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...
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ILADES. Universidad Alberto Hurtado.
2014
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oai:scielo:S0718-887020140001000032014-05-13THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACHALEJO,JAVIERGABRIELLI,MARIA FLORENCIASOSA-ESCUDERO,WALTER Unconditional quantile regression income inequality education Argentina 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.info:eu-repo/semantics/openAccessILADES. Universidad Alberto Hurtado.Revista de análisis económico v.29 n.1 20142014-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-88702014000100003en10.4067/S0718-88702014000100003 |
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Scielo Chile |
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Scielo Chile |
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English |
topic |
Unconditional quantile regression income inequality education Argentina |
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Unconditional quantile regression income inequality education Argentina ALEJO,JAVIER GABRIELLI,MARIA FLORENCIA SOSA-ESCUDERO,WALTER THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH |
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. |
author |
ALEJO,JAVIER GABRIELLI,MARIA FLORENCIA SOSA-ESCUDERO,WALTER |
author_facet |
ALEJO,JAVIER GABRIELLI,MARIA FLORENCIA SOSA-ESCUDERO,WALTER |
author_sort |
ALEJO,JAVIER |
title |
THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH |
title_short |
THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH |
title_full |
THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH |
title_fullStr |
THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH |
title_full_unstemmed |
THE DISTRIBUTIVE EFFECTS OF EDUCATION: AN UNCONDITIONAL QUANTILE REGRESSION APPROACH |
title_sort |
distributive effects of education: an unconditional quantile regression approach |
publisher |
ILADES. Universidad Alberto Hurtado. |
publishDate |
2014 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-88702014000100003 |
work_keys_str_mv |
AT alejojavier thedistributiveeffectsofeducationanunconditionalquantileregressionapproach AT gabriellimariaflorencia thedistributiveeffectsofeducationanunconditionalquantileregressionapproach AT sosaescuderowalter thedistributiveeffectsofeducationanunconditionalquantileregressionapproach AT alejojavier distributiveeffectsofeducationanunconditionalquantileregressionapproach AT gabriellimariaflorencia distributiveeffectsofeducationanunconditionalquantileregressionapproach AT sosaescuderowalter distributiveeffectsofeducationanunconditionalquantileregressionapproach |
_version_ |
1714206211206807552 |