揭示选择框定
Revealing Choice Bracketing
AI总结：
针对现有研究未检验人们是否采用窄框定的问题，该研究设计新实验与显示偏好检验，发现多数受试者更符合窄框定特征，为理解选择框定行为提供了实验证据。
摘要：
实验表明人们无法考虑自身选择之间的相互依赖关系——他们不会采用宽框定。研究者通常反而假定人们采用窄框定，但现有实验设计并未对这一点进行检验。我们设计了一项新颖实验，并针对人们如何对其选择进行框定提出了显示偏好检验。在风险下的投资组合分配、社会分配以及诱导价值购物实验中，40-43%的受试者符合窄框定特征，0-16%符合宽框定特征。针对每个模型的预测精度进行调整后，74%的受试者最适合用窄框定描述，13%适合用宽框定描述，6%属于中间情况。
英文摘要：
Experiments suggest that people fail to take into account interdependencies between their choices -- they do not broadly bracket. Researchers often instead assume that people narrowly bracket, but existing designs do not test it. We design a novel experiment and revealed preference tests for how someone brackets their choices. In portfolio allocation under risk, social allocation, and induced-value shopping experiments, 40-43% of subjects are consistent with narrow bracketing and 0-16% with broad bracketing. Adjusting for each model's predictive precision, 74% of subjects are best described by narrow bracketing, 13% by broad bracketing, and 6% by intermediate cases.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
