Entropy-based benchmarking methods

Umed Temurshoev
Additional contact information
Umed Temurshoev: Groningen University
Authors registered in the RePEc Author Service: Umed Temursho

No GD-122, GGDC Research Memorandum from Groningen Growth and Development Centre, University of Groningen

Abstract: We argue that benchmarking sign-volatile series should be based on the principle of movement and sign preservation, which states that a bench-marked series should reproduce the movement and signs in the original series. We show that the widely used variants of Denton (1971) method and the growth preservation method of Causey and Trager (1981) may violate this principle, while its requirements are explicitly taken into account in the pro-posed entropy-based benchmarking methods. Our illustrative examples show that the entropy-based methods can be regarded as plausible competitors for current benchmarking methods, and maybe preferred in certain cases.

Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://irs.ub.rug.nl/ppn/344365190 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://irs.ub.rug.nl/ppn/344365190 [302 Found]--> https://irs.ub.rug.nl/ppn/344365190 [302 Found]--> https://www.rug.nl/research/portal/publications/pub(af2ab649-788b-4f2f-af53-476d599978ed).html [301 Moved Permanently]--> https://research.rug.nl/en/publications/pub(af2ab649-788b-4f2f-af53-476d599978ed).html)

Related works:
Journal Article: Entropy‐based benchmarking methods (2018)
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:gro:rugggd:gd-122

Access Statistics for this paper

More papers in GGDC Research Memorandum from Groningen Growth and Development Centre, University of Groningen Contact information at EDIRC.
Bibliographic data for series maintained by Hanneke Tamling ().