| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w19035 |
| 来源ID | Working Paper 19035 |
| The Data Revolution and Economic Analysis | |
| Liran Einav; Jonathan D. Levin | |
| 发表日期 | 2013-05-09 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | Many believe that "big data" will transform business, government and other aspects of the economy. In this article we discuss how new data may impact economic policy and economic research. Large-scale administrative datasets and proprietary private sector data can greatly improve the way we measure, track and describe economic activity. They also can enable novel research designs that allow researchers to trace the consequences of different events or policies. We outline some of the challenges in accessing and making use of these data. We also consider whether the big data predictive modeling tools that have emerged in statistics and computer science may prove useful in economics. |
| 主题 | Econometrics ; Estimation Methods ; Data Collection |
| URL | https://www.nber.org/papers/w19035 |
| 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/576709 |
| 推荐引用方式 GB/T 7714 | Liran Einav,Jonathan D. Levin. The Data Revolution and Economic Analysis. 2013. |
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