| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25266 |
| 来源ID | Working Paper 25266 |
| Measuring Technological Innovation over the Long Run | |
| Bryan Kelly; Dimitris Papanikolaou; Amit Seru; Matt Taddy | |
| 发表日期 | 2018-11-19 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | We use textual analysis of high-dimensional data from patent documents to create new indicators of technological innovation. We identify significant patents based on textual similarity of a given patent to previous and subsequent work: these patents are distinct from previous work but are related to subsequent innovations. Our measure of patent significance is predictive of future citations and correlates strongly with measures of market value. We identify breakthrough innovations as the most significant patents – those in the right tail of our measure – to construct indices of technological change at the aggregate, sectoral, and firm level. Our technology indices span two centuries (1840-2010) and cover innovation by private and public firms, as well as non-profit organizations and the US government. These indices capture the evolution of technological waves over a long time span and are strong predictors of productivity at the aggregate and sectoral level. |
| 主题 | Macroeconomics ; Consumption and Investment ; Business Cycles ; History ; Macroeconomic History ; Development and Growth ; Innovation and R& ; D ; Growth and Productivity |
| URL | https://www.nber.org/papers/w25266 |
| 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/582940 |
| 推荐引用方式 GB/T 7714 | Bryan Kelly,Dimitris Papanikolaou,Amit Seru,et al. Measuring Technological Innovation over the Long Run. 2018. |
| 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 | ||
| w25266.pdf（695KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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