不平等
集合(抽象数据类型)
上下界
纵向研究
纵向数据
人口经济学
情感(语言学)
面板数据
利用
心理学
计量经济学
经济
人口学
社会学
计算机科学
统计
数学
计算机安全
沟通
数学分析
程序设计语言
标识
DOI:10.1080/00220388.2022.2113067
摘要
This paper examines the extent to which characteristics that are beyond the control of children affect their educational outcomes. This is a matter of particular interest because the distribution of educational opportunities will shape future outcomes in other realms. While time-invariant circumstances have already been examined in the inequality of opportunity (IOp) literature, the role of time-varying circumstances has not yet been addressed. For the first time, this paper provides both lower and upper-bound estimates of IOp on learning achievement and assesses the impact of time-varying circumstances on upper-bound measures. It exploits a very rich and unusual longitudinal data set, the Young Lives Study, focusing on a cohort of children that has been followed for fifteen years, surveyed for the first time when they were around a year old. The results suggest that educational IOp is sizable and time-varying circumstances do not have a major impact on upper-bound measures using panel data.
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