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Por favor, use este identificador para citar o enlazar este ítem: https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/95368
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dc.creatorBenjamín Temkin Yedwab-
dc.creatorGerardo Isaac Cisneros Yescas-
dc.date2018-
dc.date.accessioned2022-03-22T18:52:50Z-
dc.date.available2022-03-22T18:52:50Z-
dc.identifierhttp://www.redalyc.org/articulo.oa?id=81257495001-
dc.identifier.urihttp://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/95368-
dc.descriptionThis article presents an analytical extension to Fiorinas running tally approach to party identification through empirical testing using Latin American data, in order to include partisan independence as a possible outcome of negative retrospective evaluations of governmental performance. Voters who evaluate government performance more negatively have a higher propensity to not identify with any political party. An instrumental probit model shows that, when controlling for the possible inverse causality between partisan independence and a negative assessment of government performance, the latter variable provides the strongest prediction of the lack of partisan identification in comparison with sociological, cultural, modernization and political-institutional variables. A theoretical explanation is offered based on the principal-agent model.-
dc.formatapplication/pdf-
dc.languageen-
dc.publisherUniversidad de Los Andes-
dc.relationhttp://www.redalyc.org/revista.oa?id=812-
dc.rightsColombia Internacional-
dc.sourceColombia Internacional (Colombia) Num.96-
dc.subjectPolítica-
dc.subjectLatin America-
dc.subjectPartisan independence-
dc.subjectPartisan identification-
dc.subjectrunning tally approach-
dc.subjectFiorina-
dc.subjectgovernment performance-
dc.subjectinstitutional trust-
dc.subjectprincipal-agent model-
dc.titleThe Road to Partisan Independence: An Extension and Empirical Test of the Running Tally Approach in Latin America-
dc.typeartículo científico-
Aparece en las colecciones: Centro de Estudios Socioculturales e Internacionales - CESO/UNIANDES - Cosecha

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