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

Phu Nguyen Van, Thierry Blayac, Dimitri Dubois, Sebastien Duchene, Marc Willinger and Bruno Ventelou
Authors registered in the RePEc Author Service: Phu Nguyen-Van

No 2021-33, EconomiX Working Papers from University of Paris Nanterre, EconomiX

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.

Keywords: Covid-19; policy design; discrete choice experiment; individual preferences; acceptability (search for similar items in EconPapers)
JEL-codes: C90 D90 I18 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2021
New Economics Papers: this item is included in nep-dcm, nep-exp and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://economix.fr/pdf/dt/2021/WP_EcoX_2021-33.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:drm:wpaper:2021-33

Access Statistics for this paper

More papers in EconomiX Working Papers from University of Paris Nanterre, EconomiX Contact information at EDIRC.
Bibliographic data for series maintained by Valerie Mignon ( this e-mail address is bad, please contact ).