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Resolving ambiguity as a public good: experimental evidence from Guyana

Author

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  • Kaywana Raeburn

    (Union College)

  • Sonia Laszlo

    (McGill University)

  • Jim Warnick

    (McGill University)

Abstract

Incomplete information is a commonly cited barrier to the adoption of new innovations. We present a decision-making experiment, conducted with farmers in the field, that explores the extent to which information which reduces ambiguity may be provided as a public good. In the experiment, participants make a series of decisions between a risky gamble and an ambiguous gamble. An initial private decision is followed by second choice in which participants know that their chosen gambles and outcomes will be publicly but anonymously revealed. Selection of the ambiguous option in this decision thus provide public good information which can be used to update beliefs about the ambiguous gamble. After the public revelation, participants make one final choice between the two options which we use to assess learning. We also test communication as a mechanism to increase provision of the public good. We find evidence that people with preference to avoid ambiguity contribute to public good information while risk averse people free ride. Communication does not affect the overall public good provision, either in a positive or negative direction. Finally, we find that people draw appropriate inference from the information that the public good provides. We relate our findings to the issue of new technology adoption in agriculture which is of particular importance for our participants.

Suggested Citation

  • Kaywana Raeburn & Sonia Laszlo & Jim Warnick, 2023. "Resolving ambiguity as a public good: experimental evidence from Guyana," Theory and Decision, Springer, vol. 95(1), pages 79-107, July.
  • Handle: RePEc:kap:theord:v:95:y:2023:i:1:d:10.1007_s11238-022-09910-y
    DOI: 10.1007/s11238-022-09910-y
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    More about this item

    Keywords

    Informational public good; Ambiguity; Technology choice; Artefactual field experiment;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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