IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/33847.html
   My bibliography  Save this paper

Measuring Self-Reported Well-Being

Author

Listed:
  • Ori Heffetz
  • Yehonatan Caspi

Abstract

What should researchers consider when designing experiments that (also) collect self-reported well-being (SWB) data? Focusing on experiments in economics, we examine the motivation behind SWB-data collection, survey leading past examples, and highlight potential pitfalls and their proposed countermeasures. We offer three main messages and a call to action. First, SWB measures should be handled with caution, especially in experiments. Second, despite their limitations, SWB measures can be used cleverly in the lab to provide evidence on questions that choice data alone cannot answer. Third, when collected, analyzed, and interpreted with appropriate caution, SWB measures can be important policy-evaluation outcomes, complementing the inherently incomplete picture provided by more traditional outcomes. We call on researchers to carefully and thoughtfully collect (a variety of) SWB measures in their online, lab, and field experiments. Such a joint, decentralized effort would also mean that over time, SWB data get explored, accumulated, and, hopefully, better understood.

Suggested Citation

  • Ori Heffetz & Yehonatan Caspi, 2025. "Measuring Self-Reported Well-Being," NBER Working Papers 33847, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:33847
    Note: AG DEV EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w33847.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:33847. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.