| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14304 |
| DP14304 Econometric Models of Network Formation | |
| Aureo de Paula | |
| 发表日期 | 2020-01-13 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | This article provides a selective review on the recent literature on econometric models of network formation. The survey starts with a brief exposition on basic concepts and tools for the statistical description of networks. I then offer a review of dyadic models, focussing on statistical models on pairs of nodes and describe several developments of interest to the econometrics literature. The article also presents a discussion of non- dyadic models where link formation might be influenced by the presence or absence of additional links, which themselves are subject to similar influences. This is related to the statistical literature on conditionally specified models and the econometrics of game theoretical models. I close with a (non-exhaustive) discussion of potential areas for further development. |
| 主题 | Industrial Organization |
| 关键词 | Network econometrics Dyadic models Strategic network formation models |
| URL | https://cepr.org/publications/dp14304 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/543195 |
| 推荐引用方式 GB/T 7714 | Aureo de Paula. DP14304 Econometric Models of Network Formation. 2020. |
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