| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26715 |
| 来源ID | Working Paper 26715 |
| Technology and Big Data Are Changing Economics: Mining Text to Track Methods | |
| Janet Currie; Henrik Kleven; Esmée Zwiers | |
| 发表日期 | 2020-02-03 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can inspire new data collection. If history is any guide, some methods will stick and others will prove to be a flash in the pan. However, the larger trends towards demanding greater credibility and transparency from researchers in applied economics and a “collage” approach to assembling evidence will likely continue. |
| 主题 | Other ; History of Economic Thought ; Econometrics ; Public Economics ; Health, Education, and Welfare ; Labor Economics ; Industrial Organization |
| URL | https://www.nber.org/papers/w26715 |
| 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/584389 |
| 推荐引用方式 GB/T 7714 | Janet Currie,Henrik Kleven,Esmée Zwiers. Technology and Big Data Are Changing Economics: Mining Text to Track Methods. 2020. |
| 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 | ||
| w26715.pdf（495KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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