| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w18470 |
| 来源ID | Working Paper 18470 |
| Germs, Social Networks and Growth | |
| Alessandra Fogli; Laura Veldkamp | |
| 发表日期 | 2012-10-18 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 摘要 | Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, where do these differences come from and how large are their effects? Using network analysis tools, we explore how different social network structures affect technology diffusion and thereby a country's rate of growth. The model also explains how different social networks may emerge endogenously in response to the prevalence of infectious disease. Initial differences in disease prevalence can produce different network structures, leading to divergent levels of income. We compare calibrated model predictions with data. The model and data agree that a one-standard-deviation increase in our index of network diffusion speed results in output growth that is 1/2% higher per year. |
| 主题 | Macroeconomics ; Development and Growth ; Development ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w18470 |
| 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/576144 |
| 推荐引用方式 GB/T 7714 | Alessandra Fogli,Laura Veldkamp. Germs, Social Networks and Growth. 2012. |
| 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 | ||
| w18470.pdf（679KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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