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, has there been a statistically significant fall in religious segregation in Northern Ireland, or is the apparent decline due to random variation? Is there a statistically significant different between segregation in Glasgow compared with Edinburgh, or is the difference due to white noise?

Papers associated with this research:
AQMeN research briefing 8, October 2015 – Duncan Lee, Jon Minton and Gwilym Pryce

Religious segregation in Belfast: detecting real change in patterns of population movement


Image: Flickr – Danny Fowler