In recent years, the concept of social exclusion has received a renewed attention in scientific research, as well as in politics. In this contribution we propose a hierarchical Latent Class (LC) model for the analysis of differences and similarities about experiences and perceptions of social exclusion among European regions. Social exclusion is a situation that affects individuals, and derives from a multidimensional deprivation in several domains of life. In particular, we identify and define an economic, a social and an institutional dimension. The LCs, which structure the individuals with respect to a set of observed indicators, represent different typologies of social exclusion at individual level according to the three identified dimensions. The regional differences in the latent variable distribution are modeled following a nonparametric approach for the random effects. This multilevel extension leads to the identification of a typology of regions, allowing different social exclusion structures to stand out for different European areas. The hierarchical latent class approach proves to be profitable in investigating the relevance of different risk factors of social exclusion and their relationships, and in verifying whether, and to what extent, the same risks and disadvantages determine the same perception of marginalization and exclusion in different political, economic, social and cultural contexts. The analysis is carried out using the 56.1-2001 Eurobarometer Survey, which focused on poverty and social exclusion situations, from both a subjective and an objective point of view.
Quality & Quantity – Springer Journals
Published: Sep 8, 2011
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera