12:00 - 13:00
Philipp Lersch (BIGSSS, Bremen) will give a talk.
13:00-14:00
Representatives from microm Germany presenting the new microm data.
Philipp Lersch
Passage or trap? Leaving deprived neighbourhoods in Germany
Abstract
Exposure to potentially negative neighbourhood effects in deprived areas depends heavily on the ability to relocate from deprived neighbourhoods to better-off areas. Which households can leave deprived neighbourhoods? Do households relocate to other deprived neighbourhoods or to better-off areas? These questions have received attention foremost in the US and UK, but not to the same degree in Germany. To close this research gap, the analysis makes use of the SOEP and the MICROM data set for neighbourhoods for the years 2000-2008. First, a measure to identify deprived neighbourhoods is constructed. Second, binary logistic regression models for the occurrence of relocations in deprived and non-deprived neighbourhoods are estimated. These models are enhanced allowing for differentiated neighbourhood outcomes in a multinomial logistic regression setting. The analysis shows that ethnic minorities are not to the same degree trapped in deprived neighbourhoods as in the US or UK. Income plays an important role in shaping outcomes of relocations, while age and health are important for the question whether households in deprived neighbourhoods relocate at all.