Sascha Behnk
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sascha Behnk has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Aurora García-Gallego
Laboratori d'Economia Experimental and Department of Economics, Universitat Jaume I, Castellón de la Plana, Valencian Community, 12071, Spain
2 shared publications - Iván Barreda-Tarrazona
Universitat Jaume I
2 shared publications - Ernesto Reuben
New York University (NYU) - New York University Abu Dhabi; IZA Institute of Labor Economics
1 shared publication Li Hao
1 shared publication
Latest Publications
- 19 April 2022
- Published by Elsevier in European Economic Review
- Vol. 145
Shifting normative beliefs: On why groups behave more antisocially than individuals
- 19 April 2022
- Published by Elsevier in European Economic Review
- Vol. 145
Shifting normative beliefs: On why groups behave more antisocially than individuals
- 1 March 2019
- Published by Elsevier in Journal of Economic Psychology
- Vol. 71, 37-58
Deception and reputation – An experimental test of reporting systems
- 1 March 2019
- Published by Elsevier in Journal of Economic Psychology
- Vol. 71, 37-58
Deception and reputation – An experimental test of reporting systems
- Open Access
- 10 October 2018
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 13 (10) , e0205420
Punishing liars—How monitoring affects honesty and trust
Previous experiments have shown that the possibility to punish liars does not per se increase honesty in principal-agent relationships. In this study, we first establish a punishment mechanism that substantially enhances honest behavior and trust in a sender-receiver game: the possibility to impose severe sanctions that are cost-free for enforcers. Adopting this effective mechanism, we investigate how variations in the probability of detecting lies affect sender and receiver. We find that high honesty levels persist under such punishment mechanism even when the detection probability is significantly reduced. Furthermore, the relationship between monitoring and honesty does not follow a linear trend, as a moderate monitoring level proves to be less effective in enhancing honesty than high or very low levels. The punishment mechanism has an even more robust effect on receivers, showing similarly high levels of trust independently of the detection probability. Our analysis of subjects’ beliefs provides further insights into the mechanics behind these behavioral patterns.
- 10 October 2018
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 13 (10) , e0205420
Open AccessPunishing liars—How monitoring affects honesty and trust
Previous experiments have shown that the possibility to punish liars does not per se increase honesty in principal-agent relationships. In this study, we first establish a punishment mechanism that substantially enhances honest behavior and trust in a sender-receiver game: the possibility to impose severe sanctions that are cost-free for enforcers. Adopting this effective mechanism, we investigate how variations in the probability of detecting lies affect sender and receiver. We find that high honesty levels persist under such punishment mechanism even when the detection probability is significantly reduced. Furthermore, the relationship between monitoring and honesty does not follow a linear trend, as a moderate monitoring level proves to be less effective in enhancing honesty than high or very low levels. The punishment mechanism has an even more robust effect on receivers, showing similarly high levels of trust independently of the detection probability. Our analysis of subjects’ beliefs provides further insights into the mechanics behind these behavioral patterns.