Arbeitspapier

The Myopic Stable Set for Social Environments

We introduce a new solution concept for models of coalition formation, called the myopic stable set. The myopic stable set is defined for a very general class of social environments and allows for an infinite state space. We show that the myopic stable set exists and is non-empty. Under minor continuity conditions, we also demonstrate uniqueness. Furthermore, the myopic stable set is a superset of the core and of the set of pure strategy Nash equilibria in noncooperative games. Additionally, the myopic stable set generalizes and unifies various results from more specific environments. In particular, the myopic stable set coincides with the coalition structure core in coalition function form games if the coalition structure core is non-empty; with the set of stable matchings in the standard one-to-one matching model; with the set of pairwise stable networks and closed cycles in models of network formation; and with the set of pure strategy Nash equilibria in finite supermodular games, finite potential games, and aggregative games. We illustrate the versatility of our concept by characterizing the myopic stable set in a model of Bertrand competition with asymmetric costs, for which the literature so far has not been able to fully characterize the set of all (mixed) Nash equilibria.

Language
Englisch

Bibliographic citation
Series: Nota di Lavoro ; No. 26.2017

Classification
Wirtschaft
Game Theory and Bargaining Theory: General
Cooperative Games
Subject
Social Environments
Group Formation
Stability
Nash Equilibrium

Event
Geistige Schöpfung
(who)
Demuynck, Thomas
Herings, Jean-Jacques
Saulle, Riccardo D.
Seel, Christian
Event
Veröffentlichung
(who)
Fondazione Eni Enrico Mattei (FEEM)
(where)
Milano
(when)
2017

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Demuynck, Thomas
  • Herings, Jean-Jacques
  • Saulle, Riccardo D.
  • Seel, Christian
  • Fondazione Eni Enrico Mattei (FEEM)

Time of origin

  • 2017

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