Measuring Education Inequalities: Concentration and Dispersion-Based Approach-Lessons from Kuznets Curve in MENA Region-
Abstract
Although the quantity of education is widely used to measure the economical and social performances of educative
systems, only a few works have addressed the issue of equity in education. In this work, we have calculated two
measures of inequality in education based on Barro and Lee’s (2010) data: the Gini index of education and the
standard deviation of schooling. The sample comprises 15 countries from the MENA region over the period
1950-2010. We used hierarchical clustering to control for the heterogeneity of the sample and identify the existence
of cluster of similar value. We applied the Kuznets curve of education over the countries of the region. The findings
show a decline in the Gini index within all the participating countries, for men and women and also for all age
groups. The results also indicate that the education distribution was more unequal in the middle-income countries
than in the higher-income countries in 2010, although they had almost the same level in 1970. The results suggested
that the shape of the Kuznets curve depends basically on the measure used to approximate the inequality. Indeed, the
Kuznets hypothesis is emphasized once we use the standard deviation of schooling. The Gini index, for its part, has
maintained a significant negative relationship within the average number of years of the study.
systems, only a few works have addressed the issue of equity in education. In this work, we have calculated two
measures of inequality in education based on Barro and Lee’s (2010) data: the Gini index of education and the
standard deviation of schooling. The sample comprises 15 countries from the MENA region over the period
1950-2010. We used hierarchical clustering to control for the heterogeneity of the sample and identify the existence
of cluster of similar value. We applied the Kuznets curve of education over the countries of the region. The findings
show a decline in the Gini index within all the participating countries, for men and women and also for all age
groups. The results also indicate that the education distribution was more unequal in the middle-income countries
than in the higher-income countries in 2010, although they had almost the same level in 1970. The results suggested
that the shape of the Kuznets curve depends basically on the measure used to approximate the inequality. Indeed, the
Kuznets hypothesis is emphasized once we use the standard deviation of schooling. The Gini index, for its part, has
maintained a significant negative relationship within the average number of years of the study.
Full Text:
PDFDOI: https://doi.org/10.5430/wje.v2n6p51
Copyright (c)
World Journal of Education
ISSN 1925-0746(Print) ISSN 1925-0754(Online)
Copyright © Sciedu Press
To make sure that you can receive messages from us, please add the 'Sciedu.ca' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.