Discussion: Segregation Indices and Their Functional Inputs

Grannis, Rick

doi:10.1111/1467-9531.00111

Cited by 50 publications

(37 citation statements)

References 19 publications

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“…There have been major advancements in the methods available for comparative segregation analysis in the last decade (for reviews, see Grannis 2002;Reardon 2006;Peach 2009;Holloway, Wright, and Ellis 2012). Before discussing the methods adopted in our study, a few words should be said about the main strands of research on segregation patterns; two in particular stand out (Simpson and Peach 2009;Holloway, Wright, and Ellis 2012): (1) the index-based approach, which dates back to the 1940s, and (2) the more recent "raw data" approach, which highlights the extent to which different ethnic and racial (socioeconomic) groups share residential neighborhoods.…”

Section: Methodsmentioning

confidence: 99%

“…The former relies on single-number measures that summarize the level of segregation and intermixing in a given city or region-the term segregation thus applies only at the level of an entire city or region (Reardon 2006). Even though the indexes of dissimilarity and segregation are still most common, there are more than thirty other indexes in use (Grannis 2002) that relate to different dimensions of segregation (Massey and Denton 1988). The more recent raw data approach is mainly concerned with the extent to which particular groups share residential neighborhoods, rather than with the extent to which groups live apart from one another.…”

Section: Methodsmentioning

confidence: 99%

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Patterns of Socioeconomic Segregation in the Capital Cities of Fast-Track Reforming Postsocialist Countries

Marcińczak

Tammaru

Novák

et al. 2014

Annals of the Association of American Geographers

102

113

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Patterns of Socioeconomic Segregation in the Capital Cities of Fast-Track Reforming Postsocialist Countries

Marcińczak

Tammaru

Novák

et al. 2014

Annals of the Association of American Geographers

102

113

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“…The segregation literature has a similar baseline model based upon randomness in which residents are randomly distributed across the neighborhoods within a city (Grannis 2002;Massey and Denton 1993). Then, the observed distribution of households across the neighborhoods of the city is compared with this baseline to assess the degree of segregation.…”

Section: Baseline Modelsmentioning

confidence: 99%

A New Twist on an Old Approach: A Random-Interaction Approach for Estimating Rates of Inter-Group Interaction

2010

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There are numerous instances in which researchers wish to measure the rate of intra-or inter-group interactions (whether positive or negative). When computing such measures as rates there is great uncertainty regarding the appropriate denominator: we analytically illustrate how the choice of the denominator when calculating such rates is not trivial and that some existing strategies create a built-in relationship between the computed rate and the group composition within the entity. Another strand of prior work only focused on the relative occurrence of intra-versus inter-group events, which does not account for the important theoretical possibility that both types of events might increase in certain social contexts. Our approach provides an advance over these earlier strategies as it allows one to take into account the relative frequency of interaction between members of different groups, but then translates this into per capita rates. We also provide an empirical example using data on inter-and intra-group robbery and aggravated assault events for block groups in a section of the city of Los Angeles to illustrate how our procedure works and to illustrate how other approaches can lead to dramatically different conclusions.

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“…The lack of detailed information on the patterns and trends in segregation at a range of geographic scales is due to the fact that most existing studies rely primarily on aspatial measures of segregation—measures that were developed prior to the availability of geographical information system (GIS) software and that consequently do not fully account for spatial distributions of race and poverty (for discussion and exceptions, see Dawkins, 2006; Grannis, 2002; Reardon & O'Sullivan, 2004; White, 1983; Wong, 1997, 1999, 2004). Reliance on aspatial measures has two principal drawbacks: first, it ignores the proximity of census tracts to one another; and second, it results in segregation measures that are sensitive only to segregation at the (arbitrary) geographic scale of census tracts (or blocks, etc).…”

Section: Prior Research On Trends In Racial Residential Segregationmentioning

confidence: 99%

Race and space in the 1990s: Changes in the geographic scale of racial residential segregation, 1990–2000

Reardon

Farrell

Matthews

et al. 2009

Social Science Research

144

115

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We use newly developed methods of measuring spatial segregation across a range of spatial scales to assess changes in racial residential segregation patterns in the 100 largest U.S. metropolitan areas from 1990 to 2000. Our results point to three notable trends in segregation from 1990 to 2000: 1) Hispanic-white and Asian-white segregation levels increased at both micro- and macro-scales; 2) black-white segregation declined at a micro-scale, but was unchanged at a macro-scale; and 3) for all three racial groups and for almost all metropolitan areas, macro-scale segregation accounted for more of the total metropolitan area segregation in 2000 than in 1990. Our examination of the variation in these trends among the metropolitan areas suggests that Hispanic-white and Asian-white segregation changes have been driven largely by increases in macro-scale segregation resulting from the rapid growth of the Hispanic and Asian populations in central cities. The changes in black-white segregation, in contrast, appear to be driven by the continuation of a 30-year trend in declining micro-segregation, coupled with persistent and largely stable patterns of macro-segregation.

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Discussion: Segregation Indices and Their Functional Inputs

Cited by 50 publications

References 19 publications

Patterns of Socioeconomic Segregation in the Capital Cities of Fast-Track Reforming Postsocialist Countries

Patterns of Socioeconomic Segregation in the Capital Cities of Fast-Track Reforming Postsocialist Countries

A New Twist on an Old Approach: A Random-Interaction Approach for Estimating Rates of Inter-Group Interaction

Race and space in the 1990s: Changes in the geographic scale of racial residential segregation, 1990–2000

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