英文标题：
《Why we like the ECI+ algorithm》
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作者：
Andrea Gabrielli, Matthieu Cristelli, Dario Mazzilli, Andrea
  Tacchella, Andrea Zaccaria, Luciano Pietronero
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最新提交年份：
2017
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英文摘要：
  Recently a measure for Economic Complexity named ECI+ has been proposed by Albeaik et al. We like the ECI+ algorithm because it is mathematically identical to the Fitness algorithm, the measure for Economic Complexity we introduced in 2012. We demonstrate that the mathematical structure of ECI+ is strictly equivalent to that of Fitness (up to normalization and rescaling). We then show how the claims of Albeaik et al. about the ability of Fitness to describe the Economic Complexity of a country are incorrect. Finally, we hypothesize how the wrong results reported by these authors could have been obtained by not iterating the algorithm.
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中文摘要：
最近，Albeik等人提出了一种经济复杂性度量方法，名为ECI+。我们喜欢ECI+算法，因为它在数学上与适应度算法（2012年引入的经济复杂性度量方法）相同。我们证明了ECI+的数学结构与适应度的数学结构是严格等价的（直至归一化和重缩放）。然后，我们展示了Albeik等人关于描述一个国家经济复杂性的适应能力的说法是如何不正确的。最后，我们假设这些作者报告的错误结果是如何通过不迭代该算法获得的。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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