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Estimating Behavioral Response to the AIDS Epidemic

Author

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  • Auld M. Christopher

    (University of Calgary, auld@ucalgary.ca)

Abstract

The elasticity of risky sexual behavior to changes in local HIV infection prevalence is estimated using a longitudinal survey of the sexual behavior and health of gay men in San Francisco during the 1980s. An average respondent decreases risky behavior by about 5% in response to a 10% increase in disease prevalence. The average response obscures substantial variation across respondents: High-risk people reduce risky behavior less than low-risk people as prevalence increases. This result is consistent with the predictions of theoretical economic epidemiology and has implications for epidemic dynamics.

Suggested Citation

  • Auld M. Christopher, 2006. "Estimating Behavioral Response to the AIDS Epidemic," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-29, April.
    • Handle: RePEc:bpj:bejeap:v:contributions.5:y:2006:i:1:n:12
    DOI: 10.1515/1538-0645.1235
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    Cited by:

    1. Sakai, Yutaro, 2018. "The Vaccination Kuznets Curve: Do vaccination rates rise and fall with income?," Journal of Health Economics, Elsevier, vol. 57(C), pages 195-205.
    2. Jérôme Adda, 2016. "Economic Activity and the Spread of Viral Diseases: Evidence from High Frequency Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 891-941.
    3. Raj Arunachalam & Manisha Shah, 2013. "Compensated for Life: Sex Work and Disease Risk," Journal of Human Resources, University of Wisconsin Press, vol. 48(2), pages 345-369.
    4. Marlène Guillon & Josselin Thuilliez, 2015. "HIV and Rational risky behaviors: a systematic review of published empirical literature (1990-2013)," Post-Print halshs-01222571, HAL.
    5. Erica Chenoweth & Barton H. Hamilton & Hedwig Lee & Nicholas W. Papageorge & Stephen P. Roll & Matthew V. Zahn, 2022. "Who Protests, What Do They Protest, and Why?," NBER Working Papers 29987, National Bureau of Economic Research, Inc.
    6. Heinsalu, Sander, 2021. "Promotion of (interaction) abstinence increases infection prevalence," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 94-112.
    7. Jeremy Greenwood & Philipp Kircher & Cezar Santos & Michèle Tertilt, 2019. "An Equilibrium Model of the African HIV/AIDS Epidemic," Econometrica, Econometric Society, vol. 87(4), pages 1081-1113, July.
    8. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    9. Mannberg, Andréa, 2012. "Risk and rationalization—The role of affect and cognitive dissonance for sexual risk taking," European Economic Review, Elsevier, vol. 56(6), pages 1325-1337.
    10. Sarkar, Jayanta, 2022. "Do disease prevalence and severity drive COVID-19 vaccine demand?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 310-319.
    11. Hani Mansour & Daniel I. Rees & James Reeves, 2020. "Voting and Political Participation in the Aftermath of the HIV/AIDS Epidemic," CESifo Working Paper Series 8433, CESifo.
    12. repec:hal:wpaper:halshs-01222571 is not listed on IDEAS
    13. Telalagic, S., 2012. "Optimal Treatment of an SIS Disease with Two Strains," Cambridge Working Papers in Economics 1229, Faculty of Economics, University of Cambridge.
    14. Toxvaerd, Flavio, 2010. "Recurrent Infection and Externalities in Prevention," CEPR Discussion Papers 8112, C.E.P.R. Discussion Papers.
    15. Maloney,William F. & Taskin,Temel, 2020. "Determinants of Social Distancing and Economic Activity during COVID-19 : A Global View," Policy Research Working Paper Series 9242, The World Bank.

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