Reducing Choice Overload without Reducing Choices
Tibor Besedeš; Cary Deck; Sudipta Sarangi; Mikhael Shor · 2015 · The Review of Economics and Statistics
WASTE classifies this as Failed Experiment Report · AI classification, approximate
An experimental approach did not work as intended — learn what to avoid before investing the same effort.
Abstract (excerpt)
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…
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Metadata source: OpenAlex · DOI 10.1162/rest_a_00506