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The Distributive Effects of Education: An Unconditional Quantile Regression Approach

Javier Alejo (), Maria Florencia Gabrielli () and Walter Sosa-Escudero ()
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Maria Florencia Gabrielli: National University of Cuyo and CONICET
Walter Sosa-Escudero: University of San Andrés and CONICET

Authors registered in the RePEc Author Service: Walter Sosa Escudero ()

Revista de Analisis Economico – Economic Analysis Review, 2014, vol. 29, issue 1, 53-76

Abstract: We use recent quantile regression methods (UQR) to study the distributive effects of education in Argentina. Standard methods usually focus in mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counter-factual decompositions that requires several temporal observations. An empirical case shows the flexibility and usefulness of UQR methods. Our application for the case of Argentina shows that educations contributed positively to increased inequality in Argentina, mostly due 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: C21 I24 I31 D3 (search for similar items in EconPapers)
Date: 2014
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Related works:
Working Paper: The distributive effects of education: an unconditional quantile regression approach (2012) Downloads
Working Paper: The distributive Effects of Education: An Unconditional Quantile Regression Approach (2011) Downloads
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