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A behaviorally validated warm glow questionnaire

Author

Listed:
  • Jeffrey Carpenter

    (Middlebury College)

  • Alex Lyford

    (Middlebury College)

  • Mingfang Zhang

    (Middlebury College)

Abstract

Measuring the social preferences of economic agents using experiments has become common place. This process, while incentive compatible, is costly and time consuming, making it infeasible in many settings. We combine standard altruism and warm glow choice experiments with a battery of candidate survey questions to construct behaviorally validated questionnaires. We use machine learning to create parsimonious 3-question modules that reliably replicate existing results on general altruism and provide an alternative method for collecting warm glow preferences.

Suggested Citation

  • Jeffrey Carpenter & Alex Lyford & Mingfang Zhang, 2024. "A behaviorally validated warm glow questionnaire," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 10(2), pages 310-329, December.
    • Handle: RePEc:spr:jesaex:v:10:y:2024:i:2:d:10.1007_s40881-024-00161-x
    DOI: 10.1007/s40881-024-00161-x
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    References listed on IDEAS

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    More about this item

    Keywords

    Experiment; Altruism; Warm glow; Survey validation;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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