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来源类型Working Paper
规范类型报告
DOI10.3386/w28137
来源IDWorking Paper 28137
Mediating Conflict in the Lab
Alessandra Casella; Evan Friedman; Manuel Perez Archila
发表日期2020-11-30
出版年2020
语种英语
摘要Mechanism design teaches us that a mediator can strictly improve the chances of peace between two opponents even when the mediator has no independent resources, is less informed than the two parties, and has no enforcement power. We test the theory in a lab experiment where two subjects negotiate how to share a resource; in case of conflict, the subjects' privately known strength determines their payoffs. The subjects send cheap talk messages about their strength to one another (in the treatment with direct communication) or to the mediator (in the mediation treatment), before making their demands or receiving the mediator's recommendations. We find that, in line with the theory, messages are significantly more sincere when sent to the mediator. However, contrary to the theory, peaceful resolution is not more frequent, even when the mediator is a computer implementing the optimal mediation program. While the theoretical result refers to the best (i.e. most peaceful) equilibrium under mediation, multiple equilibria exist, and the best equilibrium is particularly vulnerable to small deviations from full truthfulness. Subjects are not erratic and their deviations induce only small losses in payoffs, and yet they translate into significant increases in conflict.
主题Microeconomics ; Game Theory ; Econometrics ; Experimental Design ; Welfare and Collective Choice ; Economics of Information
URLhttps://www.nber.org/papers/w28137
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/585811
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Alessandra Casella,Evan Friedman,Manuel Perez Archila. Mediating Conflict in the Lab. 2020.
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