A Method to Estimate Mean Lying Rates and Their Full Distribution

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: IZA Discussion Papers ; No. 11798

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Design of Experiments: Laboratory, Individual ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
• Thema: sampling errors ; econometric estimation ; lying ; dishonesty ; experimental economics

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Garbarino, Ellen ; Slonim, Robert ; Villeval, Marie Claire
• Ereignis: Veröffentlichung
• (wer): Institute of Labor Economics (IZA)
• (wo): Bonn
• (wann): 2018

Weitere Informationen

• Handle: http://hdl.handle.net/10419/185258
• Letzte Aktualisierung: 10.03.2025, 11:41 MEZ