HOUSE PRICE IMPACTS OF RACIAL,INCOME, EDUCATION,AND AGE NEIGHBORHOOD SEGREGATION

We study housing prices and neighborhood segregation. We advance the literature by (1) studying not just racial segregation like previous studies, but also segregation by age, income, and education level, (2) using a finer unit of geography to construct segregation measures, (3) incorporating spatial statistics, and (4) separating segregation effects from underlying population level effects. We find race segregation is positively related to house prices, with an elasticity of 0.19. In contrast, income and educational segregation reduce housing values, with elasticities of ?0.23 and ?0.21. By comparison, house age has an elasticity of ?0.15. Age segregation is not generally capitalized.     

Gender representation and participation in Dutch human geography departments

Since the beginning of the 1970s the under‐representation of women in geography has been questioned in several publications. Most articles refer to the situation in English‐speaking countries. This paper examines the vertical and horizontal gender segregation in human geography departments in Dutch universities. In spite of several policy measures to promote equal opportunity, women form only 19 per cent of all human geography faculty. In the conclusion, consequences and dilemmas related to gender representation and segregation are discussed.     

Measuring the Scale of Segregation Using k‐Nearest Neighbor Aggregates

Nearly all segregation measures use some form of administrative unit (usually tracts in the United States) as the base for the calculation of segregation indices, and most of the commonly used measures are aspatial. The spatial measures that have been proposed are often not easily computed, although there have been significant advances in the past decade. We provide a measure that is individually based (either persons or very small administrative units) and a technique for constructing neighborhoods that does not require administrative units. We show that the spatial distribution of different population groups within an urban area can be efficiently analyzed with segregation measures that use population count‐based definitions of neighborhood scale. We provide a variant of a k‐nearest neighbor approach and a statistic spatial isolation and a methodology (EquiPop) to map, graph, and evaluate the likelihood of individuals meeting other similar race individuals or of meeting individuals of a different ethnicity. The usefulness of this approach is demonstrated in an application of the method to data for Los Angeles and three metropolitan areas in Sweden. This comparative approach is important as we wish to show how the technique can be used across different cultural contexts. The analysis shows how the scale (very small neighborhoods, larger communities, or cities) influences the segregation outcomes. Even if microscale segregation is strong, there may still be much more mixing at macroscales.     

TIPPING AND RESIDENTIAL SEGREGATION: A UNIFIED SCHELLING MODEL*

ABSTRACT This paper presents a Schelling‐type checkerboard model of residential segregation formulated as a spatial game. It shows that although every agent prefers to live in a mixed‐race neighborhood, complete segregation is observed almost all of the time. A concept of tipping is rigorously defined, which is crucial for understanding the dynamics of segregation. Complete segregation emerges and persists in the checkerboard model precisely because tipping is less likely to occur to such residential patterns. Agent‐based simulations are used to illustrate how an integrated residential area is tipped into complete segregation and why this process is irreversible. This model incorporates insights from Schelling's two classical models of segregation (the checkerboard model and the neighborhood tipping model) and puts them on a rigorous footing. It helps us better understand the persistence of residential segregation in urban America.     

Dimensions and dynamics of residential segregation by income in urban Canada, 1991–1996

This paper examines the trends in residential segregation by income (post-transfer, pretax income) in the thirty-nine largest Canadian urban areas between 1991 and 1996. The study is motivated by the relative lack of attention paid to residential segregation by income in the Canadian context and by conceptual arguments linking compromised life chances and increased social tensions for the populations of highly segregated cities. We investigated several dimensions of segregation using five different measures (we focus on three of these here given the correlation structure of the measures) to examine changes in segregation between 1991 and 1996, a period characterised by economic recession, cutbacks in social programs and a widening of inequality in market incomes at the national scale. Overall, income segregation increased in most urban areas across all dimensions of segregation during the time period, with particularly high degrees of segregation observed in prairie cities (Winnipeg, Saskatoon and Regina). Of the three largest metropolitan areas (Vancouver, Toronto and Montréal), Montréal was the most consistently segregated. We also find that increases in spatial separation and spatial concentration by income occurred despite the fact that at the national scale, the tax and transfer system appeared to be adequately redressing a rise in inequality in labour and market incomes (as demonstrated by the lack of change in post-transfer national income inequality measures during a period when inequality in market and labour incomes rose sharply). This implies that the lived experience of changes in income distribution are unlikely fully captured by aspatial, national-scale measures and that intra-urban measures with a spatial dimension are an important indicators of inequality in Canadian society.     

