Neighborhood change from the bottom Up: What are the determinants of social distance between new and prior residents?

An important source of neighborhood change occurs when there is a turnover in the housing unit due to residential mobility and the new residents differ from the prior residents based on socio-demographic characteristics (what we term social distance). Nonetheless, research has typically not asked which characteristics explain transitions with higher social distance based on a number of demographic dimensions. We explore this question using American Housing Survey data from 1985 to 2007, and focus on instances in which the prior household moved out and is replaced by a new household. We focus on four key characteristics for explaining this social distance: the type of housing unit, the age of the housing unit, the length of residence of the exiting household, and the crime and social disorder in the neighborhood. We find that transitions in the oldest housing units and for the longest tenured residents result in the greatest amount of social distance between new and prior residents, implying that these transitions are particularly important for fostering neighborhood socio-demographic change. The results imply micro-mechanisms at the household level that might help explain net change at the neighborhood level.     

Assessing the benefits of a rising tide: Educational attainment and increases in neighborhood socioeconomic advantage

An emerging approach to studying associations between neighborhood contexts and educational outcomes is to estimate the outcomes of adolescents growing up in neighborhoods that are experiencing economic growth in comparison to peers that reside in economically stable or declining communities. Using data from the National Longitudinal Study of Adolescent Health (Add Health), I examine the association between education attainment and changes in socioeconomic advantage in urban neighborhoods between 1990 and 2000. I find that residing in a neighborhood that experiences economic improvements has a positive association with educational attainment for urban adolescents. Furthermore, race-based analyses suggest consistently positive associations for all race subgroups, lending support to protective models of neighborhood effects that argue high neighborhood SES supports positive outcomes for adolescents residing in these contexts.     

Neighborhood conditions and social network turnover among older adults

Increasing research highlights heterogeneity in patterns of social network change, with growing evidence that these patterns are shaped in part by social structure. The role of social and structural neighborhood conditions in the addition and loss of kin and non-kin network members, however, has not been fully considered. In this paper, we argue that the residential neighborhood context can either facilitate or prevent the turnover of core network relationships in later life – a period of the life course characterized by heightened reliance on network ties and vulnerability to neighborhood conditions. Using longitudinal data from the National Social Life, Health, and Aging Project linked with data from the American Community Survey, we find that higher levels of neighborhood concentrated disadvantage are associated with the loss of older adults’ kin and non-kin network members over time. Higher levels of perceived neighborhood social interaction, however, are associated with higher rates of adding non-kin network members and lower rates of adding kin network members over time. We suggest that neighborhood conditions, including older adults’ perceptions of neighborhood social life, represent an underexplored influence on kin and non-kin social network dynamics, which could have implications for access to social resources later in the life course.     

More social than capital: Social capital accumulation through social network exchange among legal and unauthorized Mexican migrants

Social capital is frequently used to explain many policy related outcomes, but research has not adequately explained how it is accumulated. It is unclear whether the economic or social characteristics of others in a social network motivate social capital accumulation. This lack of understanding has called some to question social capital's efficacy. Employing data from a survey of randomly selected foreign-born Mexicans in Los Angeles County, the influence of social and economic characteristics of a migrant's social network members are estimated. Results suggest a negative association with social capital accumulation for Mexican migrants with a social network member outside their neighborhood. Having married social network members is positively associated for legal Mexicans, while having network members who work in occupations requiring more social skills is positively associated for unauthorized Mexicans accumulating social capital. Measures of human and financial capital are not associated with the probability of developing social capital.     

Extrapolative simulation of neighborhood networks based on population spatial distribution: Do they predict crime?

Objectives

Previous criminological scholarship has posited that network ties among neighborhood residents may impact crime rates, but has done little to consider the specific ways in which network structure may enhance or inhibit criminal activity. A lack of data on social ties has arguably led to this state of affairs. We propose to avoid this limitation by demonstrating a novel approach of extrapolatively simulating network ties and constructing structural network measures to assess their effect on neighborhood crime rates.

