Understanding trends in concentrated poverty: 1980–2014

Trends in concentrated neighborhood poverty in the United States have been volatile over the past several decades. Using data from the 1980 to 2000 decennial census and the 2010–2014 American Community Survey, we examine the association between concentrated poverty across metropolitan areas in the United States and key proximate factors, including overall changes in poverty, racial residential segregation, and income segregation. One of our unique contributions is assessing the relative contribution of each of these to long-term trends in such poverty using a decomposition analysis. We find that changes in the segregation of the poor explained the largest share of the change in concentrated poverty over most of the time period, with the exception of the 1990s, where the plunge in both black and white poverty rates had the largest role in explaining the considerable decline in concentrated poverty in that decade for both groups. The association between racial segregation and black concentrated poverty is positive but weaker, indicating that without declines in black segregation, concentrated poverty would have been higher. Overall, growing income segregation, along with weak economic performance in recent years, have put more poor people at risk for living in high-poverty communities.     

A revised socioeconomic index of occupational status

Duncan's Socioeconomic Index (SEI), a widely used indicator of occupational ranking, is based on education and income data from the 1950 census. The major purpose of this paper is to offer a more contemporary version of this index. There are several reasons for doing so. Not only has the occupational classificatory scheme been altered, but the educational and economic characteristics of the American labor force and of specific occupational groups have changed since 1950. The two decades may also have seen a shift in the relations between the educational and economic attributes of an occupational grouping and its social standing or prestige. Second, the construction of the original SEI rested on the characteristics of the male labor force, rather than those of the total labor force. Third, in the process of updating the index, we illustrate how certain arbitrary decisions (dictated by data limitations) in the construction of the Duncan SEI served to vest the socioeconomic index with some artifactual properties. In the production of an updated version of the socioeconomic index, we use three approaches. First, we experiment with differing measures of the income and educational criteria. Second, we reconstruct the dependent variable, occupational standing, to provide a better approximation of the prestige measure used by Duncan (1961). Third, we consider the attributes of both the male and total labor forces in generating contemporary indexes of occupational status. We also compare the performance of the new socioeconomic indexes in models of occupational attainment against the performance of the original Duncan index and subsequent occupational prestige measures. The paper appends new socioeconomic indexes for detailed occupational titles based on the 1970 census classification of occupations.     

Neighborhood distress and school dropout: the variable significance of community context

Although a substantial body of recent research has examined the impact of neighborhood socioeconomic distress on youth socioeconomic attainment and urban social dislocations, few studies have determined under what conditions, and for what types of adolescents, neighborhood characteristics matter most. Drawing on theories of collective socialization, social capital, and social control, we develop hypotheses regarding the conditional nature of neighborhood effects on the risk of dropping out of high school, and we then test these hypotheses by estimating event history models based on data from the 1968–1993 waves of the Panel Study of Income Dynamics. We find that, among African Americans, the detrimental impact of neighborhood socioeconomic distress on school dropout has increased significantly over the past quarter-century, a probable repercussion of the increasing geographic concentration of urban poverty. The negative effect of neighborhood distress on high school completion is particularly pronounced among black adolescents from single-parent households and among white adolescents from low-income families, results broadly consistent with Wilson’s claim that exposure to neighborhood poverty reinforces the damaging consequences of individual disadvantage. Supporting the social capital perspective, among both black and white adolescents the deleterious impact of neighborhood distress on school dropout is stronger for recent in-movers than for long-term residents. The impact of neighborhood disadvantage also varies significantly by gender for both racial groups and, among whites, is stronger for younger than older adolescents. We conclude with a discussion of the implications of these findings for theories of neighborhood effects.     

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.     

