The Rich Domain of Ambiguity Explored

• 成果类型: Article
• 署名作者: Li, Zhihua; Mueller, Julia; Wakker, Peter P.; Wang, Tong, V
• 署名单位: University of Warwick; University of Munster; Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University Rotterdam
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2017.2777
• 发表日期: 2018
• 页码: 3227-3240
• 关键词: Ambiguity aversion; Likelihood insensitivity; pessimism; rationality; fourfold pattern

摘要

Ellsberg and others suggested that decision under ambiguity is a rich empirical domain with many phenomena to be investigated beyond the Ellsberg urns. We provide a systematic empirical investigation of this richness by varying the uncertain events, the outcomes, and combinations of both. Although ambiguity aversion is prevailing, we also find systematic ambiguity seeking, confirming insensitivity. We find that ambiguity attitudes depend on the kind of uncertainty (the source) but not on the kind of outcomes. Ambiguity attitudes are closer to rationality (ambiguity neutrality) for natural uncertainties than for artificial Ellsberg urn uncertainties. This also appears from the reductions of monotonicity violations and of insensitivity. Ambiguity attitudes have predictive power across different outcomes and sources of uncertainty, with individual-specific components. Our rich domain serves well to test families of weighting functions for fitting ambiguity attitudes. We find that two-parameter families, capturing not only aversion but also insensitivity, are desirable for ambiguity even more than for risk. The Goldstein-Einhorn family performed best for ambiguity.