Spatial quantile regression in analysis of mortality

Abstract

<jats:p>The paper concerns mortality in Poland. The aim of the article is to identify factors determining average life length of men and women in 66 subregions of Poland. We use spatial quantile regression methodology which allows studying dependencies between variables in different quantiles of the response distribution. Moreover, this statistical tool is robust against violations of the classical regression assumption about the multidimensional distribution of error term.</jats:p>

Evaluation of the Healthy Life Years Indicator in Conditions of EU Digitalization

“…"Life expectancy at birth reflects the living conditions of the population and is a direct consequence of the socio-economic situation of the territory" [7, p. 61]. It should be borne in mind that modern researchers prefer the Healthy Life Years (HLY) indicator [8][9][10]. "Healthy Life Years (HLY) allow estimating the quality of the remaining years that a person is expected to live, in terms of being free of long-standing activity limitation" [8, p.1].…”