Review of some statistical methods for constructing composite indicators
![Thumbnail](/xmlui/bitstream/handle/10234/187509/Jimenez_2020_Review.pdf.jpg?sequence=4&isAllowed=y)
View/ Open
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/8643
comunitat-uji-handle3:10234/8644
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Review of some statistical methods for constructing composite indicatorsDate
2020-02-04Publisher
Universidad de AlmeríaBibliographic citation
JIMÉNEZ FERNÁNDEZ, Eduardo; RUIZ MARTOS, María J. (2020). Review of some statistical methods for constructing composite indicators.Estudios de Economía Aplicada, v. 38, n. 1Type
info:eu-repo/semantics/articlePublisher version
http://ojs.ual.es/ojs/index.php/eea/article/view/3002Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
The methodology for the construction process of composite indicators is reviewed in a step-by-step approach ranging from the ex-ante definition of the latent variable that is intended to be measure, through the ... [+]
The methodology for the construction process of composite indicators is reviewed in a step-by-step approach ranging from the ex-ante definition of the latent variable that is intended to be measure, through the construction process of the composite indicators. We focus particularly on four aggregations methods in order analayze weighting and aggregation approach, Distance P_2, Principal Component Analysis, Data Envelopment Analysis and Mazziotta-Pareto Index. An empirical comparison among them is provided and the composite indices divergences are shown. [-]
Is part of
Estudios de Economía Aplicada (2020), v. 38, n. 1Rights
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- ECO_Articles [694]