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Time is Knowledge: What Response Times Reveal

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  • 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. Here, we provide a general characterization of the properties of latent variables that can be detected using response time data. Our characterization generalizes various results in the literature, helps to solve identification problems of binary response models, and paves the way for many new applications. We apply the result to test the hypothesis that marginal happiness is decreasing in income, a principle that is commonly accepted but so far not established empirically.

Suggested Citation

  • Jean-Michel Benkert, Shuo Liu, Nick Netzer, 2024. "Time is Knowledge: What Response Times Reveal," Diskussionsschriften dp2407, Universitaet Bern, Departement Volkswirtschaft.
    • Handle: RePEc:ube:dpvwib:dp2407
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    References listed on IDEAS

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    1. 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.
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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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