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Designing acceptable anti-COVID-19 policies by taking into account individuals’ preferences: evidence from a Discrete Choice Experiment

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  • Phu Nguyen Van
  • Thierry Blayac
  • Dimitri Dubois
  • Sebastien Duchene
  • Marc Willinger
  • Bruno Ventelou

Abstract

In the need to assess anti-COVID-19 policies in terms of public acceptability, we report the key results of a Discrete Choice Experiment based on a representative sample of the French population. Preference-ranking analysis is performed for the whole population and by subgroups. Results show that wearing masks, transport limitations, and digital-tracking are well accepted. However, restaurant closures and excessive leisure travel restrictions are not. The acceptability depends on personal characteristics: political orientation, health vulnerability, or age. The young population differs from others, in terms of policies preferences and in their claim for monetary compensation, suggesting a tailored policy for them.

Suggested Citation

  • Phu Nguyen Van & Thierry Blayac & Dimitri Dubois & Sebastien Duchene & Marc Willinger & Bruno Ventelou, 2021. "Designing acceptable anti-COVID-19 policies by taking into account individuals’ preferences: evidence from a Discrete Choice Experiment," EconomiX Working Papers 2021-33, University of Paris Nanterre, EconomiX.
    • Handle: RePEc:drm:wpaper:2021-33
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    Cited by:

    1. Xinyue Wen & Ismaël Rafaï & Sébastien Duchêne & Marc Willinger, 2022. "Did Mindful People Do Better during the COVID-19 Pandemic? Mindfulness Is Associated with Well-Being and Compliance with Prophylactic Measures," IJERPH, MDPI, vol. 19(9), pages 1-25, April.
    2. 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.

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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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