NDLI: The Distributive Effects of Education : an Unconditional Quantile Regression Approach

Content Provider	Semantic Scholar
Author	Sosa, Walter Alejo, Javier Gabrielli, Maria Florencia
Copyright Year	2011
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 counterfactual 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. JEL Classification: C21, I24, I31, D3
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.econstor.eu/bitstream/10419/127636/1/cedlas-wp-125.pdf
Alternate Webpage(s)	http://sedici.unlp.edu.ar/bitstream/handle/10915/3707/Documento_completo.pdf?sequence=1
Alternate Webpage(s)	https://scielo.conicyt.cl/pdf/rae/v29n1/art03.pdf
Language	English
Access Restriction	Open
Subject Keyword	Counterfactual conditional Counterfactual definiteness Genetic Heterogeneity Quantile Social inequality
Content Type	Text
Resource Type	Article

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