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Ambiguous Solicitation: Ambiguous Prescription

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We conduct a two-phase laboratory experiment, separated by several weeks. In the first phase, we conduct urn games intended to measure ambiguity aversion on a representative population of undergraduate students. In the second phase, we invite the students back with four different solicitation treatments, varying in the ambiguity of information regarding the task and the payout of the laboratory experiment. We find that those who return do not differ from the overall pool with respect to their ambiguity version. However, no solicitation treatment generates a representative sample. The ambiguous task treatment drives away the ambiguity averse disproportionally, and the detailed task treatment draws in the ambiguity averse disproportionally.

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  • Robert S. Gazzale & Julian Jamison & Alexander Karlan & Dean S. Karlan, 2009. "Ambiguous Solicitation: Ambiguous Prescription," Department of Economics Working Papers 2009-02, Department of Economics, Williams College.
  • Handle: RePEc:wil:wileco:2009-03
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    Cited by:

    1. Ayse Gül Mermer & Wieland Müller & Sigrid Suetens, 2016. "Cooperation in Indefinitely Repeated Games of Strategic Complements and Substitutes," Vienna Economics Papers 1603, University of Vienna, Department of Economics.
    2. Mermer, Ayşe Gül & Müller, Wieland & Suetens, Sigrid, 2021. "Cooperation in infinitely repeated games of strategic complements and substitutes," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1191-1205.
    3. Potters, Jan & Suetens, Sigrid, 2020. "Optimization incentives in dilemma games with strategic complementarity," European Economic Review, Elsevier, vol. 127(C).

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    More about this item

    Keywords

    laboratory experimental methods; experimental economics; laboratory selection effects;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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