A maximum entropy perspective of Pena’s synthetic indicators

Sudhanshu Mishra ()

MPRA Paper from University Library of Munich, Germany

Abstract: This paper uses mixed combinatorial-cum-real particle swarm method to obtain a heuristically optimal order in which the constituent variables can be arranged so as to yield some generalized maximum entropy synthetic indicators that represent the constituent variables in the best information-theoretic sense. It may help resolve the arbitrariness and indeterminacy of Pena’s method of construction of a synthetic indicator which at present is very sensitive to the order in which the constituent variables (whose linear aggregation yields the synthetic indicator) are arranged.

Keywords: Synthetic indicators; Composite indices; Pena’s distance; Mixed Combinatorial Particle swarm; Sharma-Mittal entropy; Rényi entropy; Tsallis entropy. Kaniadakis entropy; Abe entropy (search for similar items in EconPapers)
JEL-codes: C43 C44 C61 (search for similar items in EconPapers)
Date: 2012-04-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/37797/1/MPRA_paper_37797.pdf original version (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:pra:mprapa:37797

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().