Review of some statistical methods for constructing composite indicators

  1. Eduardo Jimenez Fernandez 1
  2. María J. Ruiz Martos 2
  1. 1 Universitat Jaume I
    info

    Universitat Jaume I

    Castelló de la Plana, España

    ROR https://ror.org/02ws1xc11

  2. 2 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Revista:
Estudios de economía aplicada

ISSN: 1133-3197 1697-5731

Año de publicación: 2020

Título del ejemplar: Challenges in the construction of composite indicators

Volumen: 38

Número: 1

Tipo: Artículo

DOI: 10.25115/EEA.V38I1.3002 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Estudios de economía aplicada

Resumen

La metodología para el proceso de construcción de indicadores compuestos se ha examinado a través de un enfoque gradual que va desde la definición de la variable latente que se pretende medir hasta el proceso de agregación. En particular, nos centramos en la comparación de cuatro métodos de agregación estadística respecto de sus enfoques de ponderación y agregación: Distancia P2, Análisis de Componentes Principales, Análisis de Envolvente de Datos e Índice de Mazziotta-Pareto. Adicionalmente, se proporciona una comparación empírica entre ellos y se examinan las divergencias de los indicadores compuestos.

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