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Passing the Message: Peer Outreach about COVID-19 Precautions in Zambia

Author

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

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

  • Alfredo Burlando & Pradeep Chintagunta & Jessica Goldberg & Melissa Graboyes & Peter Hangoma & Dean Karlan & Mario Macis & Silvia Prina, 2022. "Passing the Message: Peer Outreach about COVID-19 Precautions in Zambia," NBER Working Papers 30414, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:30414
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    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. 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).
    3. 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.
    4. 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.
    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. Alan T. Sorensen, 2006. "Social learning and health plan choice," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 929-945, December.
    7. 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.
    8. 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.
    9. Alan T. Sorensen, 2006. "Social learning and health plan choice," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 929-945, December.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Pascaline Dupas, 2011. "Health Behavior in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 425-449, September.
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    More about this item

    JEL classification:

    • H0 - Public Economics - - General
    • I0 - Health, Education, and Welfare - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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