模糊性偏好与风险偏好是否一致?

IF 1.6 3区 经济学 Q2 ECONOMICS
Kene Boun My , Marielle Brunette , Stéphane Couture , Sarah Van Driessche
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引用次数: 0

摘要

在我们的日常生活中,经常会遇到风险和模糊性下的决策,而相关的偏好往往是量化的。本文探讨了个人对风险和模糊性的偏好之间的关系。特别是,我们对偏好的相关性及其一致性提出了质疑。为此,我们分析了通过彩票选择实验来衡量个人风险偏好和模糊偏好的实验数据。结果表明,大多数受试者都是风险偏好者和模糊偏好者。我们还表明,风险偏好和模糊偏好呈负相关。最后,我们证明了大多数受试者对模糊性的偏好与对风险的偏好是完全一致或弱一致的。样本中有 34% 的人对模糊性的偏好与对风险的偏好相反。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are ambiguity preferences aligned with risk preferences?

Decisions under risk and ambiguity are frequently encountered in our daily lives, and the associated preferences are often quantified. This article deals with the relationship between individuals’ preferences towards risk and ambiguity. In particular, we question the correlation of the preferences and their alignment. For that purpose, we analyze experimental data that measures individuals’ risk and ambiguity preferences through a lottery choice experiment. The results indicate that most of the subjects are risk-loving and ambiguity-averse. We also show that risk preferences and ambiguity preferences are negatively correlated. Finally, we prove that the majority of subjects have preferences towards ambiguity that are aligned with those towards risk, either perfectly or weakly. Thirty-four percent of the sample has preferences towards ambiguity that are the opposite of those towards risk.

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来源期刊
CiteScore
2.60
自引率
12.50%
发文量
113
审稿时长
83 days
期刊介绍: The Journal of Behavioral and Experimental Economics (formerly the Journal of Socio-Economics) welcomes submissions that deal with various economic topics but also involve issues that are related to other social sciences, especially psychology, or use experimental methods of inquiry. Thus, contributions in behavioral economics, experimental economics, economic psychology, and judgment and decision making are especially welcome. The journal is open to different research methodologies, as long as they are relevant to the topic and employed rigorously. Possible methodologies include, for example, experiments, surveys, empirical work, theoretical models, meta-analyses, case studies, and simulation-based analyses. Literature reviews that integrate findings from many studies are also welcome, but they should synthesize the literature in a useful manner and provide substantial contribution beyond what the reader could get by simply reading the abstracts of the cited papers. In empirical work, it is important that the results are not only statistically significant but also economically significant. A high contribution-to-length ratio is expected from published articles and therefore papers should not be unnecessarily long, and short articles are welcome. Articles should be written in a manner that is intelligible to our generalist readership. Book reviews are generally solicited but occasionally unsolicited reviews will also be published. Contact the Book Review Editor for related inquiries.
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