Properties of some generalized means for positive sequences

Marco Corazza (), Giovanni Fasano (), Daniela Favaretto () and Silvio Giove ()
Additional contact information
Daniela Favaretto: Dept. of Management, Università Ca' Foscari Venice
Silvio Giove: Dept. of Economics, Università Ca' Foscari Venice

No 5, Working Papers from Venice School of Management - Department of Management, Università Ca' Foscari Venezia

Abstract: This paper proposes a simple procedure, in order to aggregate a finite number of real nonnegative values into a unique indicator. Possible applications of this tool can be found in social sciences, including demography, sociology, etc. In particular, the indicator may represent a generalized mean, to be used as an aggregate measure combining several inhomogeneous parameters. Observe that some alternatives to this approach, including complex multicriteria or multiobjective methods, are often discarded by stakeholders (say politicians, public administrators, managers, etc.), since the latters are typically keen on taking decisions based on a reduced number of parameters (possibly only one). Hence, administrators often show some reluctance to adopt those methods which provide multiple alternatives, e.g. a Pareto front, since this fact implies an additional process of selection.

Keywords: Aggregation of indicators; Ranking among measures; Mean weighted values; Concave problems (search for similar items in EconPapers)
JEL-codes: C44 C65 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2019-12
New Economics Papers: this item is included in nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.unive.it/web/fileadmin/user_upload/dip ... rs/2019/2019wp05.pdf First version, 2019 (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:vnm:wpdman:168

Access Statistics for this paper

More papers in Working Papers from Venice School of Management - Department of Management, Università Ca' Foscari Venezia Contact information at EDIRC.
Bibliographic data for series maintained by Daria Arkhipova ().