| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23276 |
| 来源ID | Working Paper 23276 |
| Text as Data | |
| Matthew Gentzkow; Bryan T. Kelly; Matt Taddy | |
| 发表日期 | 2017-03-27 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | An ever increasing share of human interaction, communication, and culture is recorded as digital text. We provide an introduction to the use of text as an input to economic research. We discuss the features that make text different from other forms of data, offer a practical overview of relevant statistical methods, and survey a variety of applications. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w23276 |
| 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/580950 |
| 推荐引用方式 GB/T 7714 | Matthew Gentzkow,Bryan T. Kelly,Matt Taddy. Text as Data. 2017. |
| 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 | ||
| w23276.pdf（463KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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