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Happy times: measuring happiness using response times

Author

Listed:
  • Shuo Liu
  • Nick Netzer
Abstract
Surveys that measure subjective states like happiness or preferences often generate discrete ordinal data. Ordered response models, which are commonly used to analyze such data, suffer from a fundamental identification problem. Their conclusions depend on unjustified assumptions about the distribution of a latent variable. In this paper, we propose using survey response times to solve that problem. Response times contain information about the distribution of the latent variable even among subjects who give the same survey response, through a chronometric effect. Using an online survey, we test and verify the existence of the chronometric effect. We then provide theoretical conditions under which group differences in happiness or other variables are detectable based on response time data without making distributional assumptions. In our survey, we find evidence supporting the assumptions of traditional ordered response models for some common survey questions but not for others.

Suggested Citation

  • Shuo Liu & Nick Netzer, 2020. "Happy times: measuring happiness using response times," ECON - Working Papers 371, Department of Economics - University of Zurich, revised Mar 2023.
    • Handle: RePEc:zur:econwp:371
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    References listed on IDEAS

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    Cited by:

    1. Jean-Michel Benkert & Shuo Liu & Nick Netzer, 2024. "Time is Knowledge: What Response Times Reveal," Papers 2408.14872, arXiv.org.
    2. Daniel J. Benjamin & Kristen Cooper & Ori Heffetz & Miles S. Kimball, 2023. "From Happiness Data to Economic Conclusions," NBER Working Papers 31727, National Bureau of Economic Research, Inc.
    3. Francesco Berlingieri & Matija Kovacic, 2023. "Health and relationship quality of the LGBTQIA+ population in Europe," Working Papers 2023: 29, Department of Economics, University of Venice "Ca' Foscari".
    4. Penghu Zhu & Yingying Hu & Ning Zhang, 2024. "How does civilization promote happiness? Insights from the Civilized Cities Program in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.

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    More about this item

    Keywords

    Surveys; ordinal data; response times; non-parametric identification;
    All these keywords.

    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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