The social context of nearest neighbors shapes educational attainment regardless of class origin

无论出身阶级如何,邻里间的社会环境都会影响教育程度。

阅读:2

Abstract

We study the association between sociospatial neighborhood conditions throughout childhood and educational attainment in adulthood. Using unique longitudinal microdata for a medium-sized Swedish town, we geocode its population at the address level, 1939 to 1967, and link individuals to national registers, 1968 to 2015. Thus, we adopt a long-term perspective on the importance of nearby neighbors during a period when higher education expanded. Applying a method for estimating individual neighborhoods at the address level, we analyze the association between the geographically weighted social class of the nearest 6 to 100 childhood neighbors (ages 2 to 17), and the likelihood of obtaining a university degree by age 40, controlling for both family social class and school districts. We show that even when growing up in a town with relatively low economic inequality, the social class of the nearest same-age neighbors in childhood was associated with educational attainment, and that the associations were similar regardless of class origin. Growing up in low-class neighborhoods lowered educational attainment; growing up in high-class neighborhoods increased attainment. Social class and neighborhoods reinforced each other, implying that high-class children clustered with each other had much higher odds of obtaining a university degree than low-class children from low-class neighborhoods. Thus, even if all groups benefited from the great expansion of free higher education in Sweden (1960s to 1970s), the large inequalities between the classes and neighborhoods remained unchanged throughout the period. These findings show the importance of an advantageous background, both regarding the immediate family and the networks of nearby people of the same age.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。