“Chocolate city,vanilla suburbs:” Will the trend toward racially separate communities continue?

Almost a decade ago, the Kerner Commission warned that this country was moving toward two societies—one white and one black. Data on residential segregation indicate clear-cut boundaries for these two societies—large cities are becoming black but most suburban areas remain white. Detroit is a case in point and this led the 1976 Detroit Area Study to investigate the sources of racial residential segregation. Our approach was guided by three hypothesized causes of this segregation: (i) the economic status of blacks, (ii) the preference of blacks to be with their own kind, and (iii) the resistance of whites to residential integration. We developed several new measurement techniques and found that most evidence supported the third hypothesis. Blacks in the Detroit area can afford suburban housing and both blacks and whites are quite knowledgable about the housing market. Most black respondents expressed a preference for mixed neighborhoods and are willing to enter such areas. Whites, on the other hand, are reluctant to remain in neighborhoods where blacks are moving in and will not buy homes in already integrated areas. This last result has been overlooked by traditional measures of white attitudes toward residential integration but emerges clearly with the new measure.     

Marketization,occupational segregation,and gender earnings inequality in urban China

This article analyzes a large sample of the 2005 population mini-census data and prefecture-level statistics of China to investigate gender earnings inequality in the context of economic marketization, paying special attention to the changing role of occupational segregation in the process. We approximate marketization by employment sectors and also construct an index of marketization at the prefecture level. Results show that, despite the tremendous economic growth, marketization has exacerbated gender earnings inequality in urban China's labor markets. Gender earnings inequality is the smallest in government/public institutions, followed by public enterprises, and then private enterprises. The gender inequality also increases with the prefecture's level of marketization. Multilevel analyses show that occupational segregation plays an important role in affecting gender earnings inequality: the greater the occupational segregation, the more disadvantaged women are relative to men in earnings in a prefecture's labor market. Moreover, the impact of occupational segregation on gender earnings inequality increases with the prefectural level of marketization. These findings contribute to understanding the dynamics of gender earnings inequality and have important implications for policy to promote gender equality in urban China.     

Race,deprivation, and immigrant isolation: The spatial demography of air-toxic clusters in the continental United States

This article contributes to environmental inequality outcomes research on the spatial and demographic factors associated with cumulative air-toxic health risks at multiple geographic scales across the United States. It employs a rigorous spatial cluster analysis of census tract-level 2005 estimated lifetime cancer risk (LCR) of ambient air-toxic emissions from stationary (e.g., facility) and mobile (e.g., vehicular) sources to locate spatial clusters of air-toxic LCR risk in the continental United States. It then tests intersectional environmental inequality hypotheses on the predictors of tract presence in air-toxic LCR clusters with tract-level principal component factor measures of economic deprivation by race and immigrant status. Logistic regression analyses show that net of controls, isolated Latino immigrant-economic deprivation is the strongest positive demographic predictor of tract presence in air-toxic LCR clusters, followed by black-economic deprivation and isolated Asian/Pacific Islander immigrant-economic deprivation. Findings suggest scholarly and practical implications for future research, advocacy, and policy.     

Foreclosures and crime: A city-level analysis in Southern California of a dynamic process

Although a growing body of research has examined and found a positive relationship between neighborhood crime and home foreclosures, some research suggests this relationship may not hold in all cities. This study uses city-level data to assess the relationship between foreclosures and crime by estimating longitudinal models with lags for monthly foreclosure and crime data in 128 cities from 1996 to 2011 in Southern California. We test whether these effects are stronger in cities with a combination of high economic inequality and high economic segregation; and whether they are stronger in cities with high racial/ethnic heterogeneity and high racial segregation. One month, and cumulative three month, six month, and 12-month lags of foreclosures are found to increase city level crime for all crimes except motor vehicle theft. The effect of foreclosures on these crime types is stronger in cities with simultaneously high levels of inequality but low levels of economic segregation. The effect of foreclosures on aggravated assault, robbery, and burglary is stronger in cities with simultaneously high levels of racial heterogeneity and low levels of racial segregation. On the other hand, foreclosures had a stronger effect on larceny and motor vehicle theft when they occurred in a city with simultaneously high levels of racial heterogeneity and high levels of racial segregation. There is evidence that the foreclosure crisis had large scale impacts on cities, leading to higher crime rates in cities hit harder by foreclosures. Nonetheless, the economic and racial characteristics of the city altered this effect.     