Everybody's Doin' It (Right?): Neighborhood Norms and Sexual Activity in Adolescence

A neighborhood’s normative climate is linked to, but conceptually distinct from, its structural characteristics such as poverty and racial/ethnic composition. Given the deleterious consequences of early sexual activity for adolescent health and well-being, it is important to assess normative influences on youth behaviors such as sexual debut, number of sex partners, and involvement in casual sexual experiences. The current study moves beyond prior research by constructing a measure of normative climate that more fully captures neighborhood norms, and analyzing the influence of normative climate on behavior in a longitudinal framework. Using recently geo-coded data from the Toledo Adolescent Relationships Study (TARS), we analyze the effect of normative climate on adolescents’ sexual behaviors. Results indicate that variation in neighborhood normative climates increases adolescents’ odds of sexual debut and casual sex, and is associated with their number of sex partners, even after accounting for neighborhood structural disadvantage and demographic risk factors.     

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.     

The estimation of neighborhood effects in the social sciences: An interdisciplinary approach

This paper critically examines the interdisciplinary research of neighborhood effects. Neighborhood effects are community influences on individual social or economic outcomes. Examples include labor force activity, child outcomes, criminal behavior, and other socioeconomic phenomena. The existing theoretical and empirical literature is reviewed. Conceptual definitions from sociology are linked and contrasted with economic models. Early studies are criticized for failing to account for a number of endogeneity concerns. Recent empirical studies are also explored. The results of these papers demonstrate that although neighborhood characteristics are important, their influences are much smaller than suggested by previous research. An additional emphasis is dedicated to linking the neighborhood effects literature to other research of local or spatial activity within economics, sociology, and geography. In particular, the potential employment of local interaction game theory and spatial econometrics in neighborhood effects research is discussed. Additionally, a catalogue of existing empirical research is assembled.     

SPATIAL AND TEMPORAL DIMENSIONS OF NEIGHBORHOOD EFFECTS ON HIGH SCHOOL GRADUATION

Research into the effects of neighborhood characteristics on children’s behavior has burgeoned in recent years, but these studies have generally adopted a limited conceptualization of the spatial and temporal dimensions of neighborhood effects. We use longitudinal data from the Panel Study of Income Dynamics and techniques of spatial data analysis to examine how both the socioeconomic characteristics of extralocal neighborhoods—neighborhoods surrounding the immediate neighborhood of residence—and the duration of exposure to disadvantaged neighborhoods throughout the childhood life course influence the likelihood of graduating from high school. Among blacks and whites, socioeconomic advantage in the immediate neighborhood increases the likelihood of completing high school, but among whites higher levels of socioeconomic advantage in extralocal neighborhoods decrease high school graduation rates. Extralocal neighborhood advantage suppresses the influence of advantage in the immediate neighborhood so that controlling for extralocal conditions provides stronger support for the neighborhood effects hypothesis than has previously been observed. Exposure to advantaged neighborhoods over the childhood life course exerts a stronger effect than point-in-time measures on high school graduation, and racial differences in exposure to advantaged neighbors over the childhood life course help to suppress a net black advantage in the likelihood of completing high school.     

The impact of childhood neighborhood disadvantage on adult joblessness and income

Research on residential inequality focuses heavily on adult economic outcomes as crucial components of the intergenerational transmission of poverty. Yet, empirical evidence on whether youth neighborhoods have a lasting impact on adult economic outcomes at the national level is scarce. Further, we know little about how youth neighborhood effects on adult economic outcomes manifest. This study uses 26 years (14 waves) of restricted panel data from the NLSY79 and the NLSY Children and Young Adults cohorts – data that have never been used to analyze long-term neighborhood effects – to examine whether youth neighborhood disadvantage impacts adult economic outcomes through sensitive years in childhood, teen socialization, duration effects, or cumulative effects. Sibling fixed effects models that net out unobserved effects of shared family characteristics suggest that youth neighborhood disadvantage increases joblessness and reduces income in adulthood. However, exposure across specific developmental stages of youth does not appear to act as a significant moderator while sustained exposure yields pernicious effects on adult economic outcomes. Moreover, these results are robust to alternative variable specifications and cousin fixed effects that net out potentially unobserved confounders, such as the inheritance of neighborhood disadvantage across three generations.     

