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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