Given an assignment market, we introduce a set of vectors, one for each possible ordering on the player set, which we name the max-payoff vectors.

Mar 11, 2022 · Given an assignment market, we introduce a set of vectors, one for each possible ordering on the player set, which we name the max-payoff vectors.

Given an assignment market, a set of vectors are introduced, one for each possible ordering on the player set, which are named the max-payoff vectors, ...

Given an assignment market, we introduce a set of vectors, one for each possible ordering on the player set, which we name the max-payoff vectors.

On the domain of balanced multi-sided assignment games (Quint, 1991), the core is characterized as the unique non-empty solution satisfying derived consistency ...

In the framework of bilateral assignment games, we study the set of matrices associated with assignment markets with the same core.

Abstract Given an assignment market, we introduce a set of vectors, one for each possible ordering on the player set, which we name the max-payoff vectors.

Given an assignment market, we introduce a set of vectors, one for each possible ordering on the player set, which we name the max-payoff vectors.

A characterization of the extreme core allocations of the assignment game is given in terms of the reduced marginal worth vectors.

Bibliographic details on A simple procedure to obtain the extreme core allocations of an assignment market.