| Fecha: |
2021 |
| Descripción: |
25 pàg. |
| Resumen: |
Some have argued it is possible to infer different groups' contributions to ethnic residential segregation from their individual neighborhood preferences. From this perspective, natives tend to be more segregation-promoting than non-natives, since they prefer neighborhoods where they are the majority. It remains unclear, however, whether this holds when one evaluates their contributions to segregation within a dynamic perspective. Using register data from Statistics Sweden, I define and model ten different groups' residential behavior based on their ethnicity and family composition. I thereby simulate the residential mobility of the full population of Stockholm municipality residents from 1998 to 2012. Even though my results at the micro-level are consistent with previous studies, the simulation results show that foreign singles' mobility patterns are more segregation-promoting than any other groups, since this group shows a greater in-group feedback effect regarding choice of new neighborhoods, an effect that increases their flow from low-to-high segregated neighborhoods progressively. My results suggest that (1) integration initiatives would be more efficient if focused on this particular group and (2) a proper evaluation of micro-behaviors' implications for macro-patterns of segregation requires a dynamic approach accounting for groups' heterogeneous behaviors and their main interdependencies on shaping segregation over time. |
| Nota: |
Altres ajuts: Swedish Research Council 445-2013-7681 |
| Derechos: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Lengua: |
Anglès |
| Documento: |
Article ; recerca ; Versió publicada |
| Materia: |
Ethnic residential segregation ;
Residential segregation dynamics ;
Large-scale empirically-calibrated simulation models ;
Analytical sociology |
| Publicado en: |
Journal of Computational Social Science, Vol. 5 (2021) , p. 565-589, ISSN 2432-2725 |
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