An exact additive decomposition of the weighted arithmetic mean
Thomas von Brasch (),
Håkon Grini (),
Magnus Berglund Johnsen () and
Trond Christian Vigtel ()
Additional contact information
Trond Christian Vigtel: Statistics Norway, https://www.ssb.no/en/forskning/ansatte
Discussion Papers from Statistics Norway, Research Department
Abstract:
The weighted arithmetic mean is used in a wide variety of applications. An infinite number of possible decompositions of the weighted mean are available, and it is therefore an open question which of the possible decompositions should be applied. In this paper, we derive a decomposition of the weighted mean that is rooted in functional analysis. 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 2020Q1 to 2021Q1 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 decomposition and the Bennet decomposition is substantial, and for some industries, the compositional effects are of opposite signs.
Keywords: Weighted Arithmetic Mean; Decomposition; Index Theory (search for similar items in EconPapers)
JEL-codes: C43 J21 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2021-09
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ssb.no/en/forskning/discussion-papers/ ... 8047?_ts=175daeaee98 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ssb:dispap:944
Ordering information: This working paper can be ordered from
https://www.ssb.no/e ... the-unit-value-index
Access Statistics for this paper
More papers in Discussion Papers from Statistics Norway, Research Department P.O.Box 8131 Dep, N-0033 Oslo, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by L Maasø ().