Dimensionality reduction of quality of life indicators

Andrea Jindrová and Julie Poláčková
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Andrea Jindrová: Katedra statistiky, Provozně ekonomická fakulta, Česká zemědělská univerzita, Kamýcká 129, 165 21 Praha 6 - Suchdol, Česká republika
Julie Poláčková: Katedra statistiky, Provozně ekonomická fakulta, Česká zemědělská univerzita, Kamýcká 129, 165 21 Praha 6 - Suchdol, Česká republika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2012, vol. 60, issue 7, 147-154

Abstract: Selecting indicators for assessing the quality of life at the regional level is not unambigous. Currently, there are no precisely defined indicators that would give comprehensive information about the quality of life on a local level. In this paper we focus on the determination (selection) of groups of indicators that can be interpreted, on the basis of studied literature, as factors characterizing the quality of life. Furthermore, on the application of methods to reduce the dimensionality of these indicators, from the source of the database CULS KROK, which provides statistics on the regional and districts level. To reduce the number of indicators and the subsequent creation of derived variables that capture the relationships between selected indicators multivariate statistical analysis methods, especially method of principal components and factor analysis were used. This paper also indicates the methodology grant project "Methodological Approaches to assess Subjective Aspects of the life quality in regions of the Czech Republic".

Keywords: quality of life; principal component analysis; dimensionality reduction; Economical indicators; Social and cultural indicators; Environmental indicators; SPSS (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2012060070147

DOI: 10.11118/actaun201260070147

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