{"title":"A New Data Set of Educational Inequality in the World, 1950-2010: Gini Index of Education by Age Group","authors":"Benaabdelaali Wail, Said Hanchane, A. Kamal","doi":"10.2139/ssrn.1895496","DOIUrl":null,"url":null,"abstract":"The research on educational inequality plays an essential role in characterizing the fairness and effectiveness of educational systems, and monitoring and evaluating processes of educational development. This paper introduces a new quinquennial data set of educational inequality of 146 countries, from 1950 to 2010, and it is the first to present a Gini index of education by 5-year age intervals and by sex for a broad panel. We use the Gini index of education as a measure of the distribution of years of schooling, with a more in-depth approach, compared to existing data sets (Castello and Domenech, 2002; Thomas et al., 2001, 2003; Checchi, 2004; Araujo et al., 2004; Lim and Tang, 2008; Foldvari and Van Leeuwen, 2010; Morrisson and Murtin, 2010; Meschi and Scervini, 2010; Castello, 2010a). We use data on educational attainment of Barro and Lee (2010) taking into consideration, for the first time, the over time changes on the duration of schooling cycles, in each country and for each age group. This approach can significantly improve the measurement of inequality in education by producing estimates of the Gini Index of Education more realistic and reliable especially when it comes to international comparisons. We made a decomposition of the overall educational inequality to measure the contribution of each component. The results show that (i) even though educational inequality has been declining for most countries during the last six decades, it is not occurring in a uniform manner because it depends on age group, gender and development level for each country or region. (ii) The data indicate the existence of the Education Kuznets Curve when we consider the standard deviation of schooling. (iii) It also suggests that the average years of schooling and the Gini index of education are negatively related.","PeriodicalId":355227,"journal":{"name":"Development Economics eJournal","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development Economics eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1895496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46
Abstract
The research on educational inequality plays an essential role in characterizing the fairness and effectiveness of educational systems, and monitoring and evaluating processes of educational development. This paper introduces a new quinquennial data set of educational inequality of 146 countries, from 1950 to 2010, and it is the first to present a Gini index of education by 5-year age intervals and by sex for a broad panel. We use the Gini index of education as a measure of the distribution of years of schooling, with a more in-depth approach, compared to existing data sets (Castello and Domenech, 2002; Thomas et al., 2001, 2003; Checchi, 2004; Araujo et al., 2004; Lim and Tang, 2008; Foldvari and Van Leeuwen, 2010; Morrisson and Murtin, 2010; Meschi and Scervini, 2010; Castello, 2010a). We use data on educational attainment of Barro and Lee (2010) taking into consideration, for the first time, the over time changes on the duration of schooling cycles, in each country and for each age group. This approach can significantly improve the measurement of inequality in education by producing estimates of the Gini Index of Education more realistic and reliable especially when it comes to international comparisons. We made a decomposition of the overall educational inequality to measure the contribution of each component. The results show that (i) even though educational inequality has been declining for most countries during the last six decades, it is not occurring in a uniform manner because it depends on age group, gender and development level for each country or region. (ii) The data indicate the existence of the Education Kuznets Curve when we consider the standard deviation of schooling. (iii) It also suggests that the average years of schooling and the Gini index of education are negatively related.
教育不平等研究对于表征教育制度的公平性和有效性、监测和评价教育发展过程具有重要作用。本文介绍了从1950年到2010年146个国家的教育不平等的新的五年数据集,它是第一个在广泛的面板上按5岁间隔和按性别给出教育基尼指数的数据。与现有数据集相比,我们使用教育基尼指数作为受教育年限分布的衡量标准,采用了更深入的方法(Castello和Domenech, 2002;Thomas et al., 2001,2003;Checchi, 2004;Araujo et al., 2004;Lim and Tang, 2008;Foldvari and Van Leeuwen, 2010;Morrisson and Murtin, 2010;Meschi and servini, 2010;城堡,2010)。我们使用Barro和Lee(2010)的受教育程度数据,首次考虑了每个国家和每个年龄组的教育周期持续时间的变化。这种方法可以显著改善对教育不平等的衡量,使基尼教育指数的估计更加现实和可靠,特别是在进行国际比较时。我们对整体教育不平等进行了分解,以衡量每个组成部分的贡献。结果表明:(1)尽管在过去60年里,大多数国家的教育不平等现象一直在下降,但由于每个国家或地区的年龄、性别和发展水平不同,这种不平等现象并不是统一发生的。(ii)当我们考虑上学的标准差时,数据表明教育库兹涅茨曲线的存在。(三)它还表明,平均受教育年限和基尼教育指数呈负相关。