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 ex- perimental 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

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

Luca Gandullia⁎;Emanuela Lezzi;Paolo Parciasepe
2020-01-01

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 ex- perimental 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
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1007981
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