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Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps

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  • Roland Pongou
  • Roberto Serrano

Abstract

More than half of the HIV/AIDS-infected population today are women. We study a dynamic model of (in)fidelity, which explains the HIV/AIDS gender gap by the configuration of sexual networks. Each individual desires sexual relationships with opposite sex individuals. Two Markov matching processes are defined, each corresponding to a different culture of gender relations. The first process leads to egalitarian pairwise stable networks in the long run, and HIV/AIDS is equally prevalent among men and women. The second process leads to anti-egalitarian pairwise stable networks reflecting male domination, and women bear a greater burden. The results are consistent with empirical observations.

Suggested Citation

  • Roland Pongou & Roberto Serrano, 2013. "Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps," American Economic Review, American Economic Association, vol. 103(3), pages 298-302, May.
  • Handle: RePEc:aea:aecrev:v:103:y:2013:i:3:p:298-302
    Note: DOI: 10.1257/aer.103.3.298
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    References listed on IDEAS

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    1. Roland Pongou & Roberto Serrano, 2009. "A Dynamic Theory of Fidelity Networks with an Application to the Spread of HIV / AIDS," Working Papers wp2009_0909, CEMFI.
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    Cited by:

    1. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2020. "An Economic Model of Health-vs-Wealth Prioritization During COVID-19: Optimal Lockdown, Network Centrality, and Segregation," Working Papers 2009E Classification-E61,, University of Ottawa, Department of Economics.
    2. Yao Yao, 2022. "Fertility and HIV Risk in Africa," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 109-133, July.
    3. Stark, Oded, 2019. "Behavior in reverse: reasons for return migration," Behavioural Public Policy, Cambridge University Press, vol. 3(1), pages 104-126, May.
    4. Paul Cahu & Falilou Fall & Roland Pongou, 2014. "Beauty, Polygyny, and Fertility: Theory and Evidence," Documents de travail du Centre d'Economie de la Sorbonne 14078, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2023. "Optimal interventions in networks during a pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 847-883, April.
    6. Pongou, Roland & Tondji, Jean-Baptiste, 2018. "Valuing inputs under supply uncertainty: The Bayesian Shapley value," Games and Economic Behavior, Elsevier, vol. 108(C), pages 206-224.
    7. Yao, Yao, 2016. "Fertility and HIV risk in Africa," Working Paper Series 19501, Victoria University of Wellington, School of Economics and Finance.
    8. Baland, Jean-Marie & Aldashev, Gani, 2012. "Awareness and AIDS: A Political Economy Perspective," CEPR Discussion Papers 8908, C.E.P.R. Discussion Papers.
    9. Stark, Oded & Zawojska, Ewa, 2015. "Gender differentiation in risk-taking behavior: On the relative risk aversion of single men and single women," Economics Letters, Elsevier, vol. 137(C), pages 83-87.
    10. Ghislain H. Demeze-Jouatsa & Roland Pongou & Jean-Baptiste Tondji, 2021. "A Free and Fair Economy: A Game of Justice and Inclusion," Papers 2107.12870, arXiv.org.
    11. Pongou, Roland & Sidie, Ghislain Junior & Tchuente, Guy & Tondji, Jean-Baptiste, 2022. "Profits, Pandemics, and Lockdown Effectiveness in Nursing Home Networks," GLO Discussion Paper Series 1131, Global Labor Organization (GLO).
    12. Pongou, Roland & Serrano, Roberto, 2013. "Dynamic Network Formation in Two-Sided Economies," MPRA Paper 46021, University Library of Munich, Germany.
    13. Pongou, Roland & Serrano, Roberto, 2016. "Volume of trade and dynamic network formation in two-sided economies," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 147-163.
    14. Pongou, Roland & Tchuente, Guy & Tondji, Jean-Baptiste, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," GLO Discussion Paper Series 957, Global Labor Organization (GLO).
    15. Talamàs, Eduard & Vohra, Rakesh, 2020. "Free and perfectly safe but only partially effective vaccines can harm everyone," Games and Economic Behavior, Elsevier, vol. 122(C), pages 277-289.
    16. Dev, Pritha, 2018. "Networks of information exchange: Are link formation decisions strategic?," Economics Letters, Elsevier, vol. 162(C), pages 86-92.
    17. Diffo Lambo, Lawrence & Pongou, Roland & Tchantcho, Bertrand & Wambo, Pierre, 2015. "Networked politics: political cycles and instability under social influences," MPRA Paper 65641, University Library of Munich, Germany.
    18. Adamopoulou, Effrosyni, 2013. "New facts on infidelity," Economics Letters, Elsevier, vol. 121(3), pages 458-462.
    19. Diffo Lambo, Lawrence & Pongou, Roland & Tchantcho, Bertrand & Wambo, Pierre, 2015. "Networked Politics: Political Cycles and Instability under Social Influences," MPRA Paper 65598, University Library of Munich, Germany.
    20. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2021. "Optimally Targeting Interventions in Networks during a Pandemic: Theory and Evidence from the Networks of Nursing Homes in the United States," Papers 2110.10230, arXiv.org.

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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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