A Method to Estimate Mean Lying Rates and Their Full Distribution

Posted: 24 Sep 2018

See all articles by Ellen Garbarino

Ellen Garbarino

The University of Sydney

Robert Slonim

The University of Sydney; IZA Institute of Labor Economics

Marie Claire Villeval

Groupe d'Analyse et de Théorie Economique (GATE), CNRS; IZA Institute of Labor Economics; Global Labor Organization (GLO)

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Date Written: September 6, 2018

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

JEL Classification: C91, C81, D03

Suggested Citation

Garbarino, Ellen and Slonim, Robert and Villeval, Marie Claire, A Method to Estimate Mean Lying Rates and Their Full Distribution (September 6, 2018). Available at SSRN: https://ssrn.com/abstract=3245061 or http://dx.doi.org/10.2139/ssrn.3245061

Ellen Garbarino

The University of Sydney ( email )

Robert Slonim

The University of Sydney ( email )

University of Sydney
Sydney, NC NSW 2006
Australia

IZA Institute of Labor Economics ( email )

P.O. Box 7240
Bonn, D-53072
Germany

Marie Claire Villeval (Contact Author)

Groupe d'Analyse et de Théorie Economique (GATE), CNRS ( email )

93, chemin des Mouilles
Ecully, 69130
France
+33 472 86 60 79 (Phone)
+33 472 86 60 90 (Fax)

HOME PAGE: http://www.gate.cnrs.fr/equipe/perso/villeval/villeval.html

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Global Labor Organization (GLO) ( email )

Collogne
Germany

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