Poisson Indices of Segregation

A. Mele
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引用次数: 14

Abstract

Existing indices of residential segregation are based on a partition of the city in neighborhoods: given a spatial distribution of racial groups, the index measures different segregation levels for different partitions. I propose a spatial approach, which estimates segregation at the individual level and produces the entire spatial distribution of segregation. This method provides different rankings of cities in terms of segregation and new insights on the effect of segregation on socioeconomic outcomes. Using Census data and controlling for endogeneity using instrumental variables, I show that reduced form estimates of the impact of segregation on socioeconomic outcomes are not robust to the spatial approach.
偏析的泊松指数
现有的居住隔离指数是基于城市社区的划分:考虑到种族群体的空间分布,该指数衡量的是不同分区的不同隔离程度。我提出了一种空间方法,它在个人层面上估计隔离,并产生隔离的整个空间分布。这种方法提供了城市在隔离方面的不同排名,并对隔离对社会经济结果的影响提供了新的见解。使用人口普查数据并使用工具变量控制内生性,我表明隔离对社会经济结果影响的简化形式估计对空间方法并不稳健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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