A Behaviorally-Validated Warm Glow Questionnaire

Jeffrey P. Carpenter (), Alex Lyford and Mingfang Zhang
Additional contact information
Jeffrey P. Carpenter: Middlebury College
Alex Lyford: Middlebury College
Mingfang Zhang: Middlebury College

No 16205, IZA Discussion Papers from Institute of Labor Economics (IZA)

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.

Keywords: survey validation; warm glow; altruism; experiment (search for similar items in EconPapers)
JEL-codes: C91 D64 D91 H41 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2023-06
New Economics Papers: this item is included in nep-big, nep-cbe and nep-exp
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Published - published in: Journal of the Economic Sciene Association, 2024, 10, 310–329

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