A Systemic Approach to Racial Residential Patterns

This paper applied the model of Linear System of Action developed by Coleman (1992) to understand racial composition in neighborhoods from a systemic approach. The model had an advantage to consider how an individual household simultaneously maximizes all desirable neighborhood qualities with limited socioeconomic resources. The model generated relative values of socioeconomic resources and neighborhood qualities of each racial group in the exchange process. In addition, the model estimated a preference hierarchy of neighborhood qualities of each group. Results suggested that blacks and Asians in Canada tend to live in neighborhoods with higher proportions of their own groups because blacks may be steered away from predominantly white neighborhoods and Asians experience low returns on their socioeconomic resources in improving spatial contact with whites.     

Intimate partner violence in neighborhood context: The roles of structural disadvantage,subjective disorder,and emotional distress

Most theoretical treatments of intimate partner violence (IPV) focus on individual-level processes. Some researchers have attempted to situate IPV within the larger neighborhood context, but few studies have sought to link structural- and individual-level factors. The current analyses fill a research gap by examining the role of anger and depression in the association between neighborhood disadvantage and IPV. Using data from the Toledo Adolescent Relationships Study (TARS) and the 2000 Census, this study focuses on structural indicators of disadvantage as well as subjective disorder, and highlights the complex associations between neighborhood conditions, emotional distress, and IPV. Findings indicate that anger and depressive symptoms partially explain the association between neighborhood disadvantage and IPV. Additionally, the associations between disadvantage, disorder, and IPV depend on respondent’s level of anger. Results underscore the need to further consider the role of neighborhood factors (both objective and subjective) in relation to IPV, and also suggest the utility of introducing individual-level emotional measures to assess the circumstances under which neighborhoods matter most.     

The diversity dividends of a need-blind and color-blind affirmative action policy

In the early to mid-2000s, four flagship Israeli selective universities incorporated a need-blind and color-blind affirmative action policy into their admissions practices. The program, which gives an edge in admission to academically borderline applicants from disadvantaged backgrounds, emphasizes structural disadvantages, such as neighborhood socioeconomic status and high school rigor. The results of this study, based on administrative data from the four universities, demonstrate that having such a policy in place made the four institutions, especially the echelons at the most selective departments, more diverse than they otherwise would have been. The rise in geographic, economic and demographic diversity of a student population suggests that the plan’s focus on structural determinants of disadvantage yields broad diversity dividends. The paper discusses the relevance of the findings to the ongoing discussion of admission regimes, diversity and equality of opportunity in the US.     

The relationship between lifetime health trajectories and socioeconomic attainment in middle age

A large literature demonstrates the direct and indirect influence of health on socioeconomic attainment, and reveals the ways in which health and socioeconomic background simultaneously and dynamically affect opportunities for attainment and mobility. Despite an increasing understanding of the effects of health on social processes, research to date remains limited in its conceptualization and measurement of the temporal dimensions of health, especially in the presence of socioeconomic circumstances that covary with health over time. Guided by life course theory, we use data from the British National Child Development Study, an ongoing panel study of a cohort born in 1958, to examine the association between lifetime health trajectories and socioeconomic attainment in middle age. We apply finite mixture modeling to identify distinct trajectories of health that simultaneously account for timing, duration and stability. Moreover, we employ propensity score weighting models to account for the presence of time-varying socioeconomic factors in estimating the impact of health trajectories. We find that, when poor health is limited to the childhood years, the disadvantage in socioeconomic attainment relative to being continuously healthy is either insignificant or largely explained by time-varying socioeconomic confounders. The socioeconomic impact of continuously deteriorating health over the life course is more persistent, however. Our results suggest that accounting for the timing, duration and stability of poor health throughout both childhood and adulthood is important for understanding how health works to produce social stratification. In addition, the findings highlight the importance of distinguishing between confounding and mediating effects of time-varying socioeconomic circumstances.     

