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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Time Will Tell: Recovering Preferences When Choices Are Noisy
Organization Unit
Authors
  • Carlos Alos-Ferrer
  • Ernst Fehr
  • Nick Netzer
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Journal of Political Economy
Publisher University of Chicago Press
Geographical Reach international
ISSN 0022-3808
Volume 129
Number 6
Page Range 1828 - 1877
Date 2021
Abstract Text When choice is stochastic, revealed preference analysis often relies on random utility models. However, it is impossible to infer preferences without 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.
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Digital Object Identifier 10.1086/713732
Other Identification Number merlin-id:21073
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Keywords Economics and Econometrics