REDUCING CHOICE OVERLOAD WITHOUT REDUCING CHOICES

成果类型:
Article
署名作者:
Besedes, Tibor; Deck, Cary; Sarangi, Sudipta; Shor, Mikhael
署名单位:
University System of Georgia; Georgia Institute of Technology; University of Arkansas System; University of Arkansas Fayetteville; Louisiana State University System; Louisiana State University; National Science Foundation (NSF); University of Connecticut
刊物名称:
REVIEW OF ECONOMICS AND STATISTICS
ISSN/ISSBN:
0034-6535
DOI:
10.1162/REST_a_00506
发表日期:
2015-10
页码:
793-802
关键词:
DECISION-MAKING selection BIAS plan
摘要:
Previous studies have demonstrated that a multitude of options can lead to choice overload, reducing decision quality. Through controlled experiments, we examine sequential choice architectures that enable the choice set to remain large while potentially reducing the effect of choice overload. A specific tournament-style architecture achieves this goal. An alternate architecture in which subjects compare each subset of options to the most preferred option encountered thus far fails to improve performance due to the status quo bias. Subject preferences over different choice architectures are negatively correlated with performance, suggesting that providing choice over architectures might reduce the quality of decisions.
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