| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17377 |
| DP17377 The Returns to Face-to-Face Interactions: Knowledge Spillovers in Silicon Valley | |
| David Atkin; Keith Chen; Anton Popov | |
| 发表日期 | 2022-06-10 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | The returns to face-to-face interactions are of central importance to understanding the determinants of agglomeration. However, the existing literature studying patterns of geographic proximity in patent citations or industrial co-location has struggled to disentangle the benefits of face-to-face interactions from other spatial spillovers. In this paper, we use highly granular smartphone geolocation data to measure face-to-face interactions (or meetings) between workers at different establishments in Silicon Valley. To study the degree to which knowledge flows result from such interactions, we explore the relationship between these meetings and the citations among the firms these workers belong to. As firms may organize meetings with those they wish to learn from, we isolate causal impacts of face-to-face meetings by instrumenting with the meetings between workers in adjacent firms that belong to unconnected industries. Our IV approach estimates substantial returns to face-to-face meetings with overidentification tests suggesting we are capturing the returns to serendipity that play a central role in the urban theories of Jane Jacobs. |
| 主题 | International Trade and Regional Economics |
| 关键词 | Knowledge spillovers Face-to-face interactions Serendipity Estimation of agglomeration economies |
| URL | https://cepr.org/publications/dp17377 |
| 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/546430 |
| 推荐引用方式 GB/T 7714 | David Atkin,Keith Chen,Anton Popov. DP17377 The Returns to Face-to-Face Interactions: Knowledge Spillovers in Silicon Valley. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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