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A Theory of Charitable Fund-Raising with Costly Solicitations

Author

Listed:
  • Alvaro J. Name-Correa
  • Huseyin Yildirim

Abstract

We present a theory of charitable fund-raising in which it is costly to solicit donors. We fully characterize the solicitation strategy that maximizes donations net of fund-raising costs. It is optimal for the fund-raiser to target only the "net contributors" -- donors who would give more than their solicitation costs. We show that as the income inequality increases, so does the level of the public good, despite a (potentially) non-monotonic fund-raising strategy. This implies that costly fund-raising can provide a novel explanation for the non-neutrality of income redistributions and government grants often found in empirical studies.

Suggested Citation

  • Alvaro J. Name-Correa & Huseyin Yildirim, 2013. "A Theory of Charitable Fund-Raising with Costly Solicitations," American Economic Review, American Economic Association, vol. 103(2), pages 1091-1107, April.
  • Handle: RePEc:aea:aecrev:v:103:y:2013:i:2:p:1091-1107
    Note: DOI: 10.1257/aer.103.2.1091
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    File URL: http://www.aeaweb.org/aer/data/april2013/20110665_app.pdf
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    Citations

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    Cited by:

    1. Krasteva, Silvana & Yildirim, Huseyin, 2013. "(Un)Informed charitable giving," Journal of Public Economics, Elsevier, vol. 106(C), pages 14-26.
    2. Paskalev, Zdravko & Yildirim, Huseyin, 2017. "A theory of outsourced fundraising: Why dollars turn into “Pennies for Charity”," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 1-18.
    3. Alvaro J. Name-Correa, 2017. "Learning by fund-raising," Review of Economic Design, Springer;Society for Economic Design, vol. 21(4), pages 291-316, December.
    4. Tajika, Tomoya, 2020. "Contribute once! Full efficiency in a dynamic contribution game," Games and Economic Behavior, Elsevier, vol. 123(C), pages 228-239.
    5. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
    6. Gong, Ning & Grundy, Bruce D., 2014. "The design of charitable fund-raising schemes: Matching grants or seed money," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 147-165.
    7. Yildirim, Huseyin, 2014. "Andreoni–McGuire algorithm and the limits of warm-glow giving," Journal of Public Economics, Elsevier, vol. 114(C), pages 101-107.
    8. Krasteva, Silvana & Yildirim, Huseyin, 2014. "Reprint of: (Un)Informed charitable giving," Journal of Public Economics, Elsevier, vol. 114(C), pages 108-120.
    9. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," Economics working papers 2021-08, Department of Economics, Johannes Kepler University Linz, Austria.
    10. Name Correa, Álvaro, 2014. "Learning by Fund-raising," UC3M Working papers. Economics we1408, Universidad Carlos III de Madrid. Departamento de Economía.
    11. Name-Correa, Alvaro J. & Yildirim, Huseyin, 2016. "“Giving” in to social pressure," Games and Economic Behavior, Elsevier, vol. 99(C), pages 99-116.

    More about this item

    JEL classification:

    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship

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