Measuring Segregation When Units are Small: A Parametric Approach
针对单位（如企业、教室）内个体数量少导致传统隔离指数有偏的问题，提出基于Beta混合分布的参数化方法，模拟和法国居住隔离应用表明新方法表现更优。
This article considers the issue of measuring segregation in a population of units that contain few individuals (e.g., establishments, classrooms). When units are small, the usual segregation indices, which are based on sample proportions, are biased. We propose a parametric solution: the probability that an individual within a given unit belongs to the minority is assumed to be distributed as a mixture of Beta distributions. The model can be estimated and indices deduced. Simulations show that this new method performs well compared to existing ones, even in the case of misspecification. An application to residential segregation in France according to parents’ nationalities is then undertaken. This article has online supplementary materials.