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Learning from Others' HIV Testing: Updating Beliefs and Responding to Risk

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  • Susan Godlonton
  • Rebecca L. Thornton

Abstract

An individual who takes an HIV test can be informed about their own status and risk. Similarly, when friends, family or neighbors learn of a person's HIV status, they may update their beliefs about HIV infection among people they know. Using an experiment conducted in rural Malawi which randomly assigned incentives to learn HIV results, we find that as people in the community learn their HIV results, individuals revise their beliefs downward about deaths attributable to HIV/AIDS. We find corresponding behavioral responses with a significant decrease in condom use and no significant increase in multiple partnerships among those who are HIV-negative.

Suggested Citation

  • Susan Godlonton & Rebecca L. Thornton, 2013. "Learning from Others' HIV Testing: Updating Beliefs and Responding to Risk," American Economic Review, American Economic Association, vol. 103(3), pages 439-444, May.
    • Handle: RePEc:aea:aecrev:v:103:y:2013:i:3:p:439-44
    Note: DOI: 10.1257/aer.103.3.439
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    References listed on IDEAS

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    1. Emily Oster & Ira Shoulson & E. Ray Dorsey, 2013. "Optimal Expectations and Limited Medical Testing: Evidence from Huntington Disease," American Economic Review, American Economic Association, vol. 103(2), pages 804-830, April.
    2. Philip Anglewicz & Hans-Peter Kohler, 2009. "Overestimating HIV infection:," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(6), pages 65-96.
    3. Emily Oster, 2012. "Routes Of Infection: Exports And Hiv Incidence In Sub-Saharan Africa," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1025-1058, October.
    4. Áureo De Paula & Gil Shapira & Petra E. Todd, 2014. "How Beliefs About Hiv Status Affect Risky Behaviors: Evidence From Malawi," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 944-964, September.
    5. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    6. Godlonton, Susan & Thornton, Rebecca, 2012. "Peer effects in learning HIV results," Journal of Development Economics, Elsevier, vol. 97(1), pages 118-129.
    7. Lange, Fabian, 2011. "The role of education in complex health decisions: Evidence from cancer screening," Journal of Health Economics, Elsevier, vol. 30(1), pages 43-54, January.
    8. Okeke, Edward N. & Adepiti, Clement A. & Ajenifuja, Kayode O., 2013. "What is the price of prevention? New evidence from a field experiment," Journal of Health Economics, Elsevier, vol. 32(1), pages 207-218.
    9. Michael A. Boozer & Tomas J. Philipson, 2000. "The Impact of Public Testing for Human Immunodeficiency Virus," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 419-446.
    10. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
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    17. Banerjee,Abhijit & La Ferrara,Eliana & Orozco Olvera,Victor Hugo, 2019. "The Entertaining Way to Behavioral Change : Fighting HIV with MTV," Policy Research Working Paper Series 8998, The World Bank.
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    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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