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dc.creatorALEJO,JAVIER
dc.creatorGABRIELLI,MARIA FLORENCIA
dc.creatorSOSA-ESCUDERO,WALTER
dc.date2014-04-01
dc.date.accessioned2019-05-03T14:02:38Z
dc.date.available2019-05-03T14:02:38Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-88702014000100003
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/89560
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.
dc.formattext/html
dc.languageen
dc.publisherILADES. Universidad Alberto Hurtado.
dc.relation10.4067/S0718-88702014000100003
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceRevista de análisis económico v.29 n.1 2014
dc.subjectUnconditional quantile regression
dc.subjectincome inequality
dc.subjecteducation
dc.subjectArgentina
dc.titleTHE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH


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