IDEAS home Printed from https://ideas.repec.org/p/hal/pseptp/halshs-04331367.html

What do Happiness Data Mean? Theory and Survey Evidence

Author

Listed:
  • Daniel Benjamin

    (UCLA Anderson School of Management, David Geffen School of Medicine [Los Angeles] - UCLA - University of California [Los Angeles] - UC - University of California)

  • Jakina Debnam Guzman

    (Amherst College)

  • Marc Fleurbaey

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Ori Heffetz

    (HUJ - The Hebrew University of Jerusalem, Department of Management and Organizations, Johnson Graduate School of Management, Cornell University - Cornell University [New York])

  • Miles Kimball

    (University of Colorado [Boulder])

Abstract

What utility notion—e.g. flow/lifetime, self/family-centered—do self-reported well-being (SWB) questions measure? Existing applications make different assumptions regarding the (i) life domains, (ii) time horizons, and (iii) other-regarding preferences captured by SWB data. To obtain relevant evidence, we ask survey respondents what they had in mind regarding (i)–(iii) when answering commonly used—life satisfaction, happiness, ladder—and new SWB questions. We find that respondents' self-reports differ from researchers' assumptions and differ across SWB questions and sociodemographic groups. At the same time, simple SWB-question wording tweaks are effective in moving self-reports toward desired interpretations. We outline actionable suggestions for SWB researchers.

Suggested Citation

  • Daniel Benjamin & Jakina Debnam Guzman & Marc Fleurbaey & Ori Heffetz & Miles Kimball, 2023. "What do Happiness Data Mean? Theory and Survey Evidence," PSE-Ecole d'économie de Paris (Postprint) halshs-04331367, HAL.
  • Handle: RePEc:hal:pseptp:halshs-04331367
    DOI: 10.1093/jeea/jvad026
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tobias Börger & Anna Maccagnan & Mathew P. White & Lewis R. Elliott & Tim Taylor, 2023. "Was the trip worth it? Consistency between decision and experienced utility assessments of recreational nature visits," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 525-545, March.
    2. Jeehoon Han & Caspar Kaiser, 2024. "Time use and happiness: US evidence across three decades," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(1), pages 1-25, March.
    3. Fumagalli, Elena & Fumagalli, Laura, 2022. "Subjective well-being and the gender composition of the reference group: Evidence from a survey experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 196-219.
    4. repec:osf:socarx:gzt7a_v1 is not listed on IDEAS
    5. Paul Frijters & Christian Krekel & Raúl Sanchis & Ziggi Ivan Santini, 2024. "Correction: The WELLBY: a new measure of social value and progress," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-1, December.
    6. Elena Bassoli, 2023. "An Empirical Analysis of Health-Dependent Utility on SHARE and ELSA Data," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(3), pages 1217-1261, November.
    7. Alan Piper, 2022. "Optimism, pessimism and life satisfaction: an empirical investigation," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 177-208, June.
    8. Frijters, Paul & Krekel, Christian & Ulker, Aydogan, 2023. "Should bads be inflicted all at once, like Machiavelli said? Evidence from life-satisfaction data," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 1-27.
    9. Bellet, Clément S., 2024. "The McMansion effect: Positional externalities in U.S. suburbs," Journal of Public Economics, Elsevier, vol. 238(C).
    10. Kristen Cooper & Mark Fabian & Christian Krekel, 2023. "New approaches to measuring welfare," Fiscal Studies, John Wiley & Sons, vol. 44(2), pages 123-135, June.
    11. Decerf,Benoit Marie A, 2024. "Multidimensional Well-Being Measurement Practices : A Review Focused on Improving Global Multidimensional Poverty Indicators," Policy Research Working Paper Series 10800, The World Bank.
    12. Burdin, Gabriel & Kambayashi, Ryo & Kato, Takao, 2024. "The Impact of Overtime Limits on Firms and Workers: Evidence from Japan's Work Style Reform," IZA Discussion Papers 17583, Institute of Labor Economics (IZA).
    13. Kaiser, Caspar, 2022. "Using memories to assess the intrapersonal comparability of wellbeing reports," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 410-442.

    More about this item

    JEL classification:

    • D69 - Microeconomics - - Welfare Economics - - - Other
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:pseptp:halshs-04331367. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Caroline Bauer (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.