IDEAS home Printed from https://ideas.repec.org/a/eee/deveco/v171y2024ics0304387824000671.html
   My bibliography  Save this article

Passing the message: Peer outreach about COVID-19 precautions in Zambia

Author

Listed:
  • Burlando, Alfredo
  • Chintagunta, Pradeep
  • Goldberg, Jessica
  • Graboyes, Melissa
  • Hangoma, Peter
  • Karlan, Dean
  • Macis, Mario
  • Prina, Silvia

Abstract

During public health emergencies, spreading accurate information and increasing adherence to recommended behaviors is critical for communal welfare. However, uncertainty, mistrust, and misinformation can slow the adoption of best practices. Preexisting social networks can amplify and endorse information from authorities, and technology makes peer-to-peer messaging scalable and fast. Using text messages and small cash incentives, we test a peer-based information campaign to encourage adherence to recommended COVID-19-related health behaviors in Zambia. None of the treatments affected health behavior among primary study participants or their peers. The suggestion to pass messages to peers increases dissemination, but financial incentives do not have any additional impact.

Suggested Citation

  • Burlando, Alfredo & Chintagunta, Pradeep & Goldberg, Jessica & Graboyes, Melissa & Hangoma, Peter & Karlan, Dean & Macis, Mario & Prina, Silvia, 2024. "Passing the message: Peer outreach about COVID-19 precautions in Zambia," Journal of Development Economics, Elsevier, vol. 171(C).
  • Handle: RePEc:eee:deveco:v:171:y:2024:i:c:s0304387824000671
    DOI: 10.1016/j.jdeveco.2024.103318
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304387824000671
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jdeveco.2024.103318?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lori Beaman & Jeremy Magruder, 2012. "Who Gets the Job Referral? Evidence from a Social Networks Experiment," American Economic Review, American Economic Association, vol. 102(7), pages 3574-3593, December.
    2. Alan T. Sorensen, 2006. "Social learning and health plan choice," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 929-945, December.
    3. Balat, Jorge & Papageorge, Nicholas W. & Qayyum, Shaiza, 2017. "Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment," IZA Discussion Papers 10919, Institute of Labor Economics (IZA).
    4. Zacharias Maniadis & Fabio Tufano & John A. List, 2017. "To Replicate or Not To Replicate? Exploring Reproducibility in Economics through the Lens of a Model and a Pilot Study," Economic Journal, Royal Economic Society, vol. 127(605), pages 209-235, October.
    5. Susan Athey & Kristen Grabarz & Michael Luca & Nils Wernerfelt, 2023. "Digital public health interventions at scale: The impact of social media advertising on beliefs and outcomes related to COVID vaccines," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(5), pages 2208110120-, January.
    6. Abhijit Banerjee & Arun G Chandrasekhar & Esther Duflo & Matthew O Jackson, 2019. "Using Gossips to Spread Information: Theory and Evidence from Two Randomized Controlled Trials," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(6), pages 2453-2490.
    7. Pascaline Dupas, 2011. "Health Behavior in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 425-449, September.
    8. Jessica Goldberg & Mario Macis & Pradeep Chintagunta, 2023. "Incentivized Peer Referrals for Tuberculosis Screening: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 259-291, January.
    9. Emily Oster & Rebecca Thornton, 2012. "Determinants Of Technology Adoption: Peer Effects In Menstrual Cup Take-Up," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1263-1293, December.
    10. Alan T. Sorensen, 2006. "Social learning and health plan choice," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 929-945, December.
    11. Pope, Devin G., 2009. "Reacting to rankings: Evidence from "America's Best Hospitals"," Journal of Health Economics, Elsevier, vol. 28(6), pages 1154-1165, December.
