This paper proposes to measure inequality in educational achievement by constructing a Gini index on educational attainment. It uses the proposed measure to analyze the relationship between inequality in world income and educational attainment (in terms of both the average attainment and the dispersion of attainment). Though theoretical considerations suggest a nonlinear relationship between these two measures of inequality, actual data indicate that there is a strong negative link between average years of education and measured income inequality. Multivariate regression analysis indicates that if the negative correlation between average educational attainment and the dispersion of educational attainment are taken into account, the relationship between income inequality and average years of schooling appears U-shaped, with a lower turning point at 6.5 years. Income inequality is also negatively related to per capita income and positively related to the capital/output ratio and government expenditure on education. The relative contribution of education to income inequality explains between 3 and 16 percent of the variance, though the fraction is higher and shows a rising trend in developed countries. Data sources and additional tables are appended. (Contains 65 references.) (SM).

This book challenges the conventional wisdom that greater schooling and skill improvement leads to higher wages, that income inequality falls with wider access to schooling, and that the Information Technology revolution will re-ignite worker pay. Indeed, the econometric results provide no evidence that the growth of skills or educational attainment has any statistically significant relation to earnings growth or that greater equality in schooling has led to a decline in income inequality. Results also indicate that computer investment is negatively related to earnings gains and positively associated with changes in both income inequality and the dispersion of worker skills. The findings reports here have direct relevance to ongoing policy debates on educational reform in the U.S.

Contemporary public policy assumes that the achievement gap between black and white students could be closed if only schools would do a better job. According to Richard Rothstein, "Closing the gaps between lower-class and middle-class children requires social and economic reform as well as school improvement. Unfortunately, the trend is to shift most of the burden to schools, as if they alone can eradicate poverty and inequality." In this book, Rothstein points the way toward social and economic reforms that would give all children a more equal chance to succeed in school. This book features: a summary of numerous studies linking school achievement to health care quality, nutrition, childrearing styles, housing stability, parental economic security, and more ; aA look at erroneous and misleading data that underlie commonplace claims that some schools "beat the demographic odds and therefore any school can close the achievement gap if only it adopted proper practices." ; and an analysis of how the over-emphasis of standardized tests in federal law obscures the true achievement gap and makes narrowing it more difficult.

This open access book focuses on trends in educational inequality using twenty years of grade 8 student data collected from 13 education systems by the IEA’s Trends in Mathematics and Science Study (TIMSS) between 1995 and 2015. While the overall positive association between family socioeconomic status (SES) and student achievement is well documented in the literature, the magnitude of this relationship is contingent on social contexts and is expected to vary by education system. Research on how such associations differ across societies and how the strength of these relationships has changed over time is limited. This study, therefore, addresses an important research and policy question by examining changes in the inequality of educational outcomes due to SES over this 20-year period, and also examines the extent to which the performance of students from disadvantaged backgrounds has improved over time in each education system. Education systems generally aim to narrow the achievement gap between low- and high-SES students and to improve the performance of disadvantaged students. However, the lack of quantifiable and comprehensible measures makes it difficult to assess and monitor the effect of such efforts. In this study, a novel measure of SES that is consistent across all TIMSS cycles allows students to be categorized into different socioeconomic groups. This measure of SES may also contribute to future research using TIMSS trend data. Readers will gain new insight into how educational inequality has changed in the education systems studied and how such change may relate to the more complex picture of macroeconomic changes in those societies.

As the incomes of affluent and poor families have diverged over the past three decades, so too has the educational performance of their children. But how exactly do the forces of rising inequality affect the educational attainment and life chances of low-income children? In Whither Opportunity? a distinguished team of economists, sociologists, and experts in social and education policy examines the corrosive effects of unequal family resources, disadvantaged neighborhoods, insecure labor markets, and worsening school conditions on K-12 education. This groundbreaking book illuminates the ways rising inequality is undermining one of the most important goals of public education—the ability of schools to provide children with an equal chance at academic and economic success. The most ambitious study of educational inequality to date, Whither Opportunity? analyzes how social and economic conditions surrounding schools affect school performance and children’s educational achievement. The book shows that from earliest childhood, parental investments in children’s learning affect reading, math, and other attainments later in life. Contributor Meredith Phillip finds that between birth and age six, wealthier children will have spent as many as 1,300 more hours than poor children on child enrichment activities such as music lessons, travel, and summer camp. Greg Duncan, George Farkas, and Katherine Magnuson demonstrate that a child from a poor family is two to four times as likely as a child from an affluent family to have classmates with low skills and behavior problems – attributes which have a negative effect on the learning of their fellow students. As a result of such disparities, contributor Sean Reardon finds that the gap between rich and poor children’s math and reading achievement scores is now much larger than it was fifty years ago. And such income-based gaps persist across the school years, as Martha Bailey and Sue Dynarski document in their chapter on the growing income-based gap in college completion. Whither Opportunity? also reveals the profound impact of environmental factors on children’s educational progress and schools’ functioning. Elizabeth Ananat, Anna Gassman-Pines, and Christina Gibson-Davis show that local job losses such as those caused by plant closings can lower the test scores of students with low socioeconomic status, even students whose parents have not lost their jobs. They find that community-wide stress is most likely the culprit. Analyzing the math achievement of elementary school children, Stephen Raudenbush, Marshall Jean, and Emily Art find that students learn less if they attend schools with high student turnover during the school year – a common occurrence in poor schools. And David Kirk and Robert Sampson show that teacher commitment, parental involvement, and student achievement in schools in high-crime neighborhoods all tend to be low. For generations of Americans, public education provided the springboard to upward mobility. This pioneering volume casts a stark light on the ways rising inequality may now be compromising schools’ functioning, and with it the promise of equal opportunity in America.

In this paper we propose to measure inequality of educational achievements by constructing a Gini index on educational attainments. We then use the proposed measure to analyse the relationship between inequality in incomes and educational achievements (in terms of both the average attainments and its concentration). Even if theoretical considerations suggest a non-linear relationship between these two measures of inequality, actual data indicate that average years of education have a stronger negative impact on measured income inequality. Multivariate regressions also prove that, once we take into account the negative correlation between average educational achievement and its dispersion, the relationship between income inequality and average years of schooling is U-shaped, with a lower turning point at 6.5 years. Income inequality is also negatively related to per capita income and positively related to capital/output ratio and government expenditure in education.

Equal access to education is a basic human right. But in many countries gaps in education between various groups are staggering. An education Gini index -- a new indicator for the distribution of human capital and welfare -- facilitates comparison of education inequality across countries and over time.