Methods

We first spatially locate the households of a city into their constituent blocks. Then, we employ spatial interaction functions based on prior empirical work and simulate a network of social ties among these residents. From this simulated network, we compute network statistics that more appropriately capture the notions of cohesion and information diffusion that underlie theories of networks and crime.

Results

We show that these network statistics are robust predictors of the levels of crime in five separate cities (above standard controls) at the very micro geographic level of blocks and block groups.

Conclusions

We conclude by considering extensions of the approach that account for homophily in the formation of network ties.     

How much does income matter in neighborhood choice?

There is a substantial literature on the residential mobility process itself and a smaller contribution on how households make neighborhood choices, especially with respect to racial composition. We extend that literature by evaluating the role of income and socioeconomic status in the neighborhood choice process for minorities. We use individual household data from the Los Angeles Family and Neighborhood Study to investigate the comparative choices of white and Hispanic households in the Los Angeles metropolitan area. We show that income and education are important explanations for the likelihood of choosing neighborhoods. But at the same time, own race preferences clearly play a role. While whites with more income choose more white neighborhoods, Hispanics with more income choose less Hispanic neighborhoods. One interpretation is that both groups are translating resources, such as income and education, into residence in whiter and ostensibly, higher status neighborhoods.

邻里关系对孩子成长及社区生活品质的影响

邻里关系对孩子的成长和社区生活品质产生很重要的影响。健康的邻里关系可以给孩子提供安全感、稳定感和亲密感,这有助于促进孩子的社会认知,同时也能培养孩子分担社会责任的意识。反之,糟糕的邻里关系会降低整个社区的生活质量并对孩子的成长产生负面影响。邻里关系通过影响社区生活进而孩子的成长,而孩子们是否能健康成长又会反过来影响社区的生活质量。     

Neighbors and neighborhoods: effects on marriage timing

Studies of neighborhoods can benefit from data and theoretical frameworks that allow them to examine the differences between neighborhoods and neighbors. Without this distinction, it is unclear if it is characteristics of the people or the place that are associated with individual outcomes. Using data from the Chitwan Valley Family Study, I explore the differences between neighbors and neighborhoods and their associations with marriage timing. I hypothesize three mechanisms whereby neighbors influence individuals: information sharing, social modeling, and sanctions and rewards among a close primary residential group. I explore three domains in which these mechanisms are likely to operate: education, media consumption, and attitudes. Results indicate that when neighbors have attitudes favoring later marriage and being single, marriage rates decrease, even when controlling for measures that describe the neighborhood’s access to important resources in the form of institutions and services.     

Neighborhood characteristics, parental practices and children’s math achievement in elementary school

This paper investigates the relationships among neighborhood characteristics, education-related parental practices, and children’s academic achievement during a critical but under-studied stage of children’s educational trajectories - the elementary school years. Using a large, nationally representative database of American elementary school students - the Early Childhood Longitudinal Study - Kindergarten Cohort (ECLS-K) - and contextual data from the 2000 US Census, we examine parental practices and neighborhood characteristics at the beginning of children’s school careers (grades K-1) and their associations with math achievement through the end of the 5th grade. Findings: Net of family-level characteristics, higher levels of early education-oriented parental practices were associated with higher mathematics achievement at the end of 5th grade, while neighborhood disadvantage was associated with lower 5th grade math achievement. Families residing in high poverty, high unemployment, low-education neighborhoods employed fewer education-oriented practices with their kindergarten-first grade children, but the positive effect of such parental practices on children’s mathematics achievement was stronger for children who live in disadvantaged neighborhoods.     

Micro-structure in micro-neighborhoods: A new social distance measure,and its effect on individual and aggregated perceptions of crime and disorder

This study links social network methodology with the social disorganization literature to test the effect of block-level social distance on neighborhood perceived crime and disorder. Employing a unique study design that allows creating matrices of social distance (based on demographic characteristics) between 11 residents on each of over 650 blocks at three time points, we find that more socially distant residents perceive more disorder than their neighbors. Consistent with the bridging social capital literature, overall social distance in the block has a curvilinear relationship with perceived crime. And blocks with two cohesive subgroups, based on social distance, have lower levels of perceived disorder.