Perceived social standing among Asian immigrants in the US: Do reasons for immigration matter?

We investigate the association between a subjective measure of social status and the reasons for immigration among Asian immigrants in the US. We use data from the National Latino and Asian American Study to test several hypotheses about this association. Our analyses show the positive effect on perceived social standing of migrating for better education, the negative effect of migrating to seek employment, and the negative impact of refugee status. Migrating for family reunification can be associated with various circumstances, which lead to differing outcomes. The results suggest that the notion that immigrants arrive in the US with limited resources and few skills and move slowly up the socioeconomic ladder must be reassessed in light of the complex social context and factors such as ethnicity, gender, divergent immigration paths, and a range of associated circumstances.     

Intergenerational effects of shifts in women’s educational distribution in South Korea: Transmission, differential fertility, and assortative mating

This study examines the intergenerational effects of changes in women’s education in South Korea. We define intergenerational effects as changes in the distribution of educational attainment in an offspring generation associated with the changes in a parental generation. Departing from the previous approach in research on social mobility that has focused on intergenerational association, we examine the changes in the distribution of educational attainment across generations. Using a simulation method based on Mare and Maralani’s recursive population renewal model, we examine how intergenerational transmission, assortative mating, and differential fertility influence intergenerational effects. The results point to the following conclusions. First, we find a positive intergenerational effect: improvement in women’s education leads to improvement in daughter’s education. Second, we find that the magnitude of intergenerational effects substantially depends on assortative marriage and differential fertility: assortative mating amplifies and differential fertility dampens the intergenerational effects. Third, intergenerational effects become bigger for the less educated and smaller for the better educated over time, which is a consequence of educational expansion. We compare our results with Mare and Maralani’s original Indonesian study to illustrate how the model of intergenerational effects works in different socioeconomic circumstances.     

Eyes on the Block: Measuring Urban Physical Disorder Through In-Person Observation

In this paper, we present results from measuring physical disorder in Los Angeles neighborhoods. Disorder measures came from structured observations conducted by trained field interviewers. We examine inter-rater reliability of disorder measures in depth. We assess the effects of observation conditions on the reliability of reporting. Finally, we examine the relationships between disorder, other indicators of neighborhood status, and selected individual outcomes.Our results indicate that there is considerable variation in the level of agreement among independent observations across items, although overall agreement is moderate to high. Durable indicators of disorder provide the most reliable measures of neighborhood conditions. Circumstances of observation have statistically significant effects on the observers’ perceived level of disorder. Physical disorder is significantly related to other indicators of neighborhood status, and to children’s reading and behavior development.This result suggests a need for further research into the effects of neighborhood disorder on children.     

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.     

Prestige versus socioeconomic status in the attainment processes of American men and women

This paper demonstrates the consequences to the researcher of choosing to analyze social mobility data with a prestige scale rather than with a socioeconomic index. First, the low intergenerational correlations reported for the International Prestige Scale are rejected when they are shown to be compatible with inadequate models of the processes of status inheritance. Second, the Duncan socioeconomic index is shown to be the preferred measure of status transmission in that it suffers from less random error than does the International Prestige Scale, particularly among men. Third, the occupational attainment processes of American men and women are described with socioeconomic scoring, and these findings are contrasted with those which obtain with prestige coding.     

The effects of labor market segmentation on economic resources in retirement

Longitudinal data from the Panel Study of Income Dynamics are used to explore the determinants of economic resource levels among recently retired workers. Three income determination models are used to examine significant predictors of economic status using a broad measure of economic well being that includes both retirement income and wealth. Findings indicate that variables used in status attainment, human capital, and labor market segmentation models explain substantial amounts of variance. Applying these models to the longitudinal data provide suggestive information about the crucial life-span characteristics and circumstances that determine economic status as workers enter retirement.