Review of some statistical methods for constructing composite indicators
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Review of some statistical methods for constructing composite indicatorsFecha de publicación
2020-02-04Editor
Universidad de AlmeríaCita bibliográfica
JIMÉNEZ FERNÁNDEZ, Eduardo; RUIZ MARTOS, María J. (2020). Review of some statistical methods for constructing composite indicators.Estudios de Economía Aplicada, v. 38, n. 1Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ojs.ual.es/ojs/index.php/eea/article/view/3002Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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. [-]
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Estudios de Economía Aplicada (2020), v. 38, n. 1Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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