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Health, Risky Behaviour and the Value of Medical Innovation for Infectious Disease

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  • Tat Y. Chan
  • Barton H. Hamilton
  • Nicholas W. Papageorge

Abstract

We propose a dynamic framework to study the value of medical innovation in the context of infectious disease. We apply our framework to evaluate an HIV treatment breakthrough known as HAART. The model captures how, in lowering both the expected cost and likelihood of HIV infection, HAART reduced the implicit price of risky sex. Forward-looking agents responded by optimally shifting their behaviour. The model also imposes equilibrium constraints, explicitly capturing how optimal shifts in behaviour affect equilibrium choices by changing both infection probabilities and the ease of finding partners willing to engage in risky sex. Using the estimated model, we conduct counterfactual simulations to compute the value of HAART from the perspective of uninfected agents. This includes the option value of the innovation along with value accruing from changes in sex behaviour in response to HAART introduction. We also calculate the added value of a fully functional vaccine from the perspective of both infected and uninfected agents, where infected agents benefit from a vaccine due to resulting shifts in market equilibrium.

Suggested Citation

  • Tat Y. Chan & Barton H. Hamilton & Nicholas W. Papageorge, 2016. "Health, Risky Behaviour and the Value of Medical Innovation for Infectious Disease," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1465-1510.
  • Handle: RePEc:oup:restud:v:83:y:2016:i:4:p:1465-1510.
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    File URL: http://hdl.handle.net/10.1093/restud/rdv053
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    Cited by:

    1. Seth M. Freedman & Daniel W. Sacks & Kosali I. Simon & Coady Wing, 2022. "Direct and indirect effects of vaccines: Evidence from COVID-19," NBER Working Papers 30550, National Bureau of Economic Research, Inc.
    2. Victor Aguirregabiria & Jiaying Gu & Yao Luo & Pedro Mira, 2020. "A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report," Working Papers wp2020_2014, CEMFI.
    3. Brotherhood, Luiz & Jerbashian, Vahagn, 2023. "Firm behavior during an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    4. Timo Boppart & Karl Harmenberg & John Hassler & Per Krusell & Jonna Olsson, 2020. "Integrated epi-econ assessment," Edinburgh School of Economics Discussion Paper Series 297, Edinburgh School of Economics, University of Edinburgh.
    5. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    6. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza‐Rodrigues, 2021. "Identification of counterfactuals in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 12(2), pages 351-403, May.
    7. Bradley, Jake & Ruggieri, Alessandro & Spencer, Adam Hal, 2021. "Twin Peaks: Covid-19 and the labor market," European Economic Review, Elsevier, vol. 138(C).
    8. Nicholas W. Papageorge, 2021. "Modeling Behavior during a Pandemic: Using HIV as an Historical Analogy," NBER Working Papers 28898, National Bureau of Economic Research, Inc.
    9. David McAdams, 2020. "Nash SIR: An Economic-Epidemiological Model of Strategic Behavior During a Viral Epidemic," Papers 2006.10109, arXiv.org.
    10. Nicholas W. Papageorge & Gwyn C. Pauley & Mardge Cohen & Tracey E. Wilson & Barton H. Hamilton & Robert A. Pollak, 2021. "Health, Human Capital, and Domestic Violence," Journal of Human Resources, University of Wisconsin Press, vol. 56(4), pages 997-1030.
    11. Barton H. Hamilton & Andrés Hincapié & Robert A. Miller & Nicholas W. Papageorge, 2021. "Innovation And Diffusion Of Medical Treatment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 953-1009, August.
    12. Brotherhood, Luiz & Cavalcanti, Tiago & Da Mata, Daniel & Santos, Cezar, 2022. "Slums and pandemics," Journal of Development Economics, Elsevier, vol. 157(C).
    13. Sabia, Joseph J. & Wooden, Mark & Nguyen, Thanh Tam, 2018. "Sexual identity, same-same relationships, and health dynamics: New evidence from Australia," Economics & Human Biology, Elsevier, vol. 30(C), pages 24-36.
    14. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    15. Kusum Ailawadi & Tat Chan & Puneet Manchanda & K. Sudhir, 2020. "Introduction to the Special Issue on Marketing Science and Health," Marketing Science, INFORMS, vol. 39(3), pages 459-464, May.
    16. Barton Hamilton & Andrés Hincapié & Emma C. Kalish & Nicholas W. Papageorge, 2021. "Medical Innovation and Health Disparities," NBER Working Papers 28864, National Bureau of Economic Research, Inc.
    17. Liang, Jian & Alexeev, Sergey, 2023. "Harm reduction or amplification? The adverse impact of a supervised injection room on housing prices," Regional Science and Urban Economics, Elsevier, vol. 98(C).

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