Replication with MTurk of the experimental design by Gangadharan, Grossman, Jones & Leister (2018): Charitable giving across donor types

Luca Gandullia (), Emanuela Lezzi and Paolo Parciasepe

Journal of Economic Psychology, 2020, vol. 78, issue C

Abstract: Understanding the motivations behind charitable giving and the identification of donor types have aroused growing interest among researchers. The economic literature has highlighted the model of pure altruist and subsequently the more realistic model of impure altruist or warm-glow giver. The need to distinguish and empirically identify these types of donors has given rise to some economic experiments. This paper - using the platform by Amazon's Mechanical Turk with a large sample of participants (N = 1062) - shows the findings of a near replication of the experimental design by Gangadharan et al. (2018). Results are consistent with the original study and confirm the validity of the procedure and the ability to replicate a critical feature of the original design.

Keywords: Charitable giving; Donor types; Experiments; Replication; Warm-glow (search for similar items in EconPapers)
JEL-codes: C90 H40 H41 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joepsy:v:78:y:2020:i:c:s0167487020300258

DOI: 10.1016/j.joep.2020.102268

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