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Using Machine Learning for measuring democracy: A practitioners guide and a new updated dataset for 186 countries from 1919 to 2019
European Journal of Political Economy ( IF 2.343 ) Pub Date : 2021-05-17 , DOI: 10.1016/j.ejpoleco.2021.102047
Klaus Gründler , Tommy Krieger

We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016). Four improvements are particularly notable: First, we produce a continuous and a dichotomous version of the Machine Learning democracy indicator. Second, we calculate intervals that reflect the degree of measurement uncertainty. Third, we refine the conceptualization of the Machine Learning Index. Finally, we significantly expand the data coverage by providing democracy indices for 186 countries in the period from 1919 to 2019.



中文翻译:

使用机器学习衡量民主:从 1919 年到 2019 年 186 个国家的从业者指南和新的更新数据集

我们全面概述了衡量民主的文献,并对 Gründler 和 Krieger (2016) 的机器学习指标进行了广泛更新。四个改进特别值得注意:首先,我们生成了机器学习民主指标的连续和二分版本。其次,我们计算反映测量不确定度程度的区间。第三,我们完善了机器学习指数的概念。最后,我们通过提供 1919 年至 2019 年期间 186 个国家的民主指数显着扩大了数据覆盖范围。

更新日期:2021-05-17
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