Mediating Conflict in the Lab

Working Paper: NBER ID: w28137

Authors: Alessandra Casella; Evan Friedman; Manuel Perez Archila

Abstract: 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.

Keywords: mediation; conflict resolution; mechanism design; experimental economics

JEL Codes: C78; C92; D74; D82; D86


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Mediation (K41)Peaceful Resolution (D74)
Mediator (C78)Chances of Peace (D74)
Message Sincerity (Y20)Chances of Peace (D74)
Mediation (K41)Conflict Increase (D74)
Mediator (C78)Message Sincerity (Y20)

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