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When to release the lockdown: a wellbeing framework for analysing costs and benefits

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Listed:
  • Layard, Richard
  • Clark, Andrew E.
  • De Neve, Jan-Emmanuel
  • Krekel, Christian
  • Fancourt, Daisy
  • Hey, Nancy
  • O'Donnell, Gus

Abstract

In choosing when to end the lockdown, policy-makers have to balance the impact of the decision upon incomes, unemployment, mental health, public confidence and many other factors, as well as (of course) upon the number of deaths from COVID-19. To facilitate the decision it is helpful to forecast each factor using a single metric. We use as our metric the number of Wellbeing-Years resulting from each date of ending the lockdown. This new metric makes it possible to compare the impact of each factor in a way that is relevant to all public policy decisions.

Suggested Citation

  • Layard, Richard & Clark, Andrew E. & De Neve, Jan-Emmanuel & Krekel, Christian & Fancourt, Daisy & Hey, Nancy & O'Donnell, Gus, 2020. "When to release the lockdown: a wellbeing framework for analysing costs and benefits," LSE Research Online Documents on Economics 104276, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:104276
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    References listed on IDEAS

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    1. Andrew E. Clark & Paul Frijters & Michael A. Shields, 2008. "Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 95-144, March.
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    3. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Dolan, Paul & Jenkins, Pinar, 2020. "Estimating the monetary value of the deaths prevented from the UK Covid-19 lockdown when it was decided upon -- and the value of "flattening the curve"," LSE Research Online Documents on Economics 104355, London School of Economics and Political Science, LSE Library.
    5. Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: New Survey Evidence for the UK," Cambridge Working Papers in Economics 2023, Faculty of Economics, University of Cambridge.
    6. Andrew E. Clark & Sarah Flèche & Richard Layard & Powdthavee Nattavudh, 2018. "The Origins of Happiness: The Science of Well-Being over the Life Course," PSE-Ecole d'économie de Paris (Postprint) halshs-01631510, HAL.
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    8. Jan-Emmanuel De Neve & George Ward & Femke De Keulenaer & Bert Van Landeghem & Georgios Kavetsos & Michael I. Norton, 2018. "The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-Being Data," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 362-375, May.
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    More about this item

    Keywords

    Covid-19; coronavirus; Wellbeing Economics; Cost-Benefit Analysis; Health Policy;
    All these keywords.

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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