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A Method to Estimate Mean Lying Rates and Their Full Distribution

Author

Listed:
  • Garbarino, Ellen

    () (University of Sydney)

  • Slonim, Robert

    () (University of Sydney)

  • Villeval, Marie Claire

    () (CNRS, GATE)

Abstract

Studying the likelihood that individuals cheat requires a valid statistical measure of dishonesty. We develop an easy empirical method to measure and compare lying behavior within and across studies to correct for sampling errors. This method estimates the full distribution of lying when agents privately observe the outcome of a random process (e.g., die roll) and can misreport what they observed. It provides a precise estimate of the mean and confidence interval (offering lower and upper bounds on the proportion of people lying) over the full distribution, allowing for a vast range of statistical inferences not generally available with existing methods.

Suggested Citation

  • Garbarino, Ellen & Slonim, Robert & Villeval, Marie Claire, 2018. "A Method to Estimate Mean Lying Rates and Their Full Distribution," IZA Discussion Papers 11798, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp11798
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    Keywords

    sampling errors; econometric estimation; lying; dishonesty; experimental economics;

    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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