Smooth aggregation of Bayesian experts

成果类型:
Article
署名作者:
Stanca, Lorenzo
署名单位:
Northwestern University
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2021.105308
发表日期:
2021
关键词:
Preference aggregation Decision under uncertainty ambiguity precautionary principle Treatment choice
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.