| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23959 |
| 来源ID | Working Paper 23959 |
| Social Capital and Labor Market Networks | |
| Brian J. Asquith; Judith K. Hellerstein; Mark J. Kutzbach; David Neumark | |
| 发表日期 | 2017-10-23 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | We explore the links between social capital and labor market networks at the neighborhood level. We harness rich data taken from multiple sources, including matched employer-employee data with which we measure the strength of labor market networks, data on behavior such as voting patterns that have previously been tied to social capital, and new data – not previously used in the study of social capital – on the number and location of non-profit sector establishments at the neighborhood level. We use a machine learning algorithm to identify important potential social capital measures that best predict neighborhood-level variation in labor market networks. We find evidence suggesting that smaller and less centralized schools, and schools with fewer poor students, foster social capital that builds labor market networks, as does a larger Republican vote share. The presence of establishments in a number of non-profit oriented industries are identified as predictive of strong labor market networks, likely because they either provide public goods or facilitate social contacts. These industries include, for example, churches and other religious institutions, police departments, fire and rescue services including volunteer fire departments, country clubs, mayors’ offices, chamber music groups, hobby clubs, and museums. |
| 主题 | Labor Economics ; Unemployment and Immigration ; Regional and Urban Economics |
| URL | https://www.nber.org/papers/w23959 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/581632 |
| 推荐引用方式 GB/T 7714 | Brian J. Asquith,Judith K. Hellerstein,Mark J. Kutzbach,et al. Social Capital and Labor Market Networks. 2017. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w23959.pdf（681KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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