社会联系
社会流动性
社会资本
社会经济地位
人口经济学
友谊
社会阶层
贫穷
经济流动性
社交网络(社会语言学)
金融资本
人力资本
心理学
经济
经济增长
社会学
人口学
社会心理学
政治学
人口
法学
社会化媒体
社会科学
市场经济
作者
Raj Chetty,Matthew O. Jackson,Theresa Kuchler,Johannes Stroebel,Nathaniel Hendren,Robert B. Fluegge,Sara Gong,Federico Zertuche González,Armelle Grondin,Matthew Jacob,Drew Johnston,Martin Koenen,Eduardo Laguna-Muggenburg,Florian Mudekereza,Tom Rutter,Nicolaj Thor,Wilbur Townsend,Ruby Zhang,Mike Bailey,Pablo Barberá
出处
期刊:Nature
[Nature Portfolio]
日期:2022-08-01
卷期号:608 (7921): 108-121
被引量:618
标识
DOI:10.1038/s41586-022-04996-4
摘要
Abstract Social capital—the strength of an individual’s social network and community—has been identified as a potential determinant of outcomes ranging from education to health 1–8 . However, efforts to understand what types of social capital matter for these outcomes have been hindered by a lack of social network data. Here, in the first of a pair of papers 9 , we use data on 21 billion friendships from Facebook to study social capital. We measure and analyse three types of social capital by ZIP (postal) code in the United States: (1) connectedness between different types of people, such as those with low versus high socioeconomic status (SES); (2) social cohesion, such as the extent of cliques in friendship networks; and (3) civic engagement, such as rates of volunteering. These measures vary substantially across areas, but are not highly correlated with each other. We demonstrate the importance of distinguishing these forms of social capital by analysing their associations with economic mobility across areas. The share of high-SES friends among individuals with low SES—which we term economic connectedness—is among the strongest predictors of upward income mobility identified to date 10,11 . Other social capital measures are not strongly associated with economic mobility. If children with low-SES parents were to grow up in counties with economic connectedness comparable to that of the average child with high-SES parents, their incomes in adulthood would increase by 20% on average. Differences in economic connectedness can explain well-known relationships between upward income mobility and racial segregation, poverty rates, and inequality 12–14 . To support further research and policy interventions, we publicly release privacy-protected statistics on social capital by ZIP code at https://www.socialcapital.org .
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