The self-perceived high level of health quality of Europeans – spatial analysis of determinants

The aim of this article is to provide a quantification of the territorially varied relation between socioeconomic factors and share of people perceived their own health as good or very good in European countries in years 2005–2018. The preliminary data analysis shows that, to model health status at...

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Main Authors: Elżbieta Antczak, Katarzyna M. Miszczyńska
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Journal of Applied Economics
Subjects:
Online Access:http://dx.doi.org/10.1080/15140326.2020.1848308
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spelling doaj-50389e12b4d34877be62a49e3dcb11bb2021-01-04T17:35:57ZengTaylor & Francis GroupJournal of Applied Economics1514-03261667-67262020-01-0123174676410.1080/15140326.2020.18483081848308The self-perceived high level of health quality of Europeans – spatial analysis of determinantsElżbieta Antczak0Katarzyna M. Miszczyńska1University of LodzUniversity of LodzThe aim of this article is to provide a quantification of the territorially varied relation between socioeconomic factors and share of people perceived their own health as good or very good in European countries in years 2005–2018. The preliminary data analysis shows that, to model health status at the country level, it is necessary to consider the age structure of inhabitants, country specifics and spatial interactions. For the purpose of the research, several causes were identified depending on age category, e.g., crime rate, self-reported unmet needs for medical examination by main reason declared, households with access to the Internet at home, pure alcohol consumption, hospital beds and population by educational attainment level. To increase the explained variability of phenomena and emphasize country-specific differences in the phenomena, geographically weighted regression was applied.http://dx.doi.org/10.1080/15140326.2020.1848308self-perceived healthdifferent age categoriessocioeconomic factorseuropean countriesspatial analysisgeographically weighted regression
collection DOAJ
language English
format Article
sources DOAJ
author Elżbieta Antczak
Katarzyna M. Miszczyńska
spellingShingle Elżbieta Antczak
Katarzyna M. Miszczyńska
The self-perceived high level of health quality of Europeans – spatial analysis of determinants
Journal of Applied Economics
self-perceived health
different age categories
socioeconomic factors
european countries
spatial analysis
geographically weighted regression
author_facet Elżbieta Antczak
Katarzyna M. Miszczyńska
author_sort Elżbieta Antczak
title The self-perceived high level of health quality of Europeans – spatial analysis of determinants
title_short The self-perceived high level of health quality of Europeans – spatial analysis of determinants
title_full The self-perceived high level of health quality of Europeans – spatial analysis of determinants
title_fullStr The self-perceived high level of health quality of Europeans – spatial analysis of determinants
title_full_unstemmed The self-perceived high level of health quality of Europeans – spatial analysis of determinants
title_sort self-perceived high level of health quality of europeans – spatial analysis of determinants
publisher Taylor & Francis Group
series Journal of Applied Economics
issn 1514-0326
1667-6726
publishDate 2020-01-01
description The aim of this article is to provide a quantification of the territorially varied relation between socioeconomic factors and share of people perceived their own health as good or very good in European countries in years 2005–2018. The preliminary data analysis shows that, to model health status at the country level, it is necessary to consider the age structure of inhabitants, country specifics and spatial interactions. For the purpose of the research, several causes were identified depending on age category, e.g., crime rate, self-reported unmet needs for medical examination by main reason declared, households with access to the Internet at home, pure alcohol consumption, hospital beds and population by educational attainment level. To increase the explained variability of phenomena and emphasize country-specific differences in the phenomena, geographically weighted regression was applied.
topic self-perceived health
different age categories
socioeconomic factors
european countries
spatial analysis
geographically weighted regression
url http://dx.doi.org/10.1080/15140326.2020.1848308
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