IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v117y2020p15546-15553.html
   My bibliography  Save this article

Toward a science of delivering aid with dignity: Experimental evidence and local forecasts from Kenya

Author

Listed:
  • Catherine C. Thomas

    (Department of Psychology, Stanford University, Stanford, CA 94305)

  • Nicholas G. Otis

    (Division of Health Policy and Management, University of California, Berkeley, CA 94720)

  • Justin R. Abraham

    (Department of Economics, University of California, San Diego, CA 92161)

  • Hazel Rose Markus

    (Department of Psychology, Stanford University, Stanford, CA 94305)

  • Gregory M. Walton

    (Department of Psychology, Stanford University, Stanford, CA 94305)

Abstract

How can governments and nonprofits design aid programs that afford dignity and facilitate beneficial outcomes for recipients? We conceptualize dignity as a state that manifests when the stigma associated with receiving aid is countered and recipients are empowered, both in culturally resonant ways. Yet materials from the largest cash transfer programs in Africa predominantly characterize recipients as needy and vulnerable. Three studies examined the causal effects of alternative aid narratives on cash transfer recipients and donors. In study 1, residents of low-income settlements in Nairobi, Kenya ( N = 565) received cash-based aid accompanied by a randomly assigned narrative: the default deficit-focused “Poverty Alleviation” narrative, an “Individual Empowerment” narrative, or a “Community Empowerment” narrative. They then chose whether to spend time building business skills or watching leisure videos. Both empowerment narratives improved self-efficacy and anticipated social mobility, but only the “Community Empowerment” narrative significantly motivated recipients’ choice to build skills and reduced stigma. Given the diverse settings in which aid is delivered, how can organizations quickly identify effective narratives in a context? We asked recipients to predict which narrative would best motivate skill-building in their community. In study 2, this “local forecasting” methodology outperformed participant evaluations and experimental pilots in accurately ranking treatments. Finally, study 3 confirmed that the narrative most effective for recipients did not undermine donors’ willingness to contribute to the program. Together these studies show that responding to recipients’ psychological and sociocultural realities in the design of aid can afford recipients dignity and help realize aid’s potential.

Suggested Citation

  • Catherine C. Thomas & Nicholas G. Otis & Justin R. Abraham & Hazel Rose Markus & Gregory M. Walton, 2020. "Toward a science of delivering aid with dignity: Experimental evidence and local forecasts from Kenya," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(27), pages 15546-15553, June.
  • Handle: RePEc:nas:journl:v:117:y:2020:p:15546-15553
    as

    Download full text from publisher

    File URL: http://www.pnas.org/content/117/27/15546.full
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chadimová, Kateřina & Cahlíková, Jana & Cingl, Lubomír, 2022. "Foretelling what makes people pay: Predicting the results of field experiments on TV fee enforcement," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    2. Oussama Hamal & Nour-Eddine El Faddouli & Moulay Hachem Alaoui Harouni & Joan Lu, 2022. "Artificial Intelligent in Education," Sustainability, MDPI, vol. 14(5), pages 1-11, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nas:journl:v:117:y:2020:p:15546-15553. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.