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Ambiguous Solicitation: Ambiguous Prescription

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  • ROBERT GAZZALE
  • JULIAN JAMISON
  • ALEXANDER KARLAN
  • DEAN KARLAN

Abstract

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 Gazzale & Julian Jamison & Alexander Karlan & Dean Karlan, 2013. "Ambiguous Solicitation: Ambiguous Prescription," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 1002-1011, January.
  • Handle: RePEc:bla:ecinqu:v:51:y:2013:i:1:p:1002-1011
    DOI: j.1465-7295.2011.00383.x
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    Cited by:

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    3. Jing Cai & Changcheng Song, 2016. "Do Disaster Experience and Knowledge Affect Insurance Take-up Decisions?," NBER Working Papers 22403, National Bureau of Economic Research, Inc.
    4. Oechssler, Jörg & Roomets, Alex, 2015. "A test of mechanical ambiguity," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 153-162.
    5. David H. Herberich & John A. List, 2012. "Digging into Background Risk: Experiments with Farmers and Students," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 457-463.

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    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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