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Concerns about the quality of housing feature prominently in academic and policy discussion on housing, yet there is little agreement about how housing deprivation should be measured or monitored. In empirical studies, measures of housing deprivation are typically examined for one of two purposes—either to compare incidences of housing quality problems for different groups, which typically leads to an examination of performance of different measures of housing deprivation, or as dependent variables to examine competing theories about what explains cross-national variation in such problems, which typically ignores these measurement considerations. Our paper seeks to analyse measurement and theory jointly, focussing in particular on the EU's severe housing deprivation measure, and its subcomponents—overcrowding and housing conditions problems. In descriptive analysis, we show that the two components of the severe housing deprivation measure are weakly related and pattern differently across nations and that the aggregation rule of the main measure has a substantial influence on observed incidences of this problem. We subsequently construct multi-level regression-based models and demonstrate that the two components have quite different determinants. Our paper has implications for the measurement of severe housing deprivation in Europe, for theories that seek to account for differences in housing outcomes, and for policy that seeks to tackle housing deprivation problems. [ABSTRACT FROM AUTHOR]

In June 2010, European Union (EU) Heads of State and Government adopted a social inclusion target as part of the new ‘Europe 2020 Strategy’: to lift at least 20 million people in the EU from the risk of poverty and exclusion by 2020. One of the three indicators used to monitor progress towards this target is the EU indicator of severe material deprivation (MD). A main limitation of this indicator is the weak reliability of some of the items it is based on. For this reason, a thematic module on MD was included in the 2009 wave of the EU Statistics on Income and Living Conditions (EU-SILC) survey. This article assesses the 2009 EU-SILC MD data and proposes an analytical framework for developing robust EU MD indicators. It carries out a systematic item by item analysis at both EU and country levels to identify the MD items which satisfactorily meet suitability, validity, reliability and additivity criteria across the EU. This approach has resulted in a proposed 13-item MD indicator covering some key aspects of living conditions which are customary across the whole EU covering a broad range of basic (food, clothes, shoes, etc.) as well as social (Internet, regular leisure activities, etc.) necessities. [ABSTRACT FROM AUTHOR]