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arXiv 2003.09276stat.MEecon.GNq-fin.EC
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核密度分解及其在碳社会成本中的应用

Kernel density decomposition with an application to the social cost of carbon

Richard S. J. Tol

摘要:

核密度是核函数的集合,核函数本身是密度,也可以是核密度。这是用来将内核分解成它的组成部分。比例相等的皮尔逊检验应用于分位数,以检验成分分布是否彼此不同。所提出的方法说明了碳的社会成本的荟萃分析。不同的贴现率导致显著不同的庇古税,但没有不同的增长率。估计数没有随时间变化。不同的作者提供了不同的估计数,但这些差异是微不足道的。核分解可以应用于许多其他领域的离散解释变量。

英文摘要:

A kernel density is an aggregate of kernel functions, which are itself densities and could be kernel densities. This is used to decompose a kernel into its constituent parts. Pearson's test for equality of proportions is applied to quantiles to test whether the component distributions differ from one another. The proposed methods are illustrated with a meta-analysis of the social cost of carbon. Different discount rates lead to significantly different Pigou taxes, but not different growth rates. Estimates have not varied over time. Different authors have contributed different estimates, but these differences are insignificant. Kernel decomposition can be applied in many other fields with discrete explanatory variables.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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