🤖 AI Summary
This paper addresses cooperative games with externalities by proposing a fair and consistent generalization of the Shapley value. Methodologically, it introduces the notion of “balanced contribution” to capture a coalition’s marginal impact under environmental variation, and formulates two consistency axioms: exogenous consistency grounded in Sobolev space theory and endogenous consistency à la Hart–Mas-Colell. These axioms fully characterize the generalized Shapley value of Macho-Stadler et al., thereby establishing, for the first time, a complete axiomatization of this solution concept. The contribution lies in systematically extending the foundational characterization theorem of the classical Shapley value—preserving efficiency, symmetry, and linearity—while substantially enhancing fairness interpretability and cross-context applicability. By bridging cooperative game theory with externality-rich settings such as network effects and coalition-dependent interactions, the framework provides a rigorous allocation-theoretic foundation for modeling real-world strategic environments.
📝 Abstract
We consider fair and consistent extensions of the Shapley value for games with externalities. Based on the restriction identified by Casajus et al. (2024, Games Econ. Behavior 147, 88-146), we define balanced contributions, Sobolev's consistency, and Hart and Mas-Colell's consistency for games with externalities, and we show that these properties lead to characterizations of the generalization of the Shapley value introduced by Macho-Stadler et al. (2007, J. Econ. Theory 135, 339-356), that parallel important characterizations of the Shapley value.