Dataset Determinants of Cabinet Size in Presidential Systems

Autores
Albala Young, Adrián Nicolás; Clerici, Paula Andrea; Olivares, Alejandro
Año de publicación
2023
Idioma
inglés
Tipo de recurso
conjunto de datos
Estado
Descripción
The composition of cabinets under presidential regimes has constituted one of the top topics of the literature in political science in recent years. However, nothing has been said about the proper size of those cabinets. That is, why some cabinets are 37 ministers large when other is formed by just 13 members? We carry on a theory of cabinet size under presidential regimes, using insights from both parliamentarism and presidentialism literatures. Our model is composed of five hypotheses relying on an original dataset of 161 observations across 19 presidential countries of the Americas. Our main finding is that the inclusion of independents and/or technocrats impacts significantly on lowering cabinets’ size.
Fil: Albala Young, Adrián Nicolás. Universidade do Brasília; Brasil
Fil: Clerici, Paula Andrea. Universidad Torcuato Di Tella. Departamento de Cs.politica y Estudios Internacionales. Prog.de Estudios Electorales y Legislativos; Argentina
Fil: Olivares, Alejandro. Universidad Mayor.; Chile
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/199771
Acceder
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spelling Dataset Determinants of Cabinet Size in Presidential SystemsAlbala Young, Adrián NicolásClerici, Paula AndreaOlivares, Alejandrohttps://purl.org/becyt/ford/5.6https://purl.org/becyt/ford/5The composition of cabinets under presidential regimes has constituted one of the top topics of the literature in political science in recent years. However, nothing has been said about the proper size of those cabinets. That is, why some cabinets are 37 ministers large when other is formed by just 13 members? We carry on a theory of cabinet size under presidential regimes, using insights from both parliamentarism and presidentialism literatures. Our model is composed of five hypotheses relying on an original dataset of 161 observations across 19 presidential countries of the Americas. Our main finding is that the inclusion of independents and/or technocrats impacts significantly on lowering cabinets’ size.Fil: Albala Young, Adrián Nicolás. Universidade do Brasília; BrasilFil: Clerici, Paula Andrea. Universidad Torcuato Di Tella. Departamento de Cs.politica y Estudios Internacionales. Prog.de Estudios Electorales y Legislativos; ArgentinaFil: Olivares, Alejandro. Universidad Mayor.; Chile2023info:ar-repo/semantics/conjuntoDeDatosv1.0info:eu-repo/semantics/dataSetapplication/octet-streamhttp://hdl.handle.net/11336/199771Albala Young, Adrián Nicolás; Clerici, Paula Andrea; Olivares, Alejandro; (2023): Dataset Determinants of Cabinet Size in Presidential Systems. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/199771CONICET DigitalCONICETenginfo:eu-repo/grantAgreement//info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:08:52Zoai:ri.conicet.gov.ar:11336/199771instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:08:52.52CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dataset Determinants of Cabinet Size in Presidential Systems
title Dataset Determinants of Cabinet Size in Presidential Systems
spellingShingle Dataset Determinants of Cabinet Size in Presidential Systems
Albala Young, Adrián Nicolás
title_short Dataset Determinants of Cabinet Size in Presidential Systems
title_full Dataset Determinants of Cabinet Size in Presidential Systems
title_fullStr Dataset Determinants of Cabinet Size in Presidential Systems
title_full_unstemmed Dataset Determinants of Cabinet Size in Presidential Systems
title_sort Dataset Determinants of Cabinet Size in Presidential Systems
dc.creator.none.fl_str_mv Albala Young, Adrián Nicolás
Clerici, Paula Andrea
Olivares, Alejandro
author Albala Young, Adrián Nicolás
author_facet Albala Young, Adrián Nicolás
Clerici, Paula Andrea
Olivares, Alejandro
author_role author
author2 Clerici, Paula Andrea
Olivares, Alejandro
author2_role author
author
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.6
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The composition of cabinets under presidential regimes has constituted one of the top topics of the literature in political science in recent years. However, nothing has been said about the proper size of those cabinets. That is, why some cabinets are 37 ministers large when other is formed by just 13 members? We carry on a theory of cabinet size under presidential regimes, using insights from both parliamentarism and presidentialism literatures. Our model is composed of five hypotheses relying on an original dataset of 161 observations across 19 presidential countries of the Americas. Our main finding is that the inclusion of independents and/or technocrats impacts significantly on lowering cabinets’ size.
Fil: Albala Young, Adrián Nicolás. Universidade do Brasília; Brasil
Fil: Clerici, Paula Andrea. Universidad Torcuato Di Tella. Departamento de Cs.politica y Estudios Internacionales. Prog.de Estudios Electorales y Legislativos; Argentina
Fil: Olivares, Alejandro. Universidad Mayor.; Chile
description The composition of cabinets under presidential regimes has constituted one of the top topics of the literature in political science in recent years. However, nothing has been said about the proper size of those cabinets. That is, why some cabinets are 37 ministers large when other is formed by just 13 members? We carry on a theory of cabinet size under presidential regimes, using insights from both parliamentarism and presidentialism literatures. Our model is composed of five hypotheses relying on an original dataset of 161 observations across 19 presidential countries of the Americas. Our main finding is that the inclusion of independents and/or technocrats impacts significantly on lowering cabinets’ size.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:ar-repo/semantics/conjuntoDeDatos
v1.0
info:eu-repo/semantics/dataSet
format dataSet
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/199771
Albala Young, Adrián Nicolás; Clerici, Paula Andrea; Olivares, Alejandro; (2023): Dataset Determinants of Cabinet Size in Presidential Systems. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/199771
CONICET Digital
CONICET
url http://hdl.handle.net/11336/199771
identifier_str_mv Albala Young, Adrián Nicolás; Clerici, Paula Andrea; Olivares, Alejandro; (2023): Dataset Determinants of Cabinet Size in Presidential Systems. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/199771
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement//
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/octet-stream
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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