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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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