Segregation, the concentration of poverty, and the life chances of individuals

We outline a theoretical model that identifies residential segregation as a primary structural cause of the geographic concentration of poverty in U.S. urban areas. From this theory we specify and estimate a multilevel equation that links minority poverty and segregation within metropolitan areas to the concentration of socioeconomic deprivation within neighborhoods. We then estimate a second set of multilevel equations that connect neighborhood poverty rates to individual-level outcomes commonly associated with the underclass: male joblessness, teenage motherhood, and single parenthood. Our results link economic and social structures at the metropolitan level to individual outcomes that operate to perpetuate poverty and lead to the creation of the underclass.     

Patterns of local segregation: Do they matter for neighborhood crime?

In this paper, we extend recent research on the spatial measurement of segregation and the spatial dynamics of urban crime by conceptualizing, measuring, and describing local segregation by race–ethnicity and economic status, and examining the linkages of these conditions with levels of neighborhood violent and property crime. The analyses are based on all 8895 census tracts within a sample of 86 large U.S. cities. We fit multilevel models of crime that incorporate measures of local segregation. The results reveal that, net of city-level and neighborhood characteristics, White–Black local segregation is associated with lower violent and property crime. In contrast, local segregation of low income from high income households is connected with higher crime, particularly neighborhood violence.     

Is immigrant neighborhood inequality less pronounced in suburban areas?

We investigate suburbanization and neighborhood inequality among 14 immigrant groups using census tract data from the 2008–2012 American Community Survey. Immigrant neighborhood inequality is defined here as the degree to which immigrants reside in neighborhoods that are poorer than the neighborhoods in which native whites reside. Using city and suburb Gini coefficients which reflect the distributions of groups across neighborhoods with varying poverty rates, we find that the immigrant-white gap is attenuated in the suburbs. This finding applies to most of the nativity groups and remains after accounting for metropolitan context, the segregation of poverty, and group-specific segregation levels, poverty rates, and acculturation characteristics. Despite reduced neighborhood inequality in the suburbs, large group differences persist. A few immigrant groups achieve residential parity or better vis-à-vis suburban whites while others experience high levels of neighborhood inequality and receive marginal residential returns on suburban location.     

Competing for jobs: Labor queues and gender sorting in the hiring process

While much research has documented the pattern and extent of sex segregation of workers once they are employed, few studies have addressed the pre-hire mechanisms that are posited to produce sex segregation in employment. While the notion of a labor queue—the rank order of the set of people that employers choose among—plays a prominent role in pre-hire accounts of job sex sorting mechanisms, few studies have examined the ways in which job candidates are sorted into labor queues. In this paper, we explore the mechanisms by which labor queues contribute to the gendering of jobs by studying the hiring process for all jobs at a call center. Being placed in a queue has a clear gendering effect on the hiring process: the sex distribution of applicants who are matched to queues and those who are rejected at this phase diverge, and among those assigned to queues, women are prevalent in queues for low pay, low status jobs. The screening process also contributes to the gendering of the population of hires at this firm. Females are more prevalent among hires than they are among candidates at initial queue assignment. Among high status jobs, however, males are more prevalent than females. Moreover, there are important wage implications associated with matching to queues. While there are large between-queue sex differences in the paid wages associated with allocation to queues, once allocated to queues the wage differences between male and female candidates are nil. Consequently, the roots of gender wage inequality in this setting lie in the initial sorting of candidates to labor queues.     

Neighborhoods, employment, and welfare use: Assessing the influence of neighborhood socioeconomic composition

We draw upon data from the Fragile Families and Child Well-Being Study to examine the effect of neighborhood socioeconomic composition on two key economic outcomes, and in doing so to test the validity of the index of concentration at the extremes (ICE) as a measure of neighborhood circumstances. Methodologically, we find that the index succinctly captures economic variation within neighborhoods in a way that avoids problems of colinearity that have characterized prior studies. Neighborhoods can be characterized as falling on a continuum ranging from concentrated disadvantage to concentrated advantage; the ICE measure does a good job capturing this variation and differentiating the neighborhood circumstances experienced by different groups. Substantively, we show that neighborhood economic circumstances are related to new mothers’ welfare use and employment, above and beyond their individual socioeconomic characteristics.     

