New Methods for Measuring and Analyzing Segregation (The Springer Series on Demographic Methods and Population Analysis)
| Author | : | |
| Rating | : | 4.97 (500 Votes) |
| Asin | : | 3319413023 |
| Format Type | : | paperback |
| Number of Pages | : | 334 Pages |
| Publish Date | : | 2013-06-01 |
| Language | : | English |
DESCRIPTION:
From the Back CoverThis book is open access under a CC BY-NC 2.5 license.
It then illustrates how one can use these models to quantitatively assess the extent to which segregation traces to impacts of group membership on residential attainments versus other factors such as group differences in income. Next it shows how segregation analysis can be extended by using multivariate attainment models to assess the impact of group membership (i.e., the level of segregation for a city) while including controls for other relevant individual characteristics (e.g., income, education, language, nativity, etc.). Finally, the book introduces refined versions of popular indices that are free of the vexing problem of upward bias. The book then shows how micro-level attainment models can be used to study macro-level variation in segregation; specifically, by estimating multi-level models of individual residential attainments to assess how the effect of group membership (i.e., segregation index scores) vary with city characteristics. It begins by placing all popular segregation indices in the “difference of group means” framework wherein index scores can be obtained as simple differences of group means on individual-level residential attainments scored from area racial composition. This unifies separate