Socioeconomic Segregation, Campus Social Context, and Disparities in Bachelor's Degree Attainment

It is well established that students from different socioeconomic backgrounds attend different colleges, net of their academic preparation. An unintended consequence of these disparities is that in the aggregate, they enhance socioeconomic segregation across institutions of higher education, cultivating separate and distinct social environments that can influence students' outcomes. Using information on the academic careers of a nationally representative sample of U.S. high school students who entered college in the mid-2000s, matched with external information on the social context of each college, this study evaluates the extent of socioeconomic segregation by social context in higher education and its implications for socioeconomic inequality in bachelor's degree attainment. Results confirm that social context is highly consequential for inequality in student outcomes. First, disparities in social context are extensive, even after differences in demographics, skills, attitudes, and college characteristics are accounted for. Second, the social context of campus, as shaped by segregation, is a robust predictor of students' likelihood of obtaining a bachelor's degree. Finally, the degree attainment rates of all students are positively associated with higher concentrations of economic advantages on campus. Combined, these results imply that socioeconomic segregation across colleges exacerbates disparities in degree attainment by placing disadvantaged students in social environments that are least conducive to their academic success.

Incidencia de la segregación escolar por nivel socioeconómico en el rendimiento académico. Un estudio desde Perú

The objective of this research is to estimate the incidence of socioeconomic school segregation in the academic performance of students. For this purpose, data mining was carried out using the data of the Census Evaluation of Students (ECE) of the Ministry of Education of Peru, through Multilevel Models with three levels of analysis (region, school and student). The Hutchens' Square Root Index was used to estimate the magnitude of segregation in each school. The sample consisted of 502,521 2nd grade secondary students from 12,862 schools in the country. The results show that school segregation has a direct and measurable impact on performance in the three areas analyzed, and even helps to explain more than the average socioeconomic level of the school. Likewise, the concentration of students from families with lower socioeconomic levels in the school makes performance lower in the three areas; while the concentration of students from families with higher socioeconomic levels makes performance better, also in the three areas. This study provides solid evidence of how school socioeconomic segregation affects the efficiency of the educational system, as well as the equality of educational opportunities for all.

Segregation and Life Satisfaction

Our aim is to cast light on socioeconomic residential segregation effects on life satisfaction (LS). In order to test our hypothesis, we use survey data from Chile (Casen) for the years 2011 and 2013. We use the Duncan Index to measure segregation based on income at the municipality level for 324 municipalities. LS is obtained from the CASEN survey, which considers a question about self-reported well-being. Segregation’s impact upon LS is not clear at first glance. On one hand, there is evidence telling that segregation’s consequences are negative due to the spatial concentration of poverty and all the woes related to it. On the other hand, segregation would have positive effects because people may feel stress, unhappiness, and alienation when comparing themselves to better-off households. Additionally, there is previous evidence regarding the fact that people prefer to neighbor people of a similar socioeconomic background. Hence, an empirical test is needed. In order to implement it, we should deal with two problems, first, the survey limited statistical significance at the municipal level, hence we use the small area estimation (SAE) methodology to improve the estimations’ statistic properties, and second, the double causality between segregation and LS; to deal with the latter, we include lagged LS as a regressor. Our findings indicate that socioeconomic segregation has a positive effect on LS. This result is robust to different econometric specifications.

The University as a Source of Social Capital in Chile

This paper investigates the structure and composition of the social network formed on the campus of the Faculty of Economics and Business of Diego Portales University, Chile, exposing a series of characteristics that are aligned with similar research in the field of networks. We use a model of social networks formation in order to understand socioeconomic and academic factors that predict the formation of friendship between two students. Specifically, we test empirically our model, using students' administrative information. Of special interest is the impact of the length of stay of the students in the university, with which we refer to the years completed in the degree course, in the probability of establishing friendship ties where being socioeconomically different is a condition. The mechanism behind a result like this is the sense of belongingness that being part of the same institution may induce amongst students. By means of counterfactual simulations we found evidence in favor that passing through the university increases the probability of forming friendship networks, which can mean a kind of social capital, thus reducing socioeconomic segregation from the Chilean school system. Given the importance of this finding, we believe that policies that increase the sense of belongingness such as cultural events, leaderships programs, and community should be implemented on university campuses.

Differential Impact of School Segregation in the Performance of Native and Non-Native Students in Spain

There is evidence of the impact of school segregation on students’ academic achievement, but it is debated whether the extent of this impact is dependent on students’ socioeconomic status, or on their native or non-native condition. This research addresses the problem in Spain, seeking to determine how immigrant and socioeconomic segregation affect the academic achievement of native and non-native students. With this aim, the PISA study database was specially exploited by means of two-tier Multilevel Models, estimating school segregation through the Hutchens Square Root Index. Specifically, the study estimates the influence of school segregation on students’ academic achievement in the subjects of Mathematics, Language and Science. The results confirm that school socioeconomical and immigrant segregation affect students’ academic achievement differently. Whereas socioeconomic segregation negatively affects both groups in all three subjects, immigrant segregation affects non-native students more strongly. Thus, data shows school segregation on socioeconomic grounds is always significant, and always has a considerable impact on achievement, regardless of students’ national origin. School segregation reproduces and accentuates conditions of social injustice. To counter its harmful effects, it is necessary to act first and foremost on socioeconomic segregation, as this causes the most devastating effects in education, particularly for non-native students.

Rural-Urban Migration Pathways and Residential Segregation in the Helsinki Region

Migration and residential segregation are intrinsically linked. However, little attention has been given to internal migration and its relationship with socioeconomic segregation. In this study, we illustrate the pathways individuals take between rural and urban settings and examine the association between these pathways and segregation in the Helsinki region. We use register data from Statistics Finland and sequence analysis to illustrate the mobility patterns of two 1980s birth cohorts aged 7 to 37. The majority of Finnish rural-urban pathways are associated with either a childhood spent in an urban area or a move to an urban area in young adulthood. We show that an even larger majority of people living in Helsinki at age 37 spent their childhood there or in other urban environments. We find that internal migrants are positively selected for education and income. A childhood in the outer urban regions of a city reduces the probability of living in lowincome neighbourhoods when controlling for socioeconomic status and family structure. We found no association between rural childhood and living in poor neighbourhoods.