Constructing the ‘Neighborhood Sphere’: Gender and Community organizing [1]

This article examines organizing styles and issues in neighborhood activism to illustrate how activists seek to constitute a neighborhood community. It identifies the ways in which community organizing is gendered in both style and content, often separating 'women's' and 'men's' issues along an artificial public-private divide. This research illustrates, however, how neighborhood activists can use and challenge gendered forms of activism to integrate both public and private into an ideal of a neighborhood community. Using a case study of the Thomas-Dale Block Clubs in St Paul, Minnesota, the article examines how residents use gender-essentializing discourses of safety and parenting to insert household and family issues into a broader community arena. Further, it identifies how these discourses overlay cultural tensions in a diverse neighborhood. The activism in the block club organization studied here reflects a wide variety of community organizing strategies and concerns, focusing on defining and creating a neighborhood public sphere, to which, as the organization argued, every resident ought to be responsible and accountable.     

Immigration,new religious symbols,and the dynamics of neighborhoods

Last decades' non-western immigration to Europe has resulted in culturally and religiously more diverse populations in many countries. One manifestation of this diversification is new features in the cityscape. Using a quasiexperimental approach, in which an unexpected political process that led way to the first public call to prayer from a mosque in Sweden is combined with rich, daily, information on housing sales and detailed monthly information on internal migration, this paper examines how one such new feature affects neighborhood dynamics. While our results indicate that the calls to prayer increased house prices closer to the mosque, we find no evidence of increased residential segregation between natives and immigrants.     

NEIGHBORHOOD SOCIAL MIX AND ADULTS' INCOME TRAJECTORIES: LONGITUDINAL EVIDENCE FROM STOCKHOLM

We investigate the relationship between neighborhood income composition and income trajectories of adults, employing annual panel data from Stockholm over the 1991–2008 period and multiple measures of neighborhood income mix. We advance the human geography literature in three ways by quantifying neighborhood effects that: (1) are unusually precise due to our large sample size; (2) are arguably causal and unbiased due to the econometric techniques employed; (3) are potentially heterogeneous, varying according to gender, income group, and ethnicity. Our innovative, fixed‐effect change modeling indicates that neighborhood income mix affects subsequent one‐ and five‐year income trajectories of residents in highly heterogeneous ways according to gender, income and ethnicity, and for some groups this effect is substantial. The evidence supports on Pareto improvement grounds a social mix policy that attempts to reduce the incidence of lower‐income dominant neighborhood environments and replace them with more mixed or middle‐income dominant ones.     

SPATIAL DEPENDENCY OF SEGREGATION INDICES

A few researchers have mentioned the scale sensitivity of segregation index, D. In this paper, I discuss analytically and empirically why using large enumeration areal units usually results in low segregation measures, and using small areal units produces relatively high segregation measures. The discussion is also applicable to the multi-group variant of D. A major finding is that if people of the same ethnic groups are positively spatially auto-correlated, increasing the size of areal units of analysis may not lower D initially, because only people of the same group are added. But enlarging the areal units subsequently may include population of other ethnic groups, and therefore could lower D. However, if the boundaries of the larger enumeration units are drawn to include only population of the same group, then D will not change significantly. Both the spatial autocorrelation of ethnic group population and zonal pattern are critical factors in determining the scale sensitivity of D.     

Spatial Decomposition of Segregation Indices: A Framework Toward Measuring Segregation at Multiple Levels

Segregation measures based upon data gathered at different geographical levels cannot provide consistent results because of the scale effect under the Modifiable Areal Unit Problem (MAUP) umbrella. This paper proposes a framework, which decomposes segregation attributable to different geographical levels, to conceptually link segregation values obtained from multiple geographical levels together such that differences in segregation values among levels are accounted for. Using two different indices, the dissimilarity index D and the diversity index H, this paper illustrates the decomposition methods specific to these indices. When these indices are decomposed, local measures of segregation pertaining to multiple geographical levels are computed. These local segregation measures indicate the levels of segregation contributed by the local units and the regional units to the entire study area.     

