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True lies

Author

Listed:
  • David Hugh-Jones

    (University of East Anglia)

Abstract

Garbarino et al. (J Econ Sci Assoc. https://doi.org/10.1007/s40881-018-0055-4, 2018) describe a new method to calculate the probability distribution of the proportion of lies told in “coin flip” style experiments. I show that their estimates and confidence intervals are flawed. I demonstrate two better ways to estimate the probability distribution of what we really care about—the proportion of liars—and I provide R software to do this.

Suggested Citation

  • David Hugh-Jones, 2019. "True lies," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(2), pages 255-268, December.
    • Handle: RePEc:spr:jesaex:v:5:y:2019:i:2:d:10.1007_s40881-019-00069-x
    DOI: 10.1007/s40881-019-00069-x
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    References listed on IDEAS

    as
    1. Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2018. "A method to estimate mean lying rates and their full distribution," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 4(2), pages 136-150, December.
    2. Banerjee, Ritwik & Gupta, Nabanita Datta & Villeval, Marie Claire, 2018. "The spillover effects of affirmative action on competitiveness and unethical behavior," European Economic Review, Elsevier, vol. 101(C), pages 567-604.
    3. Benndorf, Volker & Moellers, Claudia & Normann, Hans-Theo, 2017. "Experienced vs. inexperienced participants in the lab: Do they behave differently?," DICE Discussion Papers 251, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Johannes Abeler & Daniele Nosenzo & Collin Raymond, 2019. "Preferences for Truth‐Telling," Econometrica, Econometric Society, vol. 87(4), pages 1115-1153, July.
    5. Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2018. "A Method to Estimate Mean Lying Rates and Their Full Distribution," Post-Print halshs-01896598, HAL.
    6. Volker Benndorf & Claudia Moellers & Hans-Theo Normann, 2017. "Experienced vs. inexperienced participants in the lab: do they behave differently?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(1), pages 12-25, July.
    7. Hugh-Jones, David, 2016. "Honesty, beliefs about honesty, and economic growth in 15 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 99-114.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Lying; Experiment; Estimation;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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