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Peer Effects on Vaccination: Experimental Evidence from Rural Nigeria

Author

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  • RyokoSato

    (Global Asia Institute, National University of Singapore)

  • Yoshito Takasaki

    (Faculty of Economics, The University of Tokyo)

Abstract

Understanding how and why social interactions matter for people's vaccination behavior is important for disease control. This paper conducts the first causal analysis of peer effects on vaccination in developing countries. We created exogenous variations in peers' vaccination behaviors by randomizing cash incentives for tetanus vaccine take-up among Nigerian women. Vaccine take-up among friends strongly increased women's take-up; having a friend getting vaccinated increases the likelihood that one receives a vaccination by 18.9 percentage points. The peer effects among friends are heterogeneous by one's belief about vaccine safety and access to health clinics in a way that is consistent with whether or not a woman visits a clinic with her friend. This provides evidence for collective action as a mechanism underlying the positive peer effect.

Suggested Citation

  • RyokoSato & Yoshito Takasaki, 2016. "Peer Effects on Vaccination: Experimental Evidence from Rural Nigeria," CIRJE F-Series CIRJE-F-1002, CIRJE, Faculty of Economics, University of Tokyo.
  • Handle: RePEc:tky:fseres:2016cf1002
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    File URL: http://www.cirje.e.u-tokyo.ac.jp/research/dp/2016/2016cf1002.pdf
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    References listed on IDEAS

    as
    1. Elizabeth Bodine-Baron & Sarah Nowak & Raffaello Varadavas & Neeraj Sood, 2013. "Conforming and Non-conforming Peer Effects in Vaccination Decisions," NBER Working Papers 19528, National Bureau of Economic Research, Inc.
    2. Sarah Baird & Aislinn Bohren & Berk Ozler & Craig McIntosh, 2014. "Designing Experiments to Measure Spillover Effects," Working Papers 2014-11, The George Washington University, Institute for International Economic Policy.
    3. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
    4. Godlonton, Susan & Thornton, Rebecca, 2012. "Peer effects in learning HIV results," Journal of Development Economics, Elsevier, vol. 97(1), pages 118-129.
    5. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    6. Anne Pebley & Noreen Goldman & Germán Rodríguez, 1996. "Prenatal and delivery care and childhood immunization in guatemala: Do family and community matter?," Demography, Springer;Population Association of America (PAA), vol. 33(2), pages 231-247, May.
    7. Annemie Maertens, 2017. "Who Cares What Others Think (or Do)? Social Learning and Social Pressures in Cotton Farming in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 988-1007.
    8. Gauri, Varun & Khaleghian, Peyvand, 2002. "Immunization in Developing Countries: Its Political and Organizational Determinants," World Development, Elsevier, vol. 30(12), pages 2109-2132, December.
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    Cited by:

    1. Yoko Ibuka & Jun-ichi Itaya & Naomi Miyazato, 2018. "An Analysis of Peer Effects on Vaccination Behavior Using a Model of Privately Provided Public Goods," CESifo Working Paper Series 6933, CESifo.
    2. repec:hok:dpaper:321 is not listed on IDEAS

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