HAPPY IN THE HOOD? THE IMPACT OF RESIDENTIAL SEGREGATION ON SELF‐REPORTED HAPPINESS

Previous research consistently finds that racially based residential segregation is associated with poor economic, health, and social outcomes. The purpose of this paper is to explore the relationship between residential segregation and self‐reported happiness. Using panel data from the National Survey of Families and Households (NSFH), we begin by estimating ordinary least squares (OLS) regressions of happiness on a measure of MSA‐level segregation, controlling for a rich set of individual, neighborhood, regional, and state characteristics. The OLS results suggest that increased segregation is associated with a reduction in happiness among blacks. To deal more appropriately with the potential endogeneity of location choice, we extend the methodology to fully exploit the panel structure of the NSFH and incorporate individual fixed effects into the happiness equation. Contrary to the OLS results, our fixed effects estimates imply that blacks are happier in more segregated metropolitan areas. The paper discusses the implications of these results within the context of current integration policies.     

WELCOME TO THE NEIGHBORHOOD: HOW CAN REGIONAL SCIENCE CONTRIBUTE TO THE STUDY OF NEIGHBORHOODS?*

ABSTRACT We argue in this paper that neighborhoods are highly relevant for the types of issues at the heart of regional science. First, residential and economic activity takes place in particular locations, and particular neighborhoods. Many attributes of those neighborhood environments matter for this activity, from the physical amenities, to the quality of the public and private services received. Second, those neighborhoods vary in their placement in the larger region and this broader arrangement of neighborhoods is particularly important for location choices, commuting behavior and travel patterns. Third, sorting across these neighborhoods by race and income may well matter for educational and labor market outcomes, important components of a region's overall economic activity. For each of these areas we suggest a series of unanswered questions that would benefit from more attention. Focused on neighborhood characteristics themselves, there are important gaps in our understanding of how neighborhoods change – the causes and the consequences. In terms of the overall pattern of neighborhoods and resulting commuting patterns, this connects directly to current concerns about environmental sustainability and there is much need for research relevant to policy makers. And in terms of segregation and sorting across neighborhoods, work is needed on better spatial measures. In addition, housing market causes and consequences for local economic activity are under researched. We expand on each of these, finishing with some suggestions on how newly available data, with improved spatial identifiers, may enable regional scientists to answer some of these research questions.     

Ethnic segregation in England's schools

We document ethnic segregation in secondary schools in England in 2001 in order to contribute to the debate on the degree of ethnic group social integration. We use indices of dissimilarity and isolation to compare the patterns of segregation across nine ethnic groups. We find that levels of ethnic segregation in England's schools are high, with considerable variation both across LEAs and across different minority ethnic groups. By combining the two indices we are able to identify areas of particular concern as scoring highly on both. For pupils of South Asian origin, these include the locations of the severe disorders in the summer of 2001. Finally, we show that ethnic segregation is only weakly related to income segregation.     

WHY DO RENTERS STAY IN OR LEAVE CERTAIN NEIGHBORHOODS? THE ROLE OF NEIGHBORHOOD CHARACTERISTICS,HOUSING TENURE TRANSITIONS,AND RACE

Given significant variation in population turnover and stability across neighborhoods, this study examines why renters stay in or leave certain neighborhoods. It is the first to analyze how neighborhood characteristics influence renters’ decisions to move within the neighborhood as well as how these decisions are interrelated with their housing tenure transitions and race. Results demonstrate that homeownership rates have a significant, positive association with the probability that renters stay and/or purchase homes in the current neighborhood. Both the tenure composition of the housing stock and higher neighborhood satisfaction appear to be central in understanding this association. Results also suggest that nonblack renters are more likely to leave neighborhoods that experience growth in the percentage of the black population, while blacks are more likely to stay and purchase homes within such neighborhoods.     

The relationship between neighborhood design and social capital as measured by carpooling

This paper examines whether social capital in a neighborhood is influenced by its design, taking the cul‐de‐sac as a special case. It offers two contributions: using carpooling to school as a proxy for social capital and a precise definition of the neighborhood using geo‐coded survey data from California. Living in a cul‐de‐sac neighborhood is found to increase the probability of carpooling, but the effect loses statistical significance when residential self‐selection is accounted for. The analysis reveals competing insights about the self‐selection behavior that must be resolved before neighborhood design can be considered an effective policy tool for enhancing social capital.     

