Indicadores multidimensionales de la calidad de vida en los países de la UE. Cambios en las ponderaciones
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Abstract
En los últimos años han proliferado los estudios empíricos de la calidad de
vida a partir de diferentes indicadores. El objetivo de este trabajo es construir
indicadores sintéticos que cuantifiquen la calidad de vida en los países de
la UE-27, con los datos de EUROSTAT para el año 2020. Los indicadores
individuales los agruparemos en 9 dimensiones utilizando la metodología de
Mazziota-Pareto (IMP) y esas dimensiones las sintetizaremos en un indicador
global suponiendo ponderaciones iguales. Para el cálculo de las ponderaciones
proponemos un método basado en las correlaciones entre las dimensiones,
resultando que las condiciones materiales tienen la ponderación más alta.
Estas nuevas ponderaciones modifican los indicadores de calidad de vida de
los países; sin embargo, no varían sustancialmente las posiciones de los países
en la comparativa entre ellos.
In recent years, empirical studies of quality of life based on different indicators have proliferated. The objective of this work is to build synthetic indicators that quantify the quality of life in the EU-27 countries, with EUROSTAT data for the year 2020. We will group the individual indicators into 9 dimensions using the Mazziota-Pareto (IMP) methodology and we will synthesize these dimensions in a global indicator assuming equal weightings. For the calculation of the weights, we propose a method based on the correlations between the dimensions, resulting in the material conditions having the highest weighting. These new weights modify the quality of life indicators of the countries; however, the positions of the countries in the comparison between them do not vary substantially.
In recent years, empirical studies of quality of life based on different indicators have proliferated. The objective of this work is to build synthetic indicators that quantify the quality of life in the EU-27 countries, with EUROSTAT data for the year 2020. We will group the individual indicators into 9 dimensions using the Mazziota-Pareto (IMP) methodology and we will synthesize these dimensions in a global indicator assuming equal weightings. For the calculation of the weights, we propose a method based on the correlations between the dimensions, resulting in the material conditions having the highest weighting. These new weights modify the quality of life indicators of the countries; however, the positions of the countries in the comparison between them do not vary substantially.







