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The distributive effects of education: an unconditional quantile regression approach

Javier Alejo (), Florencia Gabrielli and Walter Sosa Escudero ()

MPRA Paper from University Library of Munich, Germany

Abstract: We use recent unconditional quantile regression methods (UQR) to study the distributive eects 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 exibility 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.

Keywords: unconditional quantile regression; income inequality; education; Argentina (search for similar items in EconPapers)
JEL-codes: D3 I31 C2 (search for similar items in EconPapers)
Date: 2011, Revised 2012
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Published in ANALES DE LA ASOCIACION ARGENTINA DE ECONOMIA POLITICA 46 (2011): pp. 1-24

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Related works:
Journal Article: The Distributive Effects of Education: An Unconditional Quantile Regression Approach (2014) Downloads
Working Paper: The distributive Effects of Education: An Unconditional Quantile Regression Approach (2011) Downloads
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