#9938. Comparing ethnic segregation across cities—measurement issues matter

September 2026publication date
Proposal available till 25-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Social Sciences (miscellaneous);
Geography, Planning and Development;
Economics and Econometrics;
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Abstract:
This paper investigates how important measurement issues such as the modifiable areal unit problem (MAUP), random unevenness and spatial autocorrelation affect cross-sectional studies of ethnic segregation. We use geocoded data for German cities to investigate the impact of these measurement problems on the average level of segregation and on the ranking of cities. The findings on the average level of residential segregation turn out to be rather robust. The ranking of cities is, however, sensitive to the assumptions regarding reallocation of population across neighbourhoods that the use of different segregation measures involves.
Keywords:
Cities; Ethnic segregation; J15; J61; MAUP; R23; Random segregation; Spatial autocorrelation

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