Titelaufnahme

Titel
A method to estimate mean lying rates and their full distribution / Ellen Garbarino (University of Sydney Business School), Robert Slonim (University of Sydney and IZA), Marie Claire Villeval (Université Lyon, CNRS, GATE and IZA) ; IZA Institute of Labor Economics
VerfasserGarbarino, Ellen ; Slonim, Robert ; Villeval, Marie-Claire
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, September 2018
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (20 Seiten) : Diagramme
SerieDiscussion paper ; no. 11798
URNurn:nbn:de:hbz:5:2-166288 
Zugriffsbeschränkung
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
A method to estimate mean lying rates and their full distribution [0.49 mb]
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Zusammenfassung (Englisch)

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.