• Research Area: Racial/Ethnic Segregation ×
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  • Reversal of Fortunes? Low Income Neighborhoods in the US in the 1990s

    This paper offers new empirical evidence about the prospects of lower-income, US urban neighbourhoods during the 1990s. Using the Neighborhood Change Database, which offers a balanced panel of census tracts with consistent boundaries from 1970 to 2000 for all metropolitan areas in the US, evidence is found of a significant shift in the fortunes of lower-income, urban neighbourhoods during the 1990s. There was a notable increase in the 1990s in the proportion of lower-income and poor neighbourhoods experiencing a gain in economic status. Secondly, in terms of geographical patterns, it is found that this upgrading occurred throughout the country, not just in selected regions or cities. Finally, it is found that the determinants of changes in lower-income, urban neighbourhoods shifted during the 1990s. In contrast to earlier decades, both the share of Blacks and the poverty rate were positively related to subsequent economic gain in these neighbourhoods during the 1990s.

  • How Integrated Did We Become During the 1990s?

    Although levels of residential segregation remain undeniably high, this emphasis on segregation can obscure the fact that integrated communities do exist and, as one of the key findings here demonstrate, are becoming more, not less, common.

  • School Finance Court Cases and Disparate Racial Impact

    Although analyses of state school finance systems rarely focus on the distribution of funds to students of different races, the advent of racial discrimination as an issue in school finance court cases may change that situation. In this article, we describe the background, analyses, and results of plaintiffs’ testimony regarding racial discrimination in Campaign for Fiscal Equity Inc. v. State of New York. Plaintiffs employed multiple regression and public finance literature to show that New York State’s school finance system had a disparate racial impact on New York City students. We review the legal basis for disparate racial impact claims, with particular emphasis on the role of quantitative statistical work, and then describe the model we developed and estimated for the court case. Finally, we discuss the defendants’rebuttal, the Court’s decision, and conclude with observations about the role of analysis in judicial decision making in school finance.

  • Immigrant Children and Urban Schools: Evidence from NYC on Segregation and its Consequences

    For several decades, social scientists have tracked the fiscal health of American central cities with some degree of concern. Suburbanization, spawned by technological innovations, consumer preferences, and at least to some extent by government policy, has selectively pulled affluent households out of urban jurisdictions. The leaders of these jurisdictions are left with the prospect of satisfying more concentrated demands for services with a dwindling tax base, realizing that further increasing the burden they place on residents will simply drive more of them away. In the process, cities have become concentrated centers of poverty, joblessness, crime, and other social pathologies.

  • Sharing America’s Neighborhoods: The Prospects for Stable, Racial Integration

    Instead of panic and “white flight” causing the rapid breakdown of racially integrated neighborhoods, the author argues, contemporary racial change is driven primarily by the decision of white households not to move into integrated neighborhoods when they are moving for reasons unrelated to race.

  • Race-Based Neighborhood Projection: A Proposed Framework for Understanding New Data

    This paper outlines the race-based, neighbourhood projection hypothesis which holds that, in choosing neighbourhoods, households care less about present racial composition than they do about expectations about future neighbourhood conditions, such as school quality, property values and crime. Race remains relevant, however, since households tend to associate a growing minority presence with structural decline. Using a unique data-set that links households to their neighbourhoods, this paper estimates both exit and entry models and then constructs a simple simulation model that predicts the course of racial change in different communities. Doing so, the paper concludes that the empirical evidence is more consistent with the race-based projection hypothesis than with other common explanations for neighbourhood racial transition.

  • Is Segregation Bad for Your Health? The Case of Low Birth Weight

    This paper explores the relationship between racial segregation and racial disparities in the prevalence of low birth weight. The paper has two parallel motivations. First, the disparities between black and white mothers in birth outcomes are large and persistent. Second, while there is a growing literature on the costs of racial segregation it has largely focused on economic outcomes such as education and employment.

  • Nativity Differences in Neighborhood Quality Among New York City Households, 1996

    In this paper we add to the literature on locational attainment of immigrants by focusing on a broader range of neighborhood quality indicators that has been done before and by examining the foreign-born contingent of a given ethnic group separately from the native-born contingent of that group. Specifically, we evaluate in New York City how immigrant households compare to native-born households, overall and by race and ethnicity, with respect to neighborhood characteristics such as crime, health outcomes, poverty, and unsafe housing.

  • Differences in Neighborhood Conditions Among Immigrants and Native-Born Children in New York City

    In this paper we use a specially created data set for New York City to evaluate whether the context of children’s neighborhoods varies by their immigrant status, and, if so, whether the relationship between neighborhood context and immigrant status varies by children’s race and ethnicity. Overall, when compared to native-born children, immigrant children live in neighborhoods with higher rates of teenage fertility, and higher percentages of students in local schools scoring below grade level in math and of persons receiving AFDC, but lower rates of juvenile detention. However, further comparisons revealed that race/ethnicity is by far a more potent predictor of where children live than is immigrant status per se. Specifically, we find evidence of a hierarchy of access to advantageous neighborhoods, whereby native- and foreign-born white children have access to the most-advantaged neighborhoods while native-born black children consistently live in the least-advantaged neighborhoods, as measured by our four indicators. In between these extremes, the relative ranking of foreign-born black and native- and foreign-born Hispanic children varies, depending on the measure of the neighborhood context.

  • Spatial Stratification within US Metropolitan Areas

    In most metropolitan areas, central cities and older, inner-ring suburbs tend to have lower-skilled and less affluent populations, lower tax bases, as well as more deteriorated housing stocks and infrastructures, than their newer, outer-ring suburban neighbors. And the segregation becomes even more apparent if comparisons are made across individual neighborhoods within these jurisdictions. The first section, in order to set the stage, documents the magnitude of the spatial and jurisdictional disparities within the average metropolitan area and determines how these have changed in recent years. Many researchers go no further and thus overlook the surprising diversity found across different metropolitan areas in the magnitude of disparities. This paper, however, makes this variation its central concern. To this end, the second section classifies metropolitan areas on the basis of the magnitude of their central-city-suburban disparities and identifies certain metropolitan-area characteristics (such as population size, the degree of racial segregation, and the elasticity of the central-city boundaries) that are correlated with greater and lesser disparities. The third section then estimates a simple, cross-sectional regression that tests which, if any, of these correlations persist after controlling for other factors. Although more definitive conclusions regarding the precise causes of the jurisdictional disparities would be desirable, they would require further statistical analysis that lies outside the scope of this particular project.