A Method to Estimate Mean Lying Rates and Their Full Distribution

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.
Type de document :
Pré-publication, Document de travail
Working paper GATE 2018-16. 2018
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Soumis le : mardi 11 septembre 2018 - 15:50:36
Dernière modification le : mercredi 31 octobre 2018 - 12:24:13
Document(s) archivé(s) le : mercredi 12 décembre 2018 - 15:17:03


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  • HAL Id : halshs-01872086, version 1


Ellen Garbarino, Robert Slonim, Marie Claire Villeval. A Method to Estimate Mean Lying Rates and Their Full Distribution. Working paper GATE 2018-16. 2018. 〈halshs-01872086〉



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