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Do numerical probabilities promote informed stated preference responses under inherent uncertainty? Insight from a coastal adaptation choice experiment

Author

Listed:
  • Christos Makriyannis

    (Suffolk University, Department of Economics)

  • Robert J. Johnston

    (Clark University, George Perkins Marsh Institute and Department of Economics)

  • Ewa Zawojska

    (University of Warsaw, Faculty of Economic Sciences)

Abstract

Inherent outcome uncertainty within stated preference surveys is invariant across valuation scenarios. It has received relatively little attention in the environmental stated preference literature. Specifically, it is unknown whether percentage probabilities—a ubiquitous means of communicating uncertainty in questionnaires—are an effective risk communication tool. This article systematically evaluates two treatments in a discrete choice experiment survey related to coastal climate change adaptation in Connecticut, USA: one provides only raw frequencies as a risk communication tool, while the other provides implied numerical probabilities in addition to the same raw frequencies. Results from a mixed logit model and from a latent class model that controls for sociodemographic influences show that the use of percentage probabilities to communicate inherent uncertainty has no additional effect on average welfare estimates or the choice behavior of respondents. Our findings suggest that percentage probabilities may not be an impactful way to communicate inherent uncertainty in environmental stated preference questionnaires.

Suggested Citation

  • Christos Makriyannis & Robert J. Johnston & Ewa Zawojska, 2022. "Do numerical probabilities promote informed stated preference responses under inherent uncertainty? Insight from a coastal adaptation choice experiment," Working Papers 2022-05, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2022-05
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    More about this item

    Keywords

    flood adaptation; inherent uncertainty; discrete choice experiment; stated preference; mixed logit; risk communication; WTP-space;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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