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Are Online Samples Credible? Evidence from Risk Elicitation Tests

Author

Listed:
  • John Gibson

    (Department of Economics and Finance University of Texas El Paso)

  • David Johnson

    (University of Central Missouri)

Abstract

No abstract is available for this item.

Suggested Citation

  • John Gibson & David Johnson, 2019. "Are Online Samples Credible? Evidence from Risk Elicitation Tests," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(3), pages 377-379, September.
  • Handle: RePEc:kap:atlecj:v:47:y:2019:i:3:d:10.1007_s11293-019-09625-6
    DOI: 10.1007/s11293-019-09625-6
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    Citations

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    Cited by:

    1. David Johnson & John Barry Ryan, 2020. "Amazon Mechanical Turk workers can provide consistent and economically meaningful data," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 369-385, July.
    2. John Gibson & David Johnson, 2021. "Breaking Bad: When Being Disadvantaged Incentivizes (Seemingly) Risky Behavior," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(1), pages 107-134, January.
    3. John Gibson & David Johnson, 0. "Breaking Bad: When Being Disadvantaged Incentivizes (Seemingly) Risky Behavior," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 0, pages 1-28.
    4. Kaitlynn Sandstrom‐Mistry & Frank Lupi & Hyunjung Kim & Joseph A. Herriges, 2023. "Comparing water quality valuation across probability and non‐probability samples," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 744-761, June.
    5. Goudarzi, Fatemeh (Sahar) & Olaru, Doina & Bergey, Paul, 2023. "Beyond risk attitude: Unpacking behavioral drivers of supply chain contracts," International Journal of Production Economics, Elsevier, vol. 255(C).

    More about this item

    Keywords

    C99; C83;

    JEL classification:

    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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