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Treatment decisions under ambiguity

Author

Listed:
  • BERGER, Loïc
  • BLEICHRODT, Han
  • EECKHOUDT, Louis

Abstract

Many health risks are ambiguous in the sense that reliable and credible information about these risks is unavailable. In health economics, ambiguity is usually handled through sensitivity analysis, which implicitly assumes that people are neutral towards ambiguity. However, empirical evidence suggests that people are averse to ambiguity and react strongly to it. This paper studies the effects of ambiguity aversion on two classical medical decision problems. If there is ambiguity regarding the diagnosis of a patient, ambiguity aversion increases the decision maker's propensity to opt for treatment. On the other hand, in the case of ambiguity regarding the effects of treatment, ambiguity aversion leads to a reduction in the propensity to choose treatment.
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Suggested Citation

  • BERGER, Loïc & BLEICHRODT, Han & EECKHOUDT, Louis, 2013. "Treatment decisions under ambiguity," CORE Discussion Papers RP 2494, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:2494
    Note: In : Journal of Health Economics, 32(3), 559-569, 2013
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Thomas Garcia & Sébastien Massoni, 2017. "Aiming to choose correctly or to choose wisely? The optimality-accuracy trade-off in decisions under uncertainty," Working Papers halshs-01631540, HAL.
    2. Simon Quemin, 2016. "Intertemporal abatement decisions under ambiguity aversion in a cap and trade," Working Papers 1604, Chaire Economie du climat.
    3. Christophe Courbage & Béatrice Rey, 2015. "On ambiguity apportionment," Working Papers 1527, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Martin G. Kocher & Amrei Marie Lahno & Stefan T. Trautmann, 2015. "Ambiguity aversion is the exception," QuBE Working Papers 033, QUT Business School.
    5. Christophe Courbage & Beatrice Rey, 2016. "On ambiguity apportionment," Journal of Economics, Springer, vol. 118(3), pages 265-275, July.
    6. repec:kap:jrisku:v:55:y:2017:i:1:d:10.1007_s11166-017-9265-z is not listed on IDEAS
    7. Rapp, Thomas, 2014. "Patients' diagnosis decisions in Alzheimer's disease: The influence of family factors," Social Science & Medicine, Elsevier, vol. 118(C), pages 9-16.
    8. repec:eee:eecrev:v:101:y:2018:i:c:p:268-283 is not listed on IDEAS
    9. L. A. Franzoni, 2016. "Optimal liability design under risk and ambiguity," Working Papers wp1048, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Christophe Courbage & Béatrice Rey-Fournier, 2015. "On ambiguity apportionment," Working Papers halshs-01223230, HAL.
    11. David Weisbach, 2015. "Introduction: Legal Decision Making under Deep Uncertainty," The Journal of Legal Studies, University of Chicago Press, vol. 44(S2), pages 319-335.
    12. Afschin Gandjour, 2015. "Comment on: “Healthy Decisions: Towards Uncertainty Tolerance in Healthcare Policy”," PharmacoEconomics, Springer, vol. 33(9), pages 981-982, September.
    13. David Crainich & Louis Eeckhoudt, 2017. "Average willingness to pay for disease prevention with personalized health information," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 29-39, August.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I10 - Health, Education, and Welfare - - Health - - - General

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