A Method to Estimate Mean Lying Rates and Their Full Distribution

Ellen Garbarino, Robert Slonim and Marie Claire Villeval ()
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Ellen Garbarino: The University of Sydney
Robert Slonim: The University of Sydney
Marie Claire Villeval: GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique

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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.

Keywords: experimental economics; dishonesty; lying; econometric estimation; sampling errors (search for similar items in EconPapers)
Date: 2018
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01896598v1
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Citations: View citations in EconPapers (9)

Published in Journal of the Economic Science Association, 2018, 4 (2), pp.136-150. ⟨10.1007/s40881-018-0055-4⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01896598

DOI: 10.1007/s40881-018-0055-4

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