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 counterfactual decompositions tha...
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
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2011
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/170373 |
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I19-R120-10915-1703732024-09-20T04:08:47Z http://sedici.unlp.edu.ar/handle/10915/170373 The distributive effects of education: an unconditional quantile regression approach Alejo, Javier Gabrielli, María Florencia Sosa Escudero, Walter 2011-11 2011 2024-09-19T16:49:10Z en Ciencias Económicas 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 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. Facultad de Ciencias Económicas Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Económicas unconditional quantile regression income inequality education Argentina |
| spellingShingle |
Ciencias Económicas unconditional quantile regression income inequality education Argentina Alejo, Javier Gabrielli, María Florencia Sosa Escudero, Walter The distributive effects of education: an unconditional quantile regression approach |
| topic_facet |
Ciencias Económicas unconditional quantile regression income inequality education Argentina |
| 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 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. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Alejo, Javier Gabrielli, María Florencia Sosa Escudero, Walter |
| author_facet |
Alejo, Javier Gabrielli, María 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 |
| publishDate |
2011 |
| url |
http://sedici.unlp.edu.ar/handle/10915/170373 |
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