A Method to Estimate Mean Lying Rates and Their Full Distribution

Ellen Garbarino Garbarino (), Robert Slonim () and Marie Claire Villeval
Additional contact information
Ellen Garbarino Garbarino: University of Sydney Business School, Department of Marketing, Abercrombie building, Sydney, NSW 2006, Australia
Robert Slonim: University of Sydney, Department of Economics, Merewether building, Sydney, NSW 2006, Australia; IZA, Bonn, Germany

No 1816, Working Papers from Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon

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: Dishonesty; lying; econometric estimation; sampling errors; experimental economics (search for similar items in EconPapers)
JEL-codes: C81 C91 D03 (search for similar items in EconPapers)
Date: 2018
New Economics Papers: this item is included in nep-ecm and nep-exp
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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ftp://ftp.gate.cnrs.fr/RePEc/2018/1816.pdf (application/pdf)

Related works:
Journal Article: A method to estimate mean lying rates and their full distribution (2018)
Working Paper: A Method to Estimate Mean Lying Rates and Their Full Distribution (2018)
Working Paper: A Method to Estimate Mean Lying Rates and Their Full Distribution (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:gat:wpaper:1816

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