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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.

Suggested Citation

  • 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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    1. Yoshie Matsumoto & Toshio Yamagishi & Yang Li & Toko Kiyonari, 2016. "Prosocial Behavior Increases with Age across Five Economic Games," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    2. Bargain, Olivier & Aminjonov, Ulugbek, 2020. "Trust and compliance to public health policies in times of COVID-19," Journal of Public Economics, Elsevier, vol. 192(C).
    3. Barry Eichengreen & Orkun Saka & Cevat Giray Aksoy, 2024. "The Political Scar of Epidemics," The Economic Journal, Royal Economic Society, vol. 134(660), pages 1683-1700.
    4. Adema, Joop & Nikolka, Till & Poutvaara, Panu & Sunde, Uwe, 2022. "On the stability of risk preferences: Measurement matters," Economics Letters, Elsevier, vol. 210(C).
    5. repec:zbw:bofitp:2020_014 is not listed on IDEAS
    6. Edgell, Amanda B. & Lachapelle, Jean & Lührmann, Anna & Maerz, Seraphine F., 2021. "Pandemic backsliding: Violations of democratic standards during Covid-19," Social Science & Medicine, Elsevier, vol. 285(C).
    7. McPhedran, Robert & Toombs, Ben, 2021. "Efficacy or delivery? An online Discrete Choice Experiment to explore preferences for COVID-19 vaccines in the UK," Economics Letters, Elsevier, vol. 200(C).
    8. Romano, Alessandro & Sotis, Chiara & Dominioni, Goran & Guidi, Sebastián, 2020. "The scale of COVID-19 graphs affects understanding, attitudes, and policy preferences," LSE Research Online Documents on Economics 106217, London School of Economics and Political Science, LSE Library.
    9. Leeper, Thomas J. & Hobolt, Sara B. & Tilley, James, 2020. "Measuring Subgroup Preferences in Conjoint Experiments," Political Analysis, Cambridge University Press, vol. 28(2), pages 207-221, April.
    10. Jelnov, Artyom & Jelnov, Pavel, 2022. "Vaccination policy and trust," Economic Modelling, Elsevier, vol. 108(C).
    11. Bruno S. Frey, 1997. "Not Just for the Money," Books, Edward Elgar Publishing, number 1183.
    12. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    13. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    14. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    15. Aucejo, Esteban M. & French, Jacob & Ugalde Araya, Maria Paola & Zafar, Basit, 2020. "The impact of COVID-19 on student experiences and expectations: Evidence from a survey," Journal of Public Economics, Elsevier, vol. 191(C).
    16. Nivette, Amy & Ribeaud, Denis & Murray, Aja & Steinhoff, Annekatrin & Bechtiger, Laura & Hepp, Urs & Shanahan, Lilly & Eisner, Manuel, 2021. "Non-compliance with COVID-19-related public health measures among young adults in Switzerland: Insights from a longitudinal cohort study," Social Science & Medicine, Elsevier, vol. 268(C).
    17. Lewkowicz, Jacek & Woźniak, Michał & Wrzesiński, Michał, 2022. "COVID-19 and erosion of democracy," Economic Modelling, Elsevier, vol. 106(C).
    18. J. R. Hicks, 1941. "The Rehabilitation of Consumers' Surplus," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 8(2), pages 108-116.
    19. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, November.
    20. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2022. "Subjective beliefs and economic preferences during the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 795-823, June.
    21. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    22. Nina Haug & Lukas Geyrhofer & Alessandro Londei & Elma Dervic & Amélie Desvars-Larrive & Vittorio Loreto & Beate Pinior & Stefan Thurner & Peter Klimek, 2020. "Ranking the effectiveness of worldwide COVID-19 government interventions," Nature Human Behaviour, Nature, vol. 4(12), pages 1303-1312, December.
    23. Kreps, David M, 1997. "Intrinsic Motivation and Extrinsic Incentives," American Economic Review, American Economic Association, vol. 87(2), pages 359-364, May.
    24. Wändi Bruine de Bruin & Htay-Wah Saw & Dana P. Goldman, 2020. "Political polarization in US residents’ COVID-19 risk perceptions, policy preferences, and protective behaviors," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 177-194, October.
    25. Currie, John Martin & Murphy, John A & Schmitz, Andrew, 1971. "The Concept of Economic Surplus and its Use in Economic Analysis," Economic Journal, Royal Economic Society, vol. 81(324), pages 741-799, December.
    26. Jason Shachat & Matthew J. Walker & Lijia Wei, 2021. "The Impact of an Epidemic: Experimental Evidence on Preference Stability from Wuhan," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 302-306, May.
    27. Andreas C. Drichoutis & Rodolfo M. Nayga, 2022. "On the stability of risk and time preferences amid the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 759-794, June.
    28. Leeper, Thomas J. & Hobolt, Sara & Tilley, James, 2020. "Measuring subgroup preferences in conjoint experiments," LSE Research Online Documents on Economics 100944, London School of Economics and Political Science, LSE Library.
    29. Anna Wnuk & Tomasz Oleksy & Dominika Maison, 2020. "The acceptance of Covid-19 tracking technologies: The role of perceived threat, lack of control, and ideological beliefs," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    30. Roland Bénabou & Jean Tirole, 2003. "Intrinsic and Extrinsic Motivation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 489-520.
    31. Müller, Stephan & Rau, Holger A., 2021. "Economic preferences and compliance in the social stress test of the COVID-19 crisis," Journal of Public Economics, Elsevier, vol. 194(C).
    32. Gutiérrez-Romero, Roxana, 2022. "Conflicts increased in Africa shortly after COVID-19 lockdowns, but welfare assistance reduced fatalities," Economic Modelling, Elsevier, vol. 116(C).
    33. J. Scott Long & Sarah A. Mustillo, 2021. "Using Predictions and Marginal Effects to Compare Groups in Regression Models for Binary Outcomes," Sociological Methods & Research, , vol. 50(3), pages 1284-1320, August.
    34. Alessandro Romano & Chiara Sotis & Goran Dominioni & Sebastián Guidi, 2020. "The scale of COVID‐19 graphs affects understanding, attitudes, and policy preferences," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1482-1494, November.
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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. Stankov, Petar, 2024. "Will voters polarize over pandemic restrictions? Theory and evidence from COVID-19," Economic Modelling, Elsevier, vol. 136(C).
    7. 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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