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基于瓮模型的风险与模糊性下决策的匿名化实验数据集

An Anonymized Urn-Based Experimental Dataset on Decision-Making under Risk and Ambiguity

Václav Kratochvíl, Radim Jiroušek, Klára Šimůnková, Simona Bažantová

arXiv 2608.26358首次发表:更新:

AI 中文总结

本文发布了风险与模糊性决策实验的匿名化数据集,含246名参与者的4486条记录,支持重复研究、模糊态度模型比较及行为稳定性分析。

AI 中文摘要

本文为一篇数据论文,描述了一项来自埃尔斯伯格型瓮任务中风险(概率已知)与模糊不确定性(概率部分指定或未知)下决策的受控行为实验的匿名化发布数据集。该发布包含246名成年参与者的4486条决策记录,涵盖实验室与线上两种实施场景。每项任务中,参与者会报告参与后续彩票的最大赌注,这些赌注响应可作为所实施激励机制下支付意愿的代理指标;在部分任务中,参与者还需选择想要押注的颜色。线上实施场景额外包含对各情境感知不确定性的事后评估。数据集仓库还提供了详细的博弈定义、已实现彩票结果、参与者说明及变量数据字典。原始导出包含4544条决策记录,因无法获取5名未满18岁参与者的监护人同意其数据公开发布的证明,故排除了这5名参与者的58条记录。该数据集支持重复研究、模糊态度模型的比较,以及重复参与下行为稳定性的分析。

英文摘要

This data paper describes an anonymized release derived from controlled behavioral experiments on decision-making under risk (known probabilities) and ambiguous uncertainty (partially specified or unknown probabilities) in Ellsberg-type urn tasks. The release contains 4,486 decision records from 246 adult participant records across two implementations (laboratory and online). In each task, participants reported their maximum stake to enter a subsequent lottery; these stake responses can be interpreted as proxies for willingness to pay within the implemented incentive mechanism. In a subset of tasks, participants also selected the color they wished to bet on. The online implementation additionally includes ex-post evaluations of perceived uncertainty across situations. The repository further provides detailed game definitions, realized lottery outcomes, participant instructions, and a data dictionary of variables. The source export contained 4,544 decision records; 58 records belonging to five participants younger than 18 were excluded from this release because documentation of guardian permission for unrestricted public data publication was not available. The dataset supports replication studies, comparisons of ambiguity-attitude models, and analyses of behavioral stability under repeated participation.

Comments16 pages, 1 figure. Data descriptor accompanying an anonymized experimental dataset on decision-making under risk and ambiguity

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