The distributive effects of education: an unconditional quantile regression approach

Autores
Alejo, Javier; Gabrielli, María Florencia; Sosa Escudero, Walter
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counterfactual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings.
Facultad de Ciencias Económicas
Materia
Ciencias Económicas
unconditional quantile regression
income inequality
education
Argentina
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/170373
Acceder
id SEDICI_e51f7decbc7fcb4870a5af5e0e3a3989
oai_identifier_str oai:sedici.unlp.edu.ar:10915/170373
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling The distributive effects of education: an unconditional quantile regression approachAlejo, JavierGabrielli, María FlorenciaSosa Escudero, WalterCiencias Económicasunconditional quantile regressionincome inequalityeducationArgentinaWe use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counterfactual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings.Facultad de Ciencias Económicas2011-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/170373enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-99570-9-7info:eu-repo/semantics/altIdentifier/url/https://bd.aaep.org.ar/anales/works/works2011/Alejo_Gabrielli.pdfinfo:eu-repo/semantics/altIdentifier/issn/1852-0022info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:43:16Zoai:sedici.unlp.edu.ar:10915/170373Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:43:17.288SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The distributive effects of education: an unconditional quantile regression approach
title The distributive effects of education: an unconditional quantile regression approach
spellingShingle The distributive effects of education: an unconditional quantile regression approach
Alejo, Javier
Ciencias Económicas
unconditional quantile regression
income inequality
education
Argentina
title_short The distributive effects of education: an unconditional quantile regression approach
title_full The distributive effects of education: an unconditional quantile regression approach
title_fullStr The distributive effects of education: an unconditional quantile regression approach
title_full_unstemmed The distributive effects of education: an unconditional quantile regression approach
title_sort The distributive effects of education: an unconditional quantile regression approach
dc.creator.none.fl_str_mv Alejo, Javier
Gabrielli, María Florencia
Sosa Escudero, Walter
author Alejo, Javier
author_facet Alejo, Javier
Gabrielli, María Florencia
Sosa Escudero, Walter
author_role author
author2 Gabrielli, María Florencia
Sosa Escudero, Walter
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Económicas
unconditional quantile regression
income inequality
education
Argentina
topic Ciencias Económicas
unconditional quantile regression
income inequality
education
Argentina
dc.description.none.fl_txt_mv We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counterfactual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings.
Facultad de Ciencias Económicas
description We use recent unconditional quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counterfactual decompositions that require several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings.
publishDate 2011
dc.date.none.fl_str_mv 2011-11
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/170373
url http://sedici.unlp.edu.ar/handle/10915/170373
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-99570-9-7
info:eu-repo/semantics/altIdentifier/url/https://bd.aaep.org.ar/anales/works/works2011/Alejo_Gabrielli.pdf
info:eu-repo/semantics/altIdentifier/issn/1852-0022
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616301917503488
score 13.070432

Publicaciones similares