Minority–Majority Relations in the Schelling Model of Residential Dynamics. 住宅动态迁移Schelling模型中的少数‐多数关系

The Schelling model describing segregation between two groups of residential agents, reflects the most abstract, basic view of noneconomic forces motivating residential migrations: be close to people of “your own” kind. The model assumes that residential agents, located in neighborhoods where the fraction of “friends” is less than a predefined threshold value F, try to relocate to neighborhoods where this fraction is F or higher. For groups of equal size, Schelling's residential pattern converges either to complete integration (random pattern) or segregation, depending on F. We investigate Schelling model pattern dynamics as a function of F in addition to two other parameters—the ratio of groups' numbers, and neighborhood size. We demonstrate that the traditional integration–segregation pattern dichotomy should be extended. In the case of groups of different sizes, a wide interval of F‐values exists that entails a third persistent residential pattern, one in which a portion of the majority population segregates while the rest remains integrated with the minority. We also demonstrate that Schelling model dynamics essentially depend on the formalization of urban agents' residential behavior. To obtain realistic results, the agents should be satisficers, and the fraction of the agents relocating irrespective of the neighborhood's state should be nonzero. We discuss the relationship between our results and real‐world residential dynamics.     

Seeking politically compatible neighbors? The role of neighborhood partisan composition in residential sorting

High rates of internal migration throughout the United States offer opportunities to examine the factors underlying residential selection and neighborhood choice. We devise a survey experiment where respondents are shown photographs of properties and information about the local socioeconomic environment. By providing and varying additional information about the neighborhood partisan composition, our survey experiment explores how political information affects property evaluation. We find that the same property will be evaluated more favorably by partisans when they learn that it is situated in a predominantly co-partisan neighborhood. A second experiment examines how people make judgments about neighborhood partisan composition in the absence of readily available information. We learn that correct inferences about the politics of a locale can be drawn from non-political information about it, even without exposure to direct information about its partisan balance.     

Distance and social interaction in a Victorian city

The paper examines patterns of marriage in a small industrial city—Huddersfield—between 1850 and 1880, when the residential structure of the city was becoming more modern in its spatial organization. The need to interpret distance-decay patterns of interaction in their social context is stressed. The apparently unchanging relationship between physical distance and frequency of interaction is related to the balance between changing patterns of individual mobility, class consciousness and scales of residential segregation. The more extensive interaction fields of the rich are attributed to their greater mobility, but also their lower population density. The close-knit patterns of the poor reflect their higher population density and more particularly the segregation of the Irish community. Finally, the differences between normative (within-class) and non-normative (between-class) marriage distances are considered. It is suggested that physical distance operated independently of social distance, although this conclusion requires further testing at different scales of analysis, and using information on forms of interaction other than marriage.     

Concentration Effects,Spatial Mismatch,or Neighborhood Selection? Exploring Labor Market and Neighborhood Variations in Male Unemployment Risk Using Census Microdata from Great Britain

A classification of census enumeration districts has recently been added to the 1991 British Census 2% Sample of Anonymised Records (SAR). Through the use of multilevel modeling techniques, the area classification information on the SAR is used to investigate geographical differences in unemployment. Previous research has indicated that where a person lives can affect their propensity to unemployment. However, the understanding of these relationships are confounded by the reciprocal nature of the relationship between unemployment, housing, and geographical location. This paper examines the relative importance of the individual, the type of neighborhood of residence, and the local labor market in which one lives in explaining variations in unemployment risk. It also examines the role of housing tenure at an individual and contextual level in mediating this relationship. Two competing hypotheses are evaluated. The first is that local concentrations of unemployment are the result of the process of neighborhood selection. The other suggests there are contextual affects on unemployment risk, which may include access to job opportunities and “concentration effects.” The paper concludes that most neighborhood level variation in unemployment is due to housing market effects, particularly neighborhood selection. As well as offering insights into the relationship between unemployment and geographical location, this paper aims to demonstrate methodological innovations in the analysis of census microdata. In particular it shows how area classifications can be used in conjunction with microdata in a multilevel modeling framework, to get a better understanding of the role of individual and contextual factors in social processes.     

Changing Ethnic Segregation and Housing Disadvantage in Dundee

Abstract

Dundee has a small black and minority ethnic (BME) population, which has been neglected by previous research, as have BME populations in small towns and cities generally. As in other British cities, the residential locations of the main BME groups are distinct from that of the white population. After briefly reviewing the history of settlement in Dundee, this paper examines the extent to which patterns of ethnic segregation have changed between 1991 and 2001. Some moves towards dispersal and suburbanisation are identified but there are important contrasts between different BME groups. The implications of segregation for housing availability are assessed through Census of Population data. The hypothesis is posed that the consequences of segregation for housing disadvantage are greater in small cities such as Dundee.