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What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies

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  • Blayac, Thierry
  • Dubois, Dimitri
  • Duchêne, Sébastien
  • Nguyen-Van, Phu
  • Ventelou, Bruno
  • Willinger, Marc

Abstract

The public acceptability of a policy is an important issue in democracies, in particular for anti-COVID-19 policies, which require the adherence of the population to be applicable and efficient. Discrete choice experiment (DCE) can help elicit preference ranking among various policies for the whole population and subgroups. Using a representative sample of the French population, we apply DCE methods to assess the acceptability of various anti-COVID-19 measures, separately and as a package. Owing to the methods, we determine the extent to which acceptability depends on personal characteristics: political orientation, health vulnerability, or age. The young population differs in terms of policy preferences and their claim for monetary compensation, suggesting a tailored policy for them. The paper provides key methodological tools based on microeconomic evaluation of individuals’ preferences for improving the design of public health policies.

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  • Blayac, Thierry & Dubois, Dimitri & Duchêne, Sébastien & Nguyen-Van, Phu & Ventelou, Bruno & Willinger, Marc, 2022. "What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies," Economic Modelling, Elsevier, vol. 116(C).
    • Handle: RePEc:eee:ecmode:v:116:y:2022:i:c:s026499932200284x
    DOI: 10.1016/j.econmod.2022.106047
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    Cited by:

    1. Oyenubi, Adeola & Kollamparambil, Umakrishnan, 2023. "Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?," Economic Modelling, Elsevier, vol. 120(C).
    2. Conti, G.; & Giustinelli, P.;, 2022. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An Application to Lockdown Compliance in the United Kingdom," Health, Econometrics and Data Group (HEDG) Working Papers 22/14, HEDG, c/o Department of Economics, University of York.
    3. Gabriella Conti & Pamela Giustinelli, 2023. "For better or worse? Subjective expectations and cost-benefit trade-offs in health behavior," IFS Working Papers W23/19, Institute for Fiscal Studies.
    4. Zexuan Wang & Ismaël Rafaï & Marc Willinger, 2023. "Does age affect the relation between risk and time preferences? Evidence from a representative sample," Southern Economic Journal, John Wiley & Sons, vol. 90(2), pages 341-368, October.
    5. Julien Bergeot & Florence Jusot, 2024. "Risk, time preferences, trustworthiness and COVID-19 preventive behavior: evidence from France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 91-101, February.
    6. Emily Lancsar & Elisabeth Huynh & Joffre Swait & Robert Breunig & Craig Mitton & Martyn Kirk & Cam Donaldson, 2023. "Preparing for future pandemics: A multi‐national comparison of health and economic trade‐offs," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1434-1452, July.

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    More about this item

    Keywords

    COVID-19; Policy design; Discrete choice experiment; Individual preferences; Acceptability;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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