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Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin

Author

Listed:
  • Masías H., Víctor H.
  • Stier, Julia
  • Navarro R., Pilar
  • Valle, Mauricio A.
  • Laengle, Sigifredo
  • Vargas, Augusto A.
  • Crespo R., Fernando A.

Abstract

This paper examines the phenomenon of residential segregation in Berlin over time using a dynamic clustering analysis approach. Previous research has examined the phenomenon of residential segregation in Berlin at a high spatial and temporal aggregation and statically, i.e. not over time. We propose a methodology to investigate the existence of clusters of residential areas according to migration background, age group, gender, and socio-economic dimension over time. To this end, we have developed a sequential mixed methods approach that includes a multivariate kernel density estimation technique to estimate the density of subpopulations and a dynamic cluster analysis to discover spatial patterns of residential segregation over time (2009-2020). The dynamic analysis shows the emergence of clusters on the dimensions of migration background, age group, gender and socio-economic variables. We also identified a structural change in 2015, resulting in a new cluster in Berlin that reflects the changing distribution of subpopulations with a particular migratory background. Finally, we discuss the findings of this study with previous research and suggest possibilities for policy applications and future research using a dynamic clustering approach for analyzing changes in residential segregation at the city level.

Suggested Citation

  • Masías H., Víctor H. & Stier, Julia & Navarro R., Pilar & Valle, Mauricio A. & Laengle, Sigifredo & Vargas, Augusto A. & Crespo R., Fernando A., 2024. "Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(1), pages 1-41.
    • Handle: RePEc:zbw:espost:312941
    DOI: 10.1140/epjds/s13688-024-00455-4
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