    12. Abu Siddique & Tabassum Rahman & Debayan Pakrashi & Asad Islam & Firoz Ahmed, 2020. "Raising COVID-19 Awareness in Rural Communities: A Randomized Experiment in Bangladesh and India," Munich Papers in Political Economy 09, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    13. Abhijit Banerjee & Arun G. Chandrasekhar & Suresh Dalpath & Esther Duflo & John Floretta & Matthew O. Jackson & Harini Kannan & Francine N. Loza & Anirudh Sankar & Anna Schrimpf & Maheshwor Shrestha, 2021. "Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization," NBER Working Papers 28726, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Goldberg, Jessica & Macis, Mario & Chintagunta, Pradeep, 2018. "Leveraging Patients' Social Networks to Overcome Tuberculosis Underdetection: A Field Experiment in India," IZA Discussion Papers 11942, Institute of Labor Economics (IZA).
    2. Jessica Goldberg & Mario Macis & Pradeep Chintagunta, 2023. "Incentivized Peer Referrals for Tuberculosis Screening: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 259-291, January.
    3. Engström, Per & Forsell, Eskil, 2018. "Demand effects of consumers’ stated and revealed preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 43-61.
    4. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    5. Amedeo Piolatto, 2015. "Online booking and information: competition and welfare consequences of review aggregators," Working Papers 2015/11, Institut d'Economia de Barcelona (IEB).
    6. Mylène Lagarde & Carlos Riumallo Herl, 2023. "Stronger together: Group incentives and the demand for prevention," Tinbergen Institute Discussion Papers 23-0010/V, Tinbergen Institute.
    7. Xu, Yilan & Box-Couillard, Sebastien, 2022. "Social learning about climate change risk," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322309, Agricultural and Applied Economics Association.
    8. S Anukriti & Catalina Herrera‐Almanza & Praveen K. Pathak & Mahesh Karra, 2020. "Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1328-1351, October.
    9. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    10. Raphaël Soubeyran, 2019. "Technology adoption and pro-social preferences," CEE-M Working Papers halshs-02291905, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    11. Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
    12. Muzhe Yang & Hsien-Ming Lien & Shin-Yi Chou, 2014. "Is There A Physician Peer Effect? Evidence From New Drug Prescriptions," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 116-137, January.
    13. Manuela Angelucci & Silvia Prina & Heather Royer & Anya Samek, 2015. "When Incentives Backfire: Spillover Effects in Food Choice," NBER Working Papers 21481, National Bureau of Economic Research, Inc.
    14. Karen Ruckman & Nilesh Saraf & Vallabh Sambamurthy, 2015. "Market Positioning by IT Service Vendors Through Imitation," Information Systems Research, INFORMS, vol. 26(1), pages 100-126, March.
    15. Cátia Batista & Marcel Fafchamps & Pedro C Vicente, 2022. "Keep It Simple: A Field Experiment on Information Sharing among Strangers [Changing Saving and Investment Behavior: The Impact of Financial Literacy Training and Reminders on Micro-Businesses]," The World Bank Economic Review, World Bank, vol. 36(4), pages 857-888.
    16. Jacopo Bonan & Stefano Pareglio & Massimo Tavoni, 2014. "Access to Modern Energy: a Review of Impact Evaluations," Working Papers 2014.96, Fondazione Eni Enrico Mattei.
    17. Malani, Anup & Kinnan, Cynthia & Conti, Gabriella & Imai, Kosuke & Miller, Morgen & Swaminathan, Shailender & Voena, Alessandra & Woda, Bartek, 2024. "Evaluating and pricing health insurance in lower-income countries: A field experiment in India," CEPR Discussion Papers 19326, C.E.P.R. Discussion Papers.
    18. Guido Friebel & Matthias Heinz & Mitchell Hoffman & Nick Zubanov, 2023. "What Do Employee Referral Programs Do? Measuring the Direct and Overall Effects of a Management Practice," Journal of Political Economy, University of Chicago Press, vol. 131(3), pages 633-686.
    19. Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
    20. Branko Boskovic, David P.Byrne, Arvind Magesan, 2012. "Herding Among Bureaucrats," Department of Economics - Working Papers Series 1158, The University of Melbourne.

    More about this item

    Keywords

    COVID-19; Social networks; SMS; Incentives; Zambia; Health;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • I1 - Health, Education, and Welfare - - Health

    Statistics

    Access and download statistics

    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:eee:deveco:v:171:y:2024:i:c:s0304387824000671. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/devec .

    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.