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Policy Change Index: A simulated example
Weifeng Zhong; Julian TszKin Chan
发表日期2018-12-03
出版年2018
语种英语
摘要Abstract: In a recent research paper, we use the text of the People’s Daily to develop the Policy Change Index (PCI) for China, a machine-learning-based predictor of China’s policy changes. In this Quantitative Note, we provide an example in which both the text data and the change in priorities are simulated. We apply the PCI design to show that the algorithm can correctly identify the simulated change. This example allows the reader to understand and experiment with the PCI design without relying on the People’s Daily text. Read the full report at openrg.com. Source code of the simulated example
主题Economics ; Technology and Innovation
标签Artificial intelligence ; China ; Policy Change Index (PCI) ; technology
URLhttps://www.aei.org/articles/policy-change-index-a-simulated-example/
来源智库American Enterprise Institute (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/265053
推荐引用方式
GB/T 7714
Weifeng Zhong,Julian TszKin Chan. Policy Change Index: A simulated example. 2018.
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