经济史中的“大数据”。
"Big data" in economic history.
作者信息
Gutmann Myron P, Merchant Emily Klancher, Roberts Evan
机构信息
Department of History and Institute of Behavioral Science, University of Colorado.
Science and Technology Studies, University of California, Davis.
出版信息
J Econ Hist. 2018 Mar;78(1):268-299. doi: 10.1017/S0022050718000177. Epub 2018 Apr 3.
Abstract
Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. This article examines two areas in which economic historians are already using big data - population and environment - discussing ways in which increased frequency of observation, denser samples, and smaller geographic units allow us to analyze the past with greater precision and often to track individuals, places, and phenomena across time. We also explore promising new sources of big data: organically created economic data, high resolution images, and textual corpora.
摘要
大数据对于经济史领域来说是一个令人兴奋的前景，长期以来，经济史一直依赖于获取、录入并清理有关过去的稀缺数字信息。本文考察了经济史学家已经在使用大数据的两个领域——人口与环境——讨论了观测频率的增加、更密集的样本以及更小的地理单元如何使我们能够更精确地分析过去，并且常常能够跨时间追踪个人、地点和现象。我们还探索了大数据有前景的新来源：有机生成的经济数据、高分辨率图像和文本语料库。
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