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

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  • Gandullia, Luca
  • Lezzi, Emanuela
  • Parciasepe, Paolo

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.

Suggested Citation

  • Gandullia, Luca & Lezzi, Emanuela & Parciasepe, Paolo, 2020. "Replication with MTurk of the experimental design by Gangadharan, Grossman, Jones & Leister (2018): Charitable giving across donor types," Journal of Economic Psychology, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:joepsy:v:78:y:2020:i:c:s0167487020300258
    DOI: 10.1016/j.joep.2020.102268
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    Cited by:

    1. Feine, Gregor & Groh, Elke D. & von Loessl, Victor & Wetzel, Heike, 2023. "The double dividend of social information in charitable giving: Evidence from a framed field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    2. Ben Grodeck & Philipp Schoenegger, 2022. "Demanding the Morally Demanding: Experimental Evidence on the Effects of Moral Arguments and Moral Demandingness on Charitable Giving," Monash Economics Working Papers 2022-03, Monash University, Department of Economics.
    3. Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
    4. Andersson, Henrik & Ouvrard, Benjamin, 2023. "Priming and the Value of a Statistical Life: A Cross Country Comparison," TSE Working Papers 23-1439, Toulouse School of Economics (TSE).
    5. Gangadharan, Lata & Grossman, Philip J. & Xue, Nina, 2023. "Using willingness to pay to measure the strength of altruistic motives," Economics Letters, Elsevier, vol. 226(C).
    6. Brañas-Garza, Pablo & Bucheli, Marisa & Espinosa, María Paz, 2020. "Altruism and information," Journal of Economic Psychology, Elsevier, vol. 81(C).
    7. Grodeck, Ben & Schoenegger, Philipp, 2023. "Demanding the morally demanding: Experimental evidence on the effects of moral arguments and moral demandingness on charitable giving," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    8. Lata Gangadharan & Philip J. Grossman & Nina Xue, 2022. "Stepping Stone: Identifying self-image concerns from motivated beliefs: Does it matter how and whom you ask?," Monash Economics Working Papers 2022-05, Monash University, Department of Economics.
    9. Lata Gangadharan & Philip J. Grossman & Nina Xue, 2021. "Identifying self-image concerns from motivated beliefs: Does it matter how and whom you ask?," Monash Economics Working Papers 2021-17, Monash University, Department of Economics.

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    More about this item

    Keywords

    Charitable giving; Donor types; Experiments; Replication; Warm-glow;
    All these keywords.

    JEL classification:

    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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