Implementation in dominant strategies of quota rules to choose one candidate

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dc.centroFacultad de Ciencias Económicas y Empresarialeses_ES
dc.contributor.authorAmorós-González, Pablo
dc.date.accessioned2023-04-20T12:08:49Z
dc.date.available2023-04-20T12:08:49Z
dc.date.created2023-04-20
dc.date.issued2022-04-28
dc.departamentoTeoría e Historia Económica
dc.description.abstractA group of experts has to pick one winner from a group of candidates. Each expert has a judgment about who is the best candidate. A social choice rule (SCR) is a function that aggregates experts’ judgments to determine the deserving winner. Experts may be biased and not want to reveal their judgments. We state a necessary and sufficient condition for implementing an SCR in dominant strategies. We show that no -supermajoritarian SCR with or -submajoritarian SCR with satisfies this conditiones_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Málaga / CBUAes_ES
dc.identifier.citationAmorós, P. (2022). Implementation in dominant strategies of quota rules to choose one candidate. Economics Letters, 216, 110557.es_ES
dc.identifier.doihttps://doi.org/10.1016/j.econlet.2022.110557
dc.identifier.urihttps://hdl.handle.net/10630/26324
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEconomiaes_ES
dc.subjectCiencias socialeses_ES
dc.subjectEconomía -- Métodos estadísticoses_ES
dc.subject.otherDeserving winneres_ES
dc.subject.otherImpartial expertses_ES
dc.subject.otherImplementationes_ES
dc.subject.otherSupermajority ruleses_ES
dc.subject.otherSubmajority ruleses_ES
dc.titleImplementation in dominant strategies of quota rules to choose one candidatees_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicatione73f2541-59b6-43eb-b0e8-7d22c8937d94
relation.isAuthorOfPublication.latestForDiscoverye73f2541-59b6-43eb-b0e8-7d22c8937d94

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