A decomposition method to evaluate the "paradox of progress", with evidence for Argentina

The ‘paradox of progess’ is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the ‘Mincer equation’ (that links wages and edcuation) and the heterogeneity in its returns, as captured by...

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Autores principales: Alejo, Javier, Gasparini, Leonardo Carlos, Montes Rojas, Gabriel, Sosa Escudero, Walter
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/169676
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spelling I19-R120-10915-1696762024-09-06T04:08:20Z http://sedici.unlp.edu.ar/handle/10915/169676 A decomposition method to evaluate the "paradox of progress", with evidence for Argentina Alejo, Javier Gasparini, Leonardo Carlos Montes Rojas, Gabriel Sosa Escudero, Walter 2021-11 2021 2024-09-05T14:06:51Z en Ciencias Económicas paradox of progress quantile regression inequality returns to education Argentina The ‘paradox of progess’ is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the ‘Mincer equation’ (that links wages and edcuation) and the heterogeneity in its returns, as captured by quantile regressions. We propose a joint least-squares / quantile regression statistical framework to derive a decomposition to evaluate the relative contribution of each explanation, based on a ‘functional derivative’ as in Firpo et al. (2009). We apply the proposed decomposition strategy to the case of Argentina. 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
paradox of progress
quantile regression
inequality
returns to education
Argentina
spellingShingle Ciencias Económicas
paradox of progress
quantile regression
inequality
returns to education
Argentina
Alejo, Javier
Gasparini, Leonardo Carlos
Montes Rojas, Gabriel
Sosa Escudero, Walter
A decomposition method to evaluate the "paradox of progress", with evidence for Argentina
topic_facet Ciencias Económicas
paradox of progress
quantile regression
inequality
returns to education
Argentina
description The ‘paradox of progess’ is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the ‘Mincer equation’ (that links wages and edcuation) and the heterogeneity in its returns, as captured by quantile regressions. We propose a joint least-squares / quantile regression statistical framework to derive a decomposition to evaluate the relative contribution of each explanation, based on a ‘functional derivative’ as in Firpo et al. (2009). We apply the proposed decomposition strategy to the case of Argentina.
format Objeto de conferencia
Objeto de conferencia
author Alejo, Javier
Gasparini, Leonardo Carlos
Montes Rojas, Gabriel
Sosa Escudero, Walter
author_facet Alejo, Javier
Gasparini, Leonardo Carlos
Montes Rojas, Gabriel
Sosa Escudero, Walter
author_sort Alejo, Javier
title A decomposition method to evaluate the "paradox of progress", with evidence for Argentina
title_short A decomposition method to evaluate the "paradox of progress", with evidence for Argentina
title_full A decomposition method to evaluate the "paradox of progress", with evidence for Argentina
title_fullStr A decomposition method to evaluate the "paradox of progress", with evidence for Argentina
title_full_unstemmed A decomposition method to evaluate the "paradox of progress", with evidence for Argentina
title_sort decomposition method to evaluate the "paradox of progress", with evidence for argentina
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/169676
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