The distributive effects of education: an unconditional quantile regression approach
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.
|Date of creation:||2011|
|Date of revision:||2012|
|Publication status:||Published in ANALES DE LA ASOCIACION ARGENTINA DE ECONOMIA POLITICA 46 (2011): pp. 1-24|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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