THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH

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 t...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: ALEJO,JAVIER, GABRIELLI,MARIA FLORENCIA, SOSA-ESCUDERO,WALTER
Lenguaje:English
Publicado: ILADES. Universidad Alberto Hurtado. 2014
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-88702014000100003
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario: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.