F [经济];
学科分类号
02 ;
摘要
I study the ex-ante aggregation of preferences of Bayesian agents in a purely subjective framework. I relax the assumption of a Bayesian social preference while keeping the Pareto condition. Under a simple axiom that relates society's preference to those of the agents, I obtain an additively separable representation of society's preference. Adding an ambiguity aversion axiom I obtain a representation that resembles the Smooth Ambiguity Criterion of Klibanoff et al. (2005). I then briefly consider applications of this frame-work to inequality and treatment choice under ambiguity. (c) 2021 Elsevier Inc. All rights reserved.
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页数:25
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