Perceptions as the crucial link? The mediating role of neighborhood perceptions in the relationship between the neighborhood context and neighborhood cohesion

This study examines the effects of neighborhood racial in-group size, economic deprivation and the prevalence of crime on neighborhood cohesion among U.S. whites. We explore to what extent residents' perceptions of their neighborhood mediate these macro-micro relationships. We use a recent individual-level data set, the American Social Fabric Study (2012/2013), enriched with contextual-level data from the U.S. Census Bureau (2010) and employ multi-level structural equation models. We show that the racial in-group size is positively related to neighborhood cohesion and that neighborhood cohesion is lower in communities with a high crime rate. Individuals' perceptions of the racial in-group size partly mediate the relationship between the objective racial in-group size and neighborhood cohesion. Residents’ perceptions of unsafety from crime also appear to be a mediating factor, not only for the objective crime rate but also for the objective racial in-group size. This is in line with our idea that racial stereotypes link racial minorities to crime whereby neighborhoods with a large non-white population are perceived to be more unsafe. Residents of the same neighborhood differ in how they perceive the degree of economic decay of the neighborhood and this causes them to evaluate neighborhood cohesion differently, however perceptions of neighborhood economic decay do not explain the link between the objective neighborhood context and neighborhood cohesion.     

The design of a multilevel survey of children, families, and communities: The Los Angeles Family and Neighborhood Survey

In this paper, we describe the development and implementation of the multilevel sample design for the Los Angeles Family and Neighborhood Survey, a study of children, adults, families, and neighborhoods in Los Angeles County. This survey was designed to support multilevel analyses on a number of topics, including child development, residential mobility, and welfare reform. We describe the design of the baseline wave, highlighting the analytical and statistical issues that shaped the study. We also present the results of an in-depth statistical investigation of the survey’s ability to support multilevel analyses that was carried out as part of the study design. The results of this study provide important guideposts for future studies of neighborhoods and their effects on adults and children.     

Prismatic Metropolis: Race and Residential Segregation in the City of the Angels

Most major urban areas remain segregated by race, especially in terms of black segregation from whites. We replicate and extend the innovative approach developed by Farley and colleagues for understanding processes of racial residential segregation with data collected in Los Angeles. Using a large (N = 4025) multiracial sample of adults, we examine (1) actual and perceived differences in economic status, (2) mutual preference for same race neighbors, and (3) racial prejudice and discrimination as hypotheses for the persistence of residential segregation. With a systematic experimental design we gauge respondent openness to living in areas with varying proportions of black, white, Latino, or Asian neighbors. We find no support for actual or perceived cost of housing as a barrier to integration. Although all groups exhibit some degree of ethnocentric preference for same race neighbors, this tendency is strongest among whites rather than blacks and plays only a small role in perpetuating segregation. Blacks face the greatest hostility in the search for housing and are consensually recognized as most likely to face discrimination in the housing market. Racial minorities are more open to sharing residential space with whites than with other minorities. We find generally higher rates of openness to integration than Farley and colleagues found in their recent Detroit survey.     

The relationship between neighborhood racial concentration and verbal ability: An investigation using the institutional resources model

Relatively few studies examine the relationship between racial residential segregation and educational or cognitive outcomes. Using data from the National Longitudinal Study of Adolescent Health and the institutional resources model of neighborhood effects, I investigate one account of how macrostructural arrangements between race, neighborhood segregation, and school quality interact to produce inequalities in test scores. Consistent with the institutional resources model, results suggest that school quality varies across neighborhoods based, in part, on their degree of racial concentration. Indeed, school quality and other school characteristics mediate the relationship between racial concentration and verbal skills, particularly among black males. These findings have implications not only for inequalities in cognitive skills among blacks across residential space, but also between blacks and whites given high levels of residential segregation in the United States. In sum, findings illustrate yet another way in which residential segregation contributes to, and not merely reflects, racial inequalities.     

