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Quality certifications for nonprofits, charitable giving, and donor's trust: experimental evidence

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  • Adena, Maja
  • Alizade, Jeyhun
  • Bohner, Frauke
  • Harke, Julian
  • Mesters, Fabio

Abstract

In an experiment, we test the impact of quality certificates on donations to a charity. Compared to the control group, participants presented with a quality certificate chose higher donations by around 10% and reported higher trust towards the same charity. The choice of donation values over time shows strong persistence such that the difference between the two groups remained even after all participants were informed about the certificate. Since the initially uninformed donors did not adjust their donations sufficiently upwards, we conclude that quality certification is less likely to affect giving of existing donors. Finally, we find no significant effect of information about certificate fees.

Suggested Citation

  • Adena, Maja & Alizade, Jeyhun & Bohner, Frauke & Harke, Julian & Mesters, Fabio, 2018. "Quality certifications for nonprofits, charitable giving, and donor's trust: experimental evidence," Discussion Papers, Research Unit: Economics of Change SP II 2017-302r, WZB Berlin Social Science Center, revised 2018.
    • Handle: RePEc:zbw:wzbeoc:spii2017302r
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    Cited by:

    1. Diederich, Johannes & Epperson, Raphael & Goeschl, Timo, 2021. "How to Design the Ask? Funding Units vs. Giving Money," Working Papers 0698, University of Heidelberg, Department of Economics.
    2. Adena, Maja & Huck, Steffen, 2019. "Giving once, giving twice: A two-period field experiment on intertemporal crowding in charitable giving," Journal of Public Economics, Elsevier, vol. 172(C), pages 127-134.
    3. Na-Eun Cho & Yue Maggie Zhou, 2021. "Profits, Reputation, and the Risk of Medical Malpractice Liability," Strategy Science, INFORMS, vol. 6(3), pages 228-243, September.
    4. Adena, Maja & Hager, Anselm, 2020. "Does online fundraising increase charitable giving? A nation-wide field experiment on Facebook," Discussion Papers, Research Unit: Economics of Change SP II 2020-302, WZB Berlin Social Science Center.
    5. 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).
    6. Nadine Chlaß & Lata Gangadharan & Kristy Jones, 2023. "Charitable giving and intermediation: a principal agent problem with hidden prices," Oxford Economic Papers, Oxford University Press, vol. 75(4), pages 941-961.
    7. Chandrayee Chatterjee & James C. Cox & Michael K. Price & Florian Rundhammer, 2020. "Robbing Peter to Pay Paul: Understanding How State Tax Credits Impact Charitable Giving," NBER Working Papers 27163, National Bureau of Economic Research, Inc.
    8. Johannes Diederich & Catherine C. Eckel & Raphael Epperson & Timo Goeschl & Philip J. Grossman, 2022. "Subsidizing unit donations: matches, rebates, and discounts compared," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 734-758, April.
    9. Baudier, Patricia & Kondrateva, Galina & Ammi, Chantal, 2023. "Can blockchain enhance motivation to donate: The moderating impact of religion on donors' behavior in the USA's charity organizations," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    10. Chandrayee Chatterjee & James C. Cox & Michael K. Price & Florian Rundhammer, 2020. "Competition Among Charities: Field Experimental Evidence from a State Income Tax Credit for Charitable Giving," Experimental Economics Center Working Paper Series 2020-01, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.

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    More about this item

    Keywords

    non-profit certification; charitable giving; experiment; trust;
    All these keywords.

    JEL classification:

    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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