THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH

dc.creator	ALEJO,JAVIER
dc.creator	GABRIELLI,MARIA FLORENCIA
dc.creator	SOSA-ESCUDERO,WALTER
dc.date	2014-04-01
dc.date.accessioned	2019-05-03T14:02:38Z
dc.date.available	2019-05-03T14:02:38Z
dc.identifier	https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-88702014000100003
dc.identifier.uri	http://revistaschilenas.uchile.cl/handle/2250/89560
dc.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 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.format	text/html
dc.language	en
dc.publisher	ILADES. Universidad Alberto Hurtado.
dc.relation	10.4067/S0718-88702014000100003
dc.rights	info:eu-repo/semantics/openAccess
dc.source	Revista de análisis económico v.29 n.1 2014
dc.subject	Unconditional quantile regression
dc.subject	income inequality
dc.subject	education
dc.subject	Argentina
dc.title	THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH