A behaviorally validated warm glow questionnaire

Jeffrey Carpenter, Alex Lyford and Mingfang Zhang
Additional contact information
Alex Lyford: Middlebury College
Mingfang Zhang: Middlebury College

Journal of the Economic Science Association, 2024, vol. 10, issue 2, No 8, 310-329

Abstract: 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: Experiment; Altruism; Warm glow; Survey validation (search for similar items in EconPapers)
JEL-codes: C91 D64 D91 H41 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40881-024-00161-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jesaex:v:10:y:2024:i:2:d:10.1007_s40881-024-00161-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/40881

DOI: 10.1007/s40881-024-00161-x

Access Statistics for this article

Journal of the Economic Science Association is currently edited by Nikos Nikiforakis and Robert Slonim

More articles in Journal of the Economic Science Association from Springer, Economic Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().