Maximum and minimum 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 f...
| Autores: | , , |
|---|---|
| Tipo de documento: | artigo |
| Estado: | Versión aceptada para publicación |
| Data de publicação: | 2026 |
| País: | España |
| Recursos: | Universidad de Oviedo (UNIOVI) |
| Repositório: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/224089 |
| Acesso em linha: | https://hdl.handle.net/2445/224089 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Assignació de recursos Funcions modulars Màxims i mínims Estudis de mercat Resource allocation Modular functions Maxima and minima Market surveys |
| id |
ES_0f5ee0ebbd1db2d7993ba3adf847b8ec |
|---|---|
| oai_identifier_str |
oai:diposit.ub.edu:2445/224089 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicityMartínez de Albéniz, F. JavierRafels, CarlesYbern, NeusAssignació de recursosFuncions modularsMàxims i mínimsEstudis de mercatResource allocationModular functionsMaxima and minimaMarket surveysWe 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.Elsevier B.V.2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/224089Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial)reponame:Dipòsit Digital de la UBinstname:Universidad de Oviedo (UNIOVI)InglésReproducció del document publicat a: https://doi.org/10.1016/j.dam.2025.10.006Discrete Applied Mathematics, 2026, vol. 379, p. 605-612https://doi.org/10.1016/j.dam.2025.10.006cc-by-nc-nd (c) Elsevier B.V., 2026http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2240892026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| title |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| spellingShingle |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity Martínez de Albéniz, F. Javier Assignació de recursos Funcions modulars Màxims i mínims Estudis de mercat Resource allocation Modular functions Maxima and minima Market surveys |
| title_short |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| title_full |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| title_fullStr |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| title_full_unstemmed |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| title_sort |
Maximum and minimum payoffs for supermodular multisided assignment markets with local monotonicity |
| dc.creator.none.fl_str_mv |
Martínez de Albéniz, F. Javier Rafels, Carles Ybern, Neus |
| author |
Martínez de Albéniz, F. Javier |
| author_facet |
Martínez de Albéniz, F. Javier Rafels, Carles Ybern, Neus |
| author_role |
author |
| author2 |
Rafels, Carles Ybern, Neus |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Assignació de recursos Funcions modulars Màxims i mínims Estudis de mercat Resource allocation Modular functions Maxima and minima Market surveys |
| topic |
Assignació de recursos Funcions modulars Màxims i mínims Estudis de mercat Resource allocation Modular functions Maxima and minima Market surveys |
| description |
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. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2445/224089 |
| url |
https://hdl.handle.net/2445/224089 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Reproducció del document publicat a: https://doi.org/10.1016/j.dam.2025.10.006 Discrete Applied Mathematics, 2026, vol. 379, p. 605-612 https://doi.org/10.1016/j.dam.2025.10.006 |
| dc.rights.none.fl_str_mv |
cc-by-nc-nd (c) Elsevier B.V., 2026 http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
cc-by-nc-nd (c) Elsevier B.V., 2026 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier B.V. |
| publisher.none.fl_str_mv |
Elsevier B.V. |
| dc.source.none.fl_str_mv |
Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial) reponame:Dipòsit Digital de la UB instname:Universidad de Oviedo (UNIOVI) |
| instname_str |
Universidad de Oviedo (UNIOVI) |
| reponame_str |
Dipòsit Digital de la UB |
| collection |
Dipòsit Digital de la UB |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869403450309083136 |
| score |
15,811543 |