Review of some statistical methods for constructing composite indicators
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Review of some statistical methods for constructing composite indicatorsData de publicació
2020-02-04Editor
Universidad de AlmeríaCita bibliogràfica
JIMÉNEZ FERNÁNDEZ, Eduardo; RUIZ MARTOS, María J. (2020). Review of some statistical methods for constructing composite indicators.Estudios de Economía Aplicada, v. 38, n. 1Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://ojs.ual.es/ojs/index.php/eea/article/view/3002Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
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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. [-]
Publicat a
Estudios de Economía Aplicada (2020), v. 38, n. 1Drets d'accés
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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