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Corrigendum to “Religious proximity and misinformation: Experimental evidence from a mobile phone-based campaign in India” [Journal of Health Economics Volume 96, June 2024, 102883]

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  • Armand, Alex
  • Augsburg, Britta
  • Bancalari, Antonella
  • Kameshwara, Kalyan Kumar

Abstract

We investigate how religion concordance influences the effectiveness of preventive health campaigns. Conducted during the early stages of the COVID-19 pandemic in two major Indian cities marked by Hindu–Muslim tensions, we randomly assigned a representative sample of slum residents to receive either a physician-delivered information campaign promoting health-related preventive practices, or uninformative control messages on their mobile phones. Messages, introduced by a local citizen (the sender), were cross-randomized to start with a greeting signaling either a Hindu or a Muslim identity, manipulating religion concordance between sender and receiver. We found that doctor messages increased compliance with recommended practices and beliefs in their efficacy. Our findings suggest that the campaign’s impact is primarily driven by shared religion between sender and receiver, leading to increased message engagement and compliance with recommended practices. Additionally, we observe that religion concordance helps protect against misinformation.
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Suggested Citation

  • Armand, Alex & Augsburg, Britta & Bancalari, Antonella & Kameshwara, Kalyan Kumar, 2026. "Corrigendum to “Religious proximity and misinformation: Experimental evidence from a mobile phone-based campaign in India” [Journal of Health Economics Volume 96, June 2024, 102883]," Journal of Health Economics, Elsevier, vol. 106(C).
    • Handle: RePEc:eee:jhecon:v:106:y:2026:i:c:s0167629626000159
    DOI: 10.1016/j.jhealeco.2026.103117
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    Cited by:

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    2. Martin Abel & Tanya Byker & Jeffrey Carpenter, 2025. "The Effect of Information From Black Health Care Professionals on COVID Vaccination Take‐Up," Health Economics, John Wiley & Sons, Ltd., vol. 34(11), pages 2072-2096, November.

    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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