Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/278903 
Year of Publication: 
2023
Series/Report no.: 
IZA Discussion Papers No. 16205
Publisher: 
Institute of Labor Economics (IZA), Bonn
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.
Subjects: 
experiment
altruism
warm glow
survey validation
JEL: 
C91
D64
D91
H41
Document Type: 
Working Paper

Files in This Item:
File
Size
598.97 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.