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Social networks and vaccination decisions

Author

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  • Markus M. Mobius
  • Neel Rao
  • Tanya Rosenblat

Abstract

We combine information on social networks with medical records and survey data in order to examine how friends affect one's decision to get vaccinated against the flu. The random assignment of undergraduates to residential halls at a large private university allows us to estimate how peer effects influence health beliefs and vaccination choices. Our results indicate that social exposure to medical information raises people's perceptions of the benefits of immunization. The average student's belief about the vaccine's health value increases by $5.00 when an additional 10 percent of her friends are assigned to residences that host inoculation clinics. Among students with no recent flu experience, a 10 percent rise in the number of friends living in residences with clinics raises cumulative valuations of the vaccine by $10.92, with 85 percent of this increase attributable to heightened perceptions about the medical benefits of immunization. We also find evidence of positive peer effects on individuals? vaccination decisions. A student becomes up to 8.3 percentage points more likely to get immunized if an additional 10 percent of her friends receive flu shots. Furthermore, the excess clustering of friends at inoculation clinics suggests that students coordinate their vaccination decisions with their friends.

Suggested Citation

  • Markus M. Mobius & Neel Rao & Tanya Rosenblat, 2007. "Social networks and vaccination decisions," Working Papers 07-12, Federal Reserve Bank of Boston.
  • Handle: RePEc:fip:fedbwp:07-12
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    Cited by:

    1. Chevalier, Judith A. & Schwartz, Jason L. & Su, Yihua & Williams, Kevin R., 2022. "JUE Insight: Distributional Impacts of Retail Vaccine Availability," Journal of Urban Economics, Elsevier, vol. 127(C).
    2. de Janvry, Alain & Sadoulet, Elisabeth & Villas-Boas, Sofia, 2010. "Short on shots: Are calls for cooperative restraint effective in managing a flu vaccines shortage?," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 209-224, November.
    3. Stephen Leider & Markus M. Möbius & Tanya Rosenblat & Quoc-Anh Do, 2010. "What Do We Expect from Our Friends?," Journal of the European Economic Association, MIT Press, vol. 8(1), pages 120-138, March.
    4. Bennett, Daniel & Chiang, Chun-Fang & Malani, Anup, 2015. "Learning during a crisis: The SARS epidemic in Taiwan," Journal of Development Economics, Elsevier, vol. 112(C), pages 1-18.
    5. Sorensen, Andrea Lockhart, 2015. "Asymmetry, uncertainty, and limits in a binary choice experiment with positive spillovers," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 43-55.
    6. Ni, Lei & Chen, Yu-wang & de Brujin, Oscar, 2021. "Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis," European Journal of Operational Research, Elsevier, vol. 293(1), pages 276-289.
    7. Godlonton, Susan & Thornton, Rebecca, 2012. "Peer effects in learning HIV results," Journal of Development Economics, Elsevier, vol. 97(1), pages 118-129.
    8. Indrani Saran & Günther Fink & Margaret McConnell, 2018. "How does anonymous online peer communication affect prevention behavior? Evidence from a laboratory experiment," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.
    9. repec:hal:spmain:info:hdl:2441/5qi1l9g8bm8p1as7q6imhg03ej is not listed on IDEAS
    10. Yan Leng & Xiaowen Dong & Esteban Moro & Alex Pentland, 2024. "Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions," Information Systems Research, INFORMS, vol. 35(1), pages 318-338, March.
    11. Neilson, William & Xiao, Yancheng, 2018. "Equilibrium vaccination patterns in incomplete and heterogeneous networks," European Economic Review, Elsevier, vol. 105(C), pages 174-192.

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    Keywords

    Stochastic analysis; Human behavior; Altruism; Medical care;
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