Quantifying uncertainty in segregation measurement

In the vast literature on segregation measurement, only a handful of papers attempt to address the issue of inference – computing confidence intervals for example for the index of dissimilarity and related measures. Quantifying uncertainty is important if we are to address basic questions about whether there have been genuine changes in segregation over time or between cities. For example,

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Urban Segregation and Inequality

This aim of this programme of research was to advance the measurement (Massey & Denton 1988; Galster & Cutsinger 2007) of residential segregation/inequality in Scotland, estimate its causes (Schelling 1971; Kuminoff & Timmins 2010) and consequences (Galster 2007), and provide comparisons (where possible) with England, Wales and USA. The UK has some of the best data resources in the world

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