🤖 AI Summary
In standard commitment games, one-shot side payments often induce a prisoner’s dilemma, leading to inefficient equilibria—even when the underlying game admits a Pareto-optimal Nash equilibrium.
Method: This paper proposes a phased, capped pre-commitment mechanism that integrates multi-round, outcome-contingent transfer payments with a unanimity rule, enabling gradual implementation of side contracts within a finite number of steps.
Contribution: The mechanism avoids strategic abuse inherent in single-stage commitments and, starting from any non-degenerate Nash equilibrium, achieves all strictly Pareto-superior welfare allocations. We formally prove that it guarantees strict Pareto improvements and fully restores the efficiency potential of side payments. By doing so, it provides a feasible and robust institutional design for enhancing aggregate social welfare within a non-cooperative framework.
📝 Abstract
We examine normal-form games in which players may emph{pre-commit} to outcome-contingent transfers before choosing their actions. In the one-shot version of this model, Jackson and Wilkie showed that side contracting can backfire: even a game with a Pareto-optimal Nash equilibrium can devolve into inefficient equilibria once unbounded, simultaneous commitments are allowed. The root cause is a prisoner's dilemma effect, where each player can exploit her commitment power to reshape the equilibrium in her favor, harming overall welfare.
To circumvent this problem we introduce a emph{staged-commitment} protocol. Players may pledge transfers only in small, capped increments over multiple rounds, and the phase continues only with unanimous consent. We prove that, starting from any finite game $Γ$ with a non-degenerate Nash equilibrium $vecσ$, this protocol implements every welfare-maximizing payoff profile that emph{strictly} Pareto-improves $vecσ$. Thus, gradual and bounded commitments restore the full efficiency potential of side payments while avoiding the inefficiencies identified by Jackson and Wilkie.