Data and the Aggregate Economy
这篇综述探讨了如何将数据（数字化信息）纳入经典宏观经济学框架，比较了数据与思想、专利等概念，并展示了数据在创新、流程优化和匹配中的应用模型，适合对数据经济感兴趣的宏观经济学研究者。
Recent data technology innovations, such as artificial intelligence and machine learning, have transformed the production of knowledge and increased the importance of data. This review explores how data—digitized information—has been modeled within classic macroeconomic frameworks. It compares the economics of data to other concepts such as ideas, patents, and learning-by-doing. This paper also shows potential ways to model applications for data, including innovation, process optimization, and matching. Because this research area is nascent, much of the article is devoted to open questions and directions for future data economy research.