The Distributive Effects of Education: an Unconditional Quantile Regression Approach

  • Javier Alejo Universidad Nacional de La Plata and CEDLAS
  • Maria Florencia Gabrielli Universidad Nacional de Cuyo and CONICET
  • Walter Sosa-Escudero Universidad de San Andrés and CONICET
Keywords: Unconditional quantile regression, income inequality, education, Argentina.

Abstract

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.
Published
2014-04-26
How to Cite
Alejo, J., Florencia Gabrielli, M., & Sosa-Escudero, W. (2014). The Distributive Effects of Education: an Unconditional Quantile Regression Approach. Economic Analysis Review, 29(1), 53-76. Retrieved from https://www.rae-ear.org/index.php/rae/article/view/400
Issue
Vol. 29 No. 1 (2014)
Section
Articles

Upon submission of an article, authors are asked to indicate their agreement to abide by an open-access license. The license permits any user to download, print out, extract, archive, and distribute the article, so long as appropriate credit is given to the authors of the work. The license ensures that your article will be as widely available as possible and that your article can be included in any scientific archive. Please read about the Creative Commons Attribution License before submitting your paper. 
Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 3.0 License