Quality of Life and Poverty: Measurement and Comparability

Author:

Molpeceres-Abella Mercedes1,García-Lapresta José Luis2

Affiliation:

1. Departamento de Economía Aplicada, Universidad de Valladolid, Avda. Valle de Esgueva 6, 47011 Valladolid, Spain

2. PRESAD Research Group, BORDA Research Unit, IMUVA, Departamento de Economía Aplicada, Universidad de Valladolid, Avda. Valle de Esgueva 6, 47011 Valladolid, Spain

Abstract

In this paper, we analyze the correspondence among the rankings of the Spanish regions according to different measures of monetary poverty and quality of life, in 2012. To do that, the Spearman’s rank correlation coefficient is used. Different aggregation methods are applied to calculate the selected measures of poverty and quality of life. The monetary poverty measures aggregate the income gaps, while the quality of life measures aggregate a set of indicators dealing with ten different domains. In both cases, among other traditional aggregation procedures, the exponential mean is used because its properties are especially adequate in these contexts.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Does Artificial Intelligence Prevail in Poverty Measurement?;Journal of Physics: Conference Series;2020-04-01

2. The quest for the quality of life in european smart cities;Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age;2018-05-30

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