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Keeping things simple: why the Human Development Index should not diverge from its equal weights assumption

机译:保持简单:为什么人类发展指数不应该偏离其同等权重的假设

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摘要

Using a range of statistical criteria rooted in Information Theory we show that there is little justification for relaxing the equal weights assumption underlying the United Nation’s Human Development Index (HDI) even if the true HDI diverges significantly from this assumption. Put differently, the additional model complexity that unequal weights add to the HDI more than counteracts the improvement in goodness-of-fit. This suggests that, in some cases, there may be limited validity in increasing the complexity of a range of other composite sustainability indices.
机译:使用扎根于信息论的一系列统计标准,我们发现,放宽联合国人类发展指数(HDI)的等权重假设几乎没有道理,即使真正的HDI与该假设大相径庭。换句话说,不相等的权重给HDI带来的额外模型复杂性远远超过了拟合优度的提高。这表明,在某些情况下,增加一系列其他综合可持续性指数的复杂性的有效性可能有限。

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