We present a novel approach to N-person bargaining, based on the idea that the agreement reached in a negotiation is determined by how the direct conflict resulting from disagreement would be resolved. Our basic building block is the disagreement function, which maps each set of feasible...

We propose a new bargaining solution, based on the idea - borrowed from Hobbes - that the agreement reached in a negotiation should be determined by how the direct conflict resulting from disagreement would be resolved. The explicit modeling of the disagreement game directly leads to the...

We present a novel approach to N-person bargaining, based on the idea that the agreement reached in a negotiation is determined by how the direct conflict resulting from disagreement would be resolved. Our basic building block is the disagreement function, which maps each set of feasible...

Consider an environment with widespread externalities, and suppose that binding agreements can be written. We study coalition formation in such a setting. Our analysis proceeds by defining on a partition function an extensive form bargaining game. We establish the existence of a stationary...

This chapter surveys a sizable and growing literature on coalition formation. We refer to theories in which one or more groups of agents (“coalitionsâ€) deliberately get together to jointly determine within-group actions, while interacting noncooperatively across groups. The chapter...

This chapter surveys a sizable and growing literature on coalition formation. We refer to theories in which one or more groups of agents (“coalitions”) deliberately get together to jointly determine within-group actions, while interacting noncooperatively across groups. The chapter describes...

We consider a dynamic model where traders in each period are matched randomly into pairs who then bargain about the division of a fixed surplus. When agreement is reached the traders leave the market. Traders who do not come to an agreement return next period in which they will be matched again,...