A Two-Stage Bennet Decomposition of the Change in the Weighted Arithmetic Mean

Pub Date : 2023-03-01 DOI:10.2478/jos-2023-0006
Thomas von Brasch, Håkon S. Grini, Magnus Berglund Johnsen, T. Vigtel
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Abstract

Abstract The weighted arithmetic mean is used in a wide variety of applications. An infinite number of possible decompositions of the change in the weighted mean are available, and it is therefore an open question which of the possible decompositions should be applied. In this article, we derive a decomposition of the change in the weighted mean based on a two-stage Bennet decomposition. Our proposed decomposition is easy to employ and interpret, and we show that it satisfies the difference counterpart to the index number time reversal test. We illustrate the framework by decomposing aggregate earnings growth from 2020Q4 to 2021Q4 in Norway and compare it with some of the main decompositions proposed in the literature. We find that the wedge between the identified compositional effects from the proposed two-stage Bennet decomposition and the one-stage Bennet decomposition is substantial, and for some industries, the compositional effects have opposite signs.
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加权算术平均值变化的两阶段Bennet分解
摘要加权算术平均值的应用十分广泛。对于加权平均值的变化,有无数种可能的分解方法,因此,应该应用哪一种可能的分解方法是一个悬而未决的问题。在本文中,我们推导了基于两阶段Bennet分解的加权平均值变化的分解。我们提出的分解易于使用和解释,并且我们证明它满足索引数时间反转检验的差异对应项。我们通过分解挪威从2020Q4到2021Q4的总收入增长来说明该框架,并将其与文献中提出的一些主要分解进行比较。我们发现,从两阶段Bennet分解和一阶段Bennet分解中识别的构成效应之间存在很大的楔子,并且对于某些行业,构成效应具有相反的迹象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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