Statistics (WP3)

Poverty and Social Exclusion in Europe as a Statistical Challenge

In WP 3 COPE will deal with the three challenges identified in section 1.2.2: We will provide (1) a multidimensional analysis of poverty and social exclusion in Europe (2) on the basis of micro data and (3) explain them by reference to their regional and national context.

Research in WP 3 is therefore split into two sub-objectives:

  • We provide a multidimensional overview of recent patterns of (income) poverty and social exclusion in the EU member states.
  • In this way we will also provide a quantitative basis for the analysis of the situation of the most vulnerable target groups (WP 7).

We describe the influence of regional and national contextual factors on poverty and social exclusion in Europe.

The research in WP 3 will be co-ordinated and conducted by CETRO. On the basis of data on income and living conditions in recent European micro data sets, COPE will analyse poverty and deprivation and the contextual factors shaping them. The most important data sets are the new EU Survey on Income and living conditions (EU-SILC), however the Labour Force Survey and the ESS will also be used. By doing so, it will be possible to analyse the distribution of income and other social conditions (especially health, education, housing conditions, employment opportunities and social participation) in Europe, the contextual factors explaining these inequalities and the situation of the most challenged social groups.

  • First we will analyse the structure of income, employment, health, education, and housing inequalities in Europe and the patterns of poverty and exclusion linked to these distributions. This analysis can also be broken down to different social groups (especially lone mothers, long-term unemployed, working poor and where possible migrants)
  • In a second step selected indicators for poverty and social exclusion will be explained by the national (and where possible regional) context, for example the employment opportunities, different household types, social security expenditure, qualification and occupational structure and the patterns of industrial relations. The contextual factors required are available in the REGIO data base of EUROSTAT and the ESPON data sets. On this basis, different multilevel analyses, especially multilevel mixed-effects linear regressions can be calculated (Heidenreich 2010).

These analyses will contribute to the empirical analysis of the multilevel governance analysis of minimum income schemes to deprived groups (WP 4, 5, 6) and of active inclusion policies on individuals (WP 7).