Sexual inequality in the workplace: An employer-specific analysis of pay differences

This paper reports an analysis of employer-specific sex differences in the processes governing the salary attainment of personnel of a large company. The two dominant theories of inequality both view discrimination as the operative cause of pay differences, but locate the structural source of discrimination at different points in the employer-employee exchange space. The wage discrimination hypothesis asserts that the economic disadvantage of women issues directly from the pay practices of employers, with women receiving “unequal pay for equal work.” The crowding, or employment segregation, hypothesis asserts that inequality issues from the employment practices of employers; disparities in the allocation of jobs and promotions results in segregation along sexual lines, with women relegated to lower-paying positions. The findings show that both wage discrimination and sexual segregation of the company's job and rank structures contribute to inequality, but that the latter is more important. The implications for the issue of discrimination are briefly discussed.     

Neighborhood resources, racial segregation, and economic mobility: Results from the Gautreaux program

This study uses the unique design of the Gautreaux residential mobility program to estimate the long-run impacts of placement neighborhood conditions on the AFDC receipt (N = 793) and employment levels (N = 1258) of low-income Black women. We find that women initially placed in neighborhoods with few Black residents and moderate to high neighborhood resources experienced significantly more time employed when compared with women placed in neighborhoods with higher concentrations of Blacks and a low level of resources. Women placed in neighborhoods with high levels of resources and low Black populations also spent significantly less time on welfare than women placed in highly Black segregated areas with low levels of resources.     

The persistence of white flight in middle-class suburbia

Scholars have continued to debate the extent to which white flight remains racially motivated or, in contrast, the result of socioeconomic concerns that proxy locations of minority residence. Using 1990–2010 census data, this study contributes to this debate by re-examining white flight in a sample of both poor and middle-class suburban neighborhoods. Findings fail to provide evidence in support of the racial proxy hypothesis. To the contrary, for neighborhoods with a larger non-white presence, white flight is instead more likely in middle-class as opposed to poorer neighborhoods. These results not only confirm the continued salience of race for white flight, but also suggest that racial white flight may be motivated to an even greater extent in middle-class, suburban neighborhoods. Theoretically, these findings point to the decoupling of economic and racial residential integration, as white flight may persist for groups even despite higher levels of socioeconomic attainment.     

Black people don't exercise in my neighborhood: Perceived racial composition and leisure-time physical activity among middle class blacks and whites

Using a sample of middle class blacks and whites living in urban and suburban areas, this article focuses on how perceptions of the racial composition of neighborhoods influence leisure-time physical activity. Using an ordinal representation of an underlying continuous indication of the perceived percentage of blacks and whites within an egocentric neighborhood, the results show that black men are significantly less likely to be physically active in neighborhoods perceived as predominately white. Alternatively, they are more likely to be physically active in neighborhoods perceived as racially diverse and predominately black. Conversely, for black women, white women, and white men, physical activity increases as the perception of one's neighborhood becomes increasingly white. Black women are significantly less likely to engage in physical activity in neighborhoods perceived as predominately black and urban. Drawing upon the intersectionality framework, I discuss how perceptions of criminalization and safety lead to different levels of leisure-time physical activity for middle class black women and men relative to their white middle class counterparts.     

Inequality in the family: The institutional aspects of women’s earning contribution

This paper examines the effect of employment-supportive policies and arrangements on women’s economic contribution to their family. Using samples of working-age couples in 21 countries we employ multilevel modeling to separate the effects of household and country-level variables on earnings. We distinguish two types of relevant contextual factors: those that support women’s employment while preserving their domestic roles and those that potentially reduce intra-family economic inequalities by allowing women to allocate more of their time to paid employment. The findings suggest that all employment-supportive policies and arrangements increase women’s relative contribution to the household income through their effect on female labor force participation. Among dual-earner families, however, higher rates of childcare facilities increase women’s contribution, while long maternity leave and part-time employment decrease it. These tendencies are more pronounced among mothers.     

Tract- and county-level income inequality and individual risk of obesity in the United States

ObjectivesWe tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county.MethodsIncome inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003–2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator.ResultsAt both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association.ConclusionsHigher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods.