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Time is knowledge: what response times reveal

Author

Listed:
  • Jean-Michel Benkert
  • Shuo Liu
  • Nick Netzer

Abstract

Response times contain information about economically relevant but unobserved variables like willingness to pay, preference intensity, quality, or happiness. We provide a general characterization of the properties of latent variables that can be detected using response time data. Our theoretical framework unifies and generalizes results in the literature and gives rise to many new applications. We illustrate the rich insights that the method can deliver through several empirical applications: revealed preference analysis, identifying an optimal nudge, testing decreasing marginal happiness of income, and predicting treatment heterogeneity.

Suggested Citation

  • Jean-Michel Benkert & Shuo Liu & Nick Netzer, 2024. "Time is knowledge: what response times reveal," ECON - Working Papers 449, Department of Economics - University of Zurich, revised Feb 2026.
  • Handle: RePEc:zur:econwp:449
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    References listed on IDEAS

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    1. Ruut Veenhoven, 2005. "Inequality Of Happiness in Nations," Journal of Happiness Studies, Springer, vol. 6(4), pages 351-355, December.
    2. Oswald, Andrew J., 2008. "On the curvature of the reporting function from objective reality to subjective feelings," Economics Letters, Elsevier, vol. 100(3), pages 369-372, September.
    3. Katherine B. Coffman & Lucas C. Coffman & Keith M. Marzilli Ericson, 2017. "The Size of the LGBT Population and the Magnitude of Antigay Sentiment Are Substantially Underestimated," Management Science, INFORMS, vol. 63(10), pages 3168-3186, October.
    4. Shuo Liu & Nick Netzer, 2023. "Happy Times: Measuring Happiness Using Response Times," American Economic Review, American Economic Association, vol. 113(12), pages 3289-3322, December.
    5. Eric Maskin & John Riley, 2000. "Asymmetric Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 413-438.
    6. Arkady Konovalov & Ian Krajbich, 2019. "Revealed strength of preference: Inference from response times," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 381-394, July.
    7. Wim Kalmijn & Ruut Veenhoven, 2005. "Measuring Inequality of Happiness in Nations: In Search for Proper Statistics," Journal of Happiness Studies, Springer, vol. 6(4), pages 357-396, December.
    8. Cowell, Frank, 2011. "Measuring Inequality," OUP Catalogue, Oxford University Press, edition 3, number 9780199594047.
    9. Ariel Rubinstein, 2016. "A Typology of Players: Between Instinctive and Contemplative," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 859-890.
    10. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D60 - Microeconomics - - Welfare Economics - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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