Maximum and minimum core payoffs for supermodular multisided assignment markets with local monotonicity

We give formulas to obtain the maximum and minimum core payoffs for supermodular multisided assignment markets satisfying a local monotonicity condition. These formulas are obtained directly from the multisided array of data and we provide a core allocation where these bounds are attained. Similar formulas are known from Eriksson et al. (2000) for the bilateral Becker’s assortative assignment.

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Publication Details

Journal
Discrete Applied Mathematics
Published
2025-10-15
DOI
https://doi.org/10.1016/j.dam.2025.10.006
Primary Topic
Game Theory and Voting Systems
Type
article
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article

Maximum and minimum core payoffs for supermodular multisided assignment markets with local monotonicity

Discrete Applied Mathematics
Game Theory and Voting Systems
article

Maximum and minimum core payoffs for supermodular multisided assignment markets with local monotonicity

article en

Abstract

We give formulas to obtain the maximum and minimum core payoffs for supermodular multisided assignment markets satisfying a local monotonicity condition. These formulas are obtained directly from the multisided array of data and we provide a core allocation where these bounds are attained. Similar formulas are known from Eriksson et al. (2000) for the bilateral Becker’s assortative assignment.

Discrete Applied MathematicsVol. 379
Universitat de Barcelona (ES), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 32%
Game Theory and Voting Systems
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Maximum and minimum core payoffs for supermodular multisided assignment markets with local monotonicity · Discrete Applied Mathematics (2025) | TGRS Research Map | TGRS