Socioeconomic segregation between and within curriculum tracking

2021 ◽  
Vol 87 ◽  
pp. 102493
Author(s):  
María Paola Sevilla ◽  
Ernesto Treviño
Demography ◽  
2016 ◽  
Vol 53 (4) ◽  
pp. 1051-1084 ◽  
Author(s):  
Lincoln Quillian ◽  
Hugues Lagrange

2013 ◽  
Vol 21 ◽  
pp. 86 ◽  
Author(s):  
Natalia Krüger

This paper analyzes the impact of high school socioeconomic segregation on educational equity in Argentina. The presence of segregation means that students are unevenly distributed throughout the system, concentrating in certain schools according to their social origin. The aim is to assess whether this process can increase educational attainment inequality. Using the PISA 2009 database, multilevel models are estimated in order to examine the effects of schools` social composition on individual reading performance. The evidence supports the existence of significant compositional effects which help explain test score dispersion. This suggests that young people of low socioeconomic status face a double educational risk: i) an initial disadvantage related to their social and family background; and ii) a high probability of assisting a school with a vulnerable student population, where they may be exposed to negative peer effects. The findings support the need to consider the social composition of schools as a key educational policy factor, and the relevance of analyzing ways to promote social inclusion in the system.


2015 ◽  
Vol 117 (12) ◽  
pp. 1-52 ◽  
Author(s):  
Gregory Palardy ◽  
Russell Rumberger ◽  
Truman Butler

Background/Context The 1954 U.S. Supreme Court decision on Brown v. Board of Education concluded that segregated schools were inherently unequal and therefore unlawful. That decision was not based solely upon the notion that segregated black schools were inferior in terms of academic instruction, curricular rigor, resources, etc., but also on research that showed segregating black children had negative social-emotional and behavioral consequences. However, the vast majority of the research on school segregation over the past 50 years, has focused on its effects on academic achievement and opportunity to learn. As a result, little is known about the effects of school segregation on social-emotional and behavioral outcomes. This is a critical gap in the literature because other research indicates that school behaviors are as strong or stronger predictors of long-term educational, social, and employment outcomes as academic achievement. Objectives The purpose of this study is to examine the effects of three forms of school segregation—socioeconomic, ethnic/racial, and linguistic—on school behaviors (i.e., attendance, grade retention, and suspension) and academic performance (reading and math achievement test scores and GPA) in high school. The study also examines the degree to which each of three school mechanisms (school inputs, peer influences, and school practices) mediates the effects of segregation on student outcomes. Research Design The study uses survey data from the Educational Longitudinal Study of 2002 (ELS:02). A sequence of multilevel models are fit to the data to address the research objectives. Conclusions American high schools are highly segregated by race/ethnicity, socioeconomic status, and English language status. Racial/ethnic and socioeconomic segregation are strongly associated with school behaviors and academic performance. The negative effects of racial/ethnic and socioeconomic segregation on school behaviors and academic performance inordinately effect black, Hispanic, and low SES adolescents because they are far more likely to attend segregated schools. School practices that reduce disorder and disruption and emphasize academics strongly mediate of the effects of segregation as does having friends at school with an academic focus. Adopting positive behavioral practices to reduce behaviors that interfere with learning without increasing suspension and expulsion are likely most critical for ameliorating the effects of segregation. Reducing academic tracking is also recommended, given that it likely contributes to negative within-school peer influences among low SES and minority adolescents. However, greater integration is likely necessary to fully address the consequences of segregation.


2020 ◽  
pp. 265-280
Author(s):  
Tomoki Nakaya ◽  
Tomoya Hanibuchi

This chapter highlights the geographical aspects of health disparities in Japan at different levels, from the 47 prefectures nationally to the neighbourhood level. In the post-war period, Japan has successfully attained the longest life expectancy in the world. At the same time, it has substantially reduced geographical disparities among the prefectures. This indicates that reducing such disparities in living standards may also be related to improving the health of a country’s entire population. However, disparities of health have appeared among populations living in socially segmented areas in large neighbourhoods of metropolitan regions. Such neighbourhood-scale disparities in health are associated with a number of environmental characteristics of Japanese neighbourhoods reflecting socioeconomic segregation and development histories of residential areas. In the era of a super-aging society that contains the threat of re-widening social inequalities, Japan faces challenges to build health-supportive environments for tackling multi-scale disparities.


Author(s):  
Tomás Cox ◽  
Ricardo Hurtubia

Urban sprawl is a phenomenon observed in most cities around the globe and especially in Latin America, where it is associated to socioeconomic segregation. In the case of Chile, sprawl has been generally based on large real estate projects. Developers target their projects to different types of consumers, which translates into submarkets with a broad range of housing-unit’s characteristics, but also different location strategies. This heterogeneity has been analyzed and measured in the literature, but quantitative studies have used exogenous or sequential methods to identify submarkets, leading to potential bias in the segmentation. In this paper, we propose an econometric model to measure location drivers for different types of real estate projects that fills this gap. The modeling framework is based on discrete-choice and latent-class models, allowing us to simultaneously identify market segmentations, and their particular location choice preferences, without the need of arbitrary or ex-ante definitions of submarkets. The model is applied to the city of Santiago, Chile. The results reveal two clearly different approaches taken by developers to produce housing, with one submarket of “exclusive” and more sprawling projects, and another submarket of “massive” and more density driven projects. Location strategies are very different between submarkets, reproducing the socio-spatial segregation already observed in the consolidated city.


1975 ◽  
Vol 40 (6) ◽  
pp. 801 ◽  
Author(s):  
Brigitte Mach Erbe

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