REVIEW OF SOME STATISTICAL METHODS FOR CONSTRUCTING COMPOSITE INDICATORS

Authors

  • Eduardo Jimenez Fernandez Universitat Jaume I
  • María J. Ruiz Martos Universidad de Granada

DOI:

https://doi.org/10.25115/eea.v38i1.3002

Keywords:

Composite indicators, Weighting, Aggregation, DEA-BoD, PCA, Distance P_2, Mazziotta Pareto Index

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 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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Author Biographies

Eduardo Jimenez Fernandez, Universitat Jaume I

Departament d'Economia.

Assistant Professor

María J. Ruiz Martos, Universidad de Granada

Departamento de Teoría e Historia Económica

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Published

2020-02-04