The distributive effects of education: an unconditional quantile regression approach
AbstractWe 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 42933.
Date of creation: 2011
Date of revision: 2012
unconditional quantile regression; income inequality; education; Argentina;
Other versions of this item:
- Javier Alejo & María Florencia Gabrielli & Walter Sosa Escudero, 2011. "The distributive Effects of Education: An Unconditional Quantile Regression Approach," CEDLAS, Working Papers 0125, CEDLAS, Universidad Nacional de La Plata.
- D3 - Microeconomics - - Distribution
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
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