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Review of Some Statistical Methods for Constructing Composite Indicators.

dc.contributor.authorJiménez Fernández, Eduardo 
dc.contributor.authorRuiz Martos, María J.
dc.date.accessioned2024-02-07T10:19:34Z
dc.date.available2024-02-07T10:19:34Z
dc.date.issued2020-02-04
dc.identifier.citationStudies of Applied Economics vol. 38 (1)es_ES
dc.identifier.urihttps://hdl.handle.net/10481/88538
dc.description.abstractThe 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.es_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleReview of Some Statistical Methods for Constructing Composite Indicators.es_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.25115/eea.v38i1.3002
dc.type.hasVersionVoRes_ES


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