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dc.contributor.author
Pepa Risma, Eliana Beatriz

dc.contributor.author
Arribillaga, Roberto Pablo

dc.date.available
2025-05-09T13:31:06Z
dc.date.issued
2023
dc.identifier.citation
Obvious manipulations in many-to-one matching with and without contracts; XVII Congreso Dr. Antonio Monteiro; Bahía Blanca; Argentina; 2023; 60-61
dc.identifier.uri
http://hdl.handle.net/11336/260933
dc.description.abstract
In the two-sided many-to-one matching model with contracts, there is a bilateral market whose disjoint sides are typically referred to as doctors and hospitals. The problem consists of assigning agents from one side of the market to agents on the opposite side, through some contracts.In the studied many-to-one model, each doctor can sign one contract at most, whereas the hospitals can sign multiple contracts. Since two agents wishing to sign an existing contract are free todo it, and also the agents can unilaterally terminate previous contracts if they find it convenient,we will consider stable allocations, i.e., outcomes that are sustainable over time, supposing themarket remains unchanged.In addition to stability, the non-manipulability of a matching rule also has a central role intwo-sided matching literature. An agent manipulates a matching rule if there exists a situationin which it obtains a better result for him declaring an alternative preference to his true one.In the many-to-one matching model (with and without contracts) and substitutable preferences,any stable matching will be susceptible to manipulations. Given that manipulations can not becompletely avoided in this context we look for stable matching rules that at least prevent obviousmanipulations, as these are defined by Troyan and Morrill (2020). A manipulation is .obviousïfit is much easier for agents to recognize and execute successfully than others in a specific andformal sense.Our first result states that the D-optimal matching rule is not obviously manipulable (for doctors) in the general context of a many-to-one matching model with contracts and substitutablepreferences for hospitals. Hence, although there are no matching rules that are non-manipulableat least there is a matching rule that is non-obviously manipulable in such context. Surprisinglywe show that the opposite result holds for the H-optimal matching rule which turns out to beobviously manipulable even in the particular context of a one-to-one matching model with contracts. This result is surprising because it reveals a substantial difference between the modelswith and without contracts from the point of view of the strategic behavior of agents. Finally, we prove that the H-optimal matching rule is not obviously manipulable in the context of themany-to-one classical matching model without contracts and substitutable preferences for hospitals.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Universidad Nacional del Sur
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
OBVIOUS MANIPULATIONS
dc.subject
MATCHING
dc.subject
CONTRACTS
dc.subject.classification
Matemática Aplicada

dc.subject.classification
Matemáticas

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Obvious manipulations in many-to-one matching with and without contracts
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:ar-repo/semantics/documento de conferencia
dc.date.updated
2025-04-01T15:49:36Z
dc.journal.pagination
60-61
dc.journal.pais
Argentina

dc.journal.ciudad
Bahía Blanca
dc.description.fil
Fil: Pepa Risma, Eliana Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Departamento de Matemáticas; Argentina
dc.description.fil
Fil: Arribillaga, Roberto Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Departamento de Matemáticas; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.matematica.uns.edu.ar/xviicm/cuadernillo_xviicm_2023.pdf
dc.conicet.rol
Autor

dc.conicet.rol
Autor

dc.coverage
Nacional
dc.type.subtype
Congreso
dc.description.nombreEvento
XVII Congreso Dr. Antonio Monteiro
dc.date.evento
2023-06-07
dc.description.ciudadEvento
Bahía Blanca
dc.description.paisEvento
Argentina

dc.type.publicacion
Book
dc.description.institucionOrganizadora
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca
dc.source.libro
XVII Congreso Dr. Antonio Monteiro
dc.date.eventoHasta
2023-07-09
dc.type
Congreso
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