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Social capital I: measurement and associations with economic mobility
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 n...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352590/ https://www.ncbi.nlm.nih.gov/pubmed/35915342 http://dx.doi.org/10.1038/s41586-022-04996-4 |
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author | Chetty, Raj Jackson, Matthew O. Kuchler, Theresa Stroebel, Johannes Hendren, Nathaniel Fluegge, Robert B. Gong, Sara Gonzalez, Federico Grondin, Armelle Jacob, Matthew Johnston, Drew Koenen, Martin Laguna-Muggenburg, Eduardo Mudekereza, Florian Rutter, Tom Thor, Nicolaj Townsend, Wilbur Zhang, Ruby Bailey, Mike Barberá, Pablo Bhole, Monica Wernerfelt, Nils |
author_facet | Chetty, Raj Jackson, Matthew O. Kuchler, Theresa Stroebel, Johannes Hendren, Nathaniel Fluegge, Robert B. Gong, Sara Gonzalez, Federico Grondin, Armelle Jacob, Matthew Johnston, Drew Koenen, Martin Laguna-Muggenburg, Eduardo Mudekereza, Florian Rutter, Tom Thor, Nicolaj Townsend, Wilbur Zhang, Ruby Bailey, Mike Barberá, Pablo Bhole, Monica Wernerfelt, Nils |
author_sort | Chetty, Raj |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9352590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93525902022-08-06 Social capital I: measurement and associations with economic mobility Chetty, Raj Jackson, Matthew O. Kuchler, Theresa Stroebel, Johannes Hendren, Nathaniel Fluegge, Robert B. Gong, Sara Gonzalez, Federico Grondin, Armelle Jacob, Matthew Johnston, Drew Koenen, Martin Laguna-Muggenburg, Eduardo Mudekereza, Florian Rutter, Tom Thor, Nicolaj Townsend, Wilbur Zhang, Ruby Bailey, Mike Barberá, Pablo Bhole, Monica Wernerfelt, Nils Nature Article 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. Nature Publishing Group UK 2022-08-01 2022 /pmc/articles/PMC9352590/ /pubmed/35915342 http://dx.doi.org/10.1038/s41586-022-04996-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chetty, Raj Jackson, Matthew O. Kuchler, Theresa Stroebel, Johannes Hendren, Nathaniel Fluegge, Robert B. Gong, Sara Gonzalez, Federico Grondin, Armelle Jacob, Matthew Johnston, Drew Koenen, Martin Laguna-Muggenburg, Eduardo Mudekereza, Florian Rutter, Tom Thor, Nicolaj Townsend, Wilbur Zhang, Ruby Bailey, Mike Barberá, Pablo Bhole, Monica Wernerfelt, Nils Social capital I: measurement and associations with economic mobility |
title | Social capital I: measurement and associations with economic mobility |
title_full | Social capital I: measurement and associations with economic mobility |
title_fullStr | Social capital I: measurement and associations with economic mobility |
title_full_unstemmed | Social capital I: measurement and associations with economic mobility |
title_short | Social capital I: measurement and associations with economic mobility |
title_sort | social capital i: measurement and associations with economic mobility |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352590/ https://www.ncbi.nlm.nih.gov/pubmed/35915342 http://dx.doi.org/10.1038/s41586-022-04996-4 |
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