大数据
数据科学
跟踪(心理语言学)
政府(语言学)
经济统计
经济数据
计算机科学
比例(比率)
度量(数据仓库)
经济模型
磁道(磁盘驱动器)
产业组织
经济
数据挖掘
宏观经济学
计量经济学
操作系统
物理
哲学
量子力学
语言学
作者
Liran Einav,Jonathan Levin
出处
期刊:Innovation Policy and the Economy
[The University of Chicago Press]
日期:2014-01-01
卷期号:14: 1-24
被引量:216
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 data sets and proprietary private sector data can greatly improve the way we measure, track, and describe economic activity. They can also 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.
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