Data and the Aggregate Economy

Laura L. Veldkamp, C. Chung
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引用次数: 25

Abstract

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. (JEL C80, D21, D83, E23, E24, J23)
数据与总体经济
最近的数据技术创新,如人工智能和机器学习,改变了知识的生产,提高了数据的重要性。本综述探讨了数据--数字化信息--是如何在经典宏观经济框架内建模的。它将数据经济学与思想、专利和边做边学等其他概念进行了比较。本文还展示了为数据应用建模的潜在方法,包括创新、流程优化和匹配。由于这一研究领域刚刚起步,文章的大部分篇幅都用于讨论未来数据经济研究的开放性问题和方向。(JEL C80, D21, D83, E23, E24, J23)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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