A Measure of Segregation Based on Social Interactions
提出一个基于个体社交互动的隔离指数，满足个体层面分解且互动对象越隔离则个体越隔离，并用美国学校友谊网络和2000年人口普查街区数据分别测算校内种族隔离和城市居住隔离。
We develop an index of segregation based on two premises: (1) a measure of segregation should disaggregate to the level of individuals, and (2) an individual is more segregated the more segregated are the agents with whom she interacts. We present an index that satisfies (1) and (2) and that is based on agents' social interactions: the extent to which blacks interact with blacks, whites with whites, etc. We use the index to measure school and residential segregation. Using detailed data on friendship networks, we calculate levels of within-school racial segregation in a sample of U. S. schools. We also calculate residential segregation across major U. S. cities, using block-level data from the 2000 U. S. Census.