Dishonesty in Behavioral Economics provides a rigorous and comprehensive overview of dishonesty, presenting state-of-the-art research that adopts a behavioral economics perspective. Throughout the volume, contributors emphasize the effects of psychological, social, and cognitive factors on the decision-making process. In contrast to related titles, Dishonesty in Behavioral Economics emphasizes the importance of empirical research methodologies. Its contributors demonstrate how various methods applied to similar research questions can lead to different results. This characteristic is important because, of course, it is difficult to obtain reliable measures of dishonesty.
- Reviews many key issues in the literature around lying, cheating, fraudulence, and deception
- Covers both state-of-the-art methods and data collection mechanisms (e.g., laboratory experiments, field experiments, online surveys)
- Discusses novel interdisciplinary research findings and from them proposes new avenues of research
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Section 1: Dishonesty in behavioral economics: An overview 1. Dishonesty in behavioral economics: An overview
Section 2: Dishonesty among children and young adults 2.1 Dishonesty in young children 2.2 Dishonesty among children: Rural/urban status and parental migration 2.3 What does a young cheater look like? An innovative approach 2.4 Dishonesty among university students 2.5 Cheating in academic exams: A field study
Section 3: Dishonesty, individual, and social preferences 3.1 Do economists lie more? 3.2 Cheating and altruism by discipline 3.3 Negative externalities of cheating: An experiment with charities 3.4 Cheating: Perceptions and profit 3.5 An experiment on conformity in deception
Section 4: Dishonesty in daily life 4.1 Fare-dodging in the lab and the moral cost of dishonesty 4.2 The cost of being honest: Excessive change at the restaurant 4.3 Prosociality and fiscal honesty: Tax evasion in Italy, United Kingdom, and Sweden 4.4 Can upfront declarations of honesty improve anonymous self-reports of sensitive information?
Alessandro Bucciol is an Associate Professor of Econometrics at the University of Verona (Italy). He received an MSc in Statistical and Economic Sciences and a PhD in Economics at the University of Padua, and spent research periods at MIT and the University of Amsterdam. His research interests span across household finance, economic policy analysis, behavioral economics, and in general applied microeconometrics. He published articles on these topics in the Review of Economics and Statistics, the Journal of the European Economic Association, the Review of Finance, and other international journals.
Natalia Montinari is an Assistant Professor of Economics at the University of Bologna. She received an MSc in Economics at the University of Bologna, and a PhD in Economics at the University of Padua, and spent research periods at the Max Planck Institute of Economics and Lund University. Her research interests span across the design of incentives in organizations in the presence of reciprocal workers, the development of other regarding preferences, affirmative action policies, and in general experimental and behavioral economics. She published articles on these topics in Journal of Economic Behavior and Organization, Experimental Economics, the Journal of Experimental Psychology, and other international journals.