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dc.creatorAlejo, Javier
dc.creatorFlorencia Gabrielli, Maria
dc.creatorSosa-Escudero, Walter
dc.date2014-04-26
dc.date.accessioned2023-09-07T16:20:12Z
dc.date.available2023-09-07T16:20:12Z
dc.identifierhttps://www.rae-ear.org/index.php/rae/article/view/400
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/233553
dc.descriptionWe 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 counter- factual 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.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad Alberto Hurtado - Facultad de Economía y Negociosen-US
dc.relationhttps://www.rae-ear.org/index.php/rae/article/view/400/549
dc.sourceRevista de Análisis Económico ; Vol. 29 Núm. 1 (2014); 53-76es-ES
dc.sourceEconomic Analysis Review; Vol. 29 No. 1 (2014); 53-76en-US
dc.source0718-8870
dc.source0716-5927
dc.subjectUnconditional quantile regressionen-US
dc.subjectincome inequalityen-US
dc.subjecteducationen-US
dc.subjectArgentina.en-US
dc.titleThe Distributive Effects of Education: an Unconditional Quantile Regression Approachen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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