Aging & Social Change: Twelfth Interdisciplinary Conference

Abstract

Starting from a previous similar Italian study, the aim of this work is to identify at the European level the main determinants of protection and risk of increasing poverty in families where disabled old people are present. The study takes part in the SEreDIPE project funded by Horizon 2020 MSCA-IF-2019 (g.a.n.888102). 104 variables by nation (Austria, Finland, Germany, Italy, Netherlands, Poland, Romania, Spain) and three European macro-areas (North-Western and Central Europe, Southern Europe, Eastern Europe) were collected from four international databases: Eurostat, Health for All Europe, WHO, WDWB, from 1990 to the most available recent year. The Poverty Index was the dependent variable and all the other variables were the covariates. After a first selection of the covariates, Multivariable Linear Regression Models, with various checks to exclude collinearity bias and clustering effects across the European macro-areas, were applied to define the covariates influencing the Poverty Index (p<0.05) at the European level and by macro-areas. The results show two lists of variables influencing and not influencing at the European level the dependent variable. In particular, the percent of s 1-2 members families, and other variables related to public formal expenditure and services, reducing the Poverty Index. Socio-demographic variables, if in a severe deprivation condition, run to increase the Poverty index, including the high literacy rate. Additionally, for each macro area are identified what variables are statistically significant. The study underlines how the public offer a pillar for contrasting the poverty risk.

Presenters

Georgia Casanova
Researcher, Centre for Socio-Economic Research on Ageing, INRCA (IRCCS) - National Institute of Health and Science on Ageing, Ancona, Italy

Roberto Lillini
University of Milano-Bicocca