Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/268434 
Year of Publication: 
2021
Citation: 
[Journal:] Journal of Political Economy [ISSN:] 1537-534X [Volume:] 129 [Issue:] 6 [Publisher:] University of Chicago Press [Place:] Chicago, IL [Year:] 2021 [Pages:] 1828-1877
Publisher: 
University of Chicago Press, Chicago, IL
Abstract: 
When choice is stochastic, revealed preference analysis often relies on random utility models. However, it is impossible to infer preferenceswithout assumptions on the distribution of utility noise. We show that this difficulty can be overcome by using response time data. A simple condition on response time distributions ensures that choices reveal preferences without distributional assumptions. Standard models from economics and psychology generate data fulfilling this condition. Sharper results are obtained under symmetric or Fechnerian noise, where response times allow uncovering preferences or predicting choice probabilities out of sample. Application of our tools is simple and generates remarkable prediction accuracy.
Published Version’s DOI: 
Document Type: 
Article
Document Version: 
Accepted Manuscript (Postprint)
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