Schools,Neighborhoods and Selection: Outcomes Across Metropolitan Los Angeles

What is the relationship between school segregation and neighborhood segregation across school districts in Los Angeles County, and are school district outcomes on reading and mathematics scores related to levels of school segregation across these districts? We compute segregation scores using US tract level data for 2000 and use reading and mathematics scores from California State tests. Data from the Los Angeles family and neighborhood survey are used to track individual residential changes and differences in the associated Woodcock Johnson scores. We show that there is a close link between levels of school segregation and neighborhood segregation and that many suburban school districts are relatively integrated across both neighborhoods and schools. When we examine average school district outcomes on reading and mathematics scores we do not find any relationship with levels of segregation. At the same time there is clear evidence of spatial sorting with poorer and lower scoring children moving into school districts (or zones with poorer achieving schools). The multi-level models of segregation and achievement show that the variance in achievement levels across districts is significantly greater than across schools within districts.     

<Emphasis Type="Bold">Neighborhoods,Schools, and Academic Achievement: A Formal Mediation Analysis of Contextual Effects on Reading and Mathematics Abilities</Emphasis>

Although evidence indicates that neighborhoods affect educational outcomes, relatively little research has explored the mechanisms thought to mediate these effects. This study investigates whether school poverty mediates the effect of neighborhood context on academic achievement. Specifically, it uses longitudinal data from the Panel Study of Income Dynamics, counterfactual methods, and a value-added modeling strategy to estimate the total, natural direct, and natural indirect effects of exposure to an advantaged rather than disadvantaged neighborhood on reading and mathematics abilities during childhood and adolescence. Contrary to expectations, results indicate that school poverty is not a significant mediator of neighborhood effects during either developmental period. Although moving from a disadvantaged neighborhood to an advantaged neighborhood is estimated to substantially reduce subsequent exposure to school poverty and improve academic achievement, school poverty does not play an important mediating role because even the large differences in school composition linked to differences in neighborhood context appear to have no appreciable effect on achievement. An extensive battery of sensitivity analyses indicates that these results are highly robust to unobserved confounding, alternative model specifications, alternative measures of school context, and measurement error, which suggests that neighborhood effects on academic achievement are largely due to mediating factors unrelated to school poverty.     

Neighborhood Coethnic Immigrant Concentrations and Mexican American Children’s Early Academic Trajectories

We use data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–1999 as well as neighborhood data from the 2000 U.S. Census to examine relationships between neighborhood Mexican immigrant concentration and reading (n = 820) and mathematics (n = 1,540) achievement among children of Mexican descent. Mixed-effects growth curves show that children living in immigrant-rich communities enter school at an achievement disadvantage relative to children in neighborhoods with fewer coethnic immigrant families. However, these disparities are driven by lower-SES families’ concentration in immigrant-heavy neighborhoods as well as these neighborhoods’ structural disadvantages. Controlling for children’s generation status and socioeconomic status, as well as neighborhood-level measures of structural disadvantage, safety, and social support, neighborhood immigrant concentration demonstrates a modest positive association with mathematics achievement among children of Mexican immigrant parents at the time of school entry. However, we do not find strong positive associations between Mexican American children’s rate of achievement growth over the elementary and middle school years and their neighborhoods’ concentration of Mexican immigrants.     

High Fertility and Children's Schooling in Ghana: Sex Differences in Parental Contributions and Educational Outcomes

This paper explores the linkages at the family level between sustained high fertility and children's schooling in Ghana, in the context of a constrained economic environment and rising school fees. The unique feature of the paper is its exploration of the operational significance of alternative definitions of “sib size” – the number of “same-mother” siblings and “same-father” siblings – in relation to enrolment, grade attainment, and school drop-out for boys and girls of primary and secondary school age. The analysis is based on the first wave of the Ghana Living Standards Measurement Survey (GLSS) data, collected in 1987–88. The results of the statistical analysis lead to the conclusion that the co-existence of high fertility, rising school costs, and economic reversals is having a negative impact on the education of girls, in terms of drop-out rates and grade attainment. Some of the costs of high fertility are borne by older siblings (particularly girls) rather than by parents, with the result that children from larger families experience greater inequality between themselves and their siblings by sex and birth order. Because fathers have more children on average than mothers, the inequality between their children appears to be even greater than between mothers' children, particularly given the importance of fathers' role in the payment of school fees. The paper concludes that the greatest cost for children in Ghana of sustained high fertility is likely to be the reinforcement of traditional sex roles, largely a product of high fertility in the past.     

Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis

Geodemographics as the “analysis of people by where they live” has origins in urban sociology and social mapping, and is experiencing a renaissance in applied spatial demography. However, some commentators have expressed reservations about the statistical limitations of common geodemographic practices, especially focusing on the potential internal heterogeneity of the geodemographic groupings, as well as the problem of clearly identifying predictor variables that might account for or explain the socioeconomic patterns revealed by geodemographic analyses. In this paper we argue that geodemographic typologies are structured methods for making sense of the spatial and socioeconomic patterns encoded within complex datasets such as national census data. By treating geodemographics as more a framework than a tool for analysis in its own right we are able to integrate it with the flexibility and statistical conventions offered by multilevel modeling. We demonstrate this with a case study of whether pupils from different types of neighborhood in Birmingham, England are more or less likely to attend their nearest state-funded secondary school and how that likelihood varies with the ethnic composition of the neighborhood. In so doing we build on previous research suggesting that ethnic segregation between schools is at least equal to that between neighborhoods in England and speculate in this regard on the consequences of current government plans to extend choice to parents within a schools market.     

What is Most Important: Social Factors, Health Selection, and Adolescent Educational Achievement

This paper explores the relative importance of social factors and health measures in predicting educational achievement in early and late adolescence using population-based administrative data. The sample was made up of 41,943 children born in Manitoba, Canada between 1982 and 1989 and remaining in the province until age 18. Multilevel modeling nests each individual (level 1) within a family (level 2) residing within a neighborhood (level 3). Most important in predicting adolescent achievement were a broad socioeconomic status index (and a narrower measure of household income), being on social assistance, mother’s age at first birth, gender, residential mobility, the presence of ADHD/Conduct disorders, and measures of family functioning (child taken into care or offered protection services and family structure history). Family size, birth order, and newborn characteristics (birthweight, APGAR, gestational age) were statistically significant but of little importance in explaining the outcomes. Both examining regression coefficients and systematically omitting variables showed social factors (often emphasized by epidemiologists) to have markedly greater effects than the combination of health measures (often stressed by economists) in predicting achievement. However, mental health in childhood is identified as among the important predictors. Record linkage across population datasets from health, education, and family services ministries allowed: tracking health and educational attainment at different times in a child’s life, following a large number of cases across childhood, considerable sensitivity testing, controlling for unmeasured family and neighborhood effects, generating an extensive list of predictors, estimating effect sizes, and comparing Manitoba results with those of well-known American studies.     

The Role of Catchment Areas on School Segregation by Economic,Social and Cultural Characteristics

This research analyses the socioeconomic and cultural segregation of students across school catchment areas using census data for the students in their second year of secondary education in Andalusia (the most populated region in Spain). The main methodology used is the Mutual Information Index, which satisfies all the desirable properties for measuring segregation. Concretely, we draw upon the additive decomposability property, which decomposes the segregation of students across schools into the different levels in which schools can be grouped, that is, catchment areas and, within catchment areas, by source of funding (public and semiprivate schools). We found that school segregation is greater than catchment areas’ segregation. Additionally, statistically significant correlations are found between the level of segregation within the catchment areas and factors such as size of the catchment area, parental level of education and size of the municipality where the school is located.

     

Re-Conceptualizing Gaps by Socioeconomic Status in Parental Time with Children

Differences in the total time that parents spend with their children by socioeconomic status (SES) are well documented. However, the qualitative aspects of such gaps are potentially important, yet relatively understudied. The current study analyzes time-use data for a nationally representative sample of married households with at least two children, one of whom is under 13 (N = 21,016), from the American Time Use Survey to provide a more nuanced analysis of previously documented differences in the time parents spend with children by SES. Specifically, two understudied aspects of family time are considered, both of which are distinct from other types of parent–child time and are potentially particularly developmentally beneficial: shared time when both parents are present with a child and individual child time when no siblings are present. We find that shared time when both parents are simultaneously present with a child often comprises a substantial portion of the total gap in parental time spent with children between college-educated parents and parents who did not complete high school. Similarly, college-educated parents spend more time with children in the absence of the child’s siblings than do less-educated parents. Gaps in this time classification are often found within enriching time, which is likely especially developmentally beneficial, potentially amplifying the effects of these gaps on child development. Generally, these results suggest that gaps in parental time with children by SES are more nuanced than previous research has recognized.     

Why are residential and school moves associated with poor school performance?

Most research on residential mobility has documented a clear pattern: Residential and school moves are associated with poor academic performance. Explanations for this relationship, however, remain speculative. Some researchers argue that moving affects social relationships that are important to academic achievement. But the association between moving and school performance may be spurious; the negative correlation may be a function of other characteristics of people who move often. We offer several conceptual and analytical refinements to these ideas, allowing us to produce more precise tests than past researchers. Using longitudinal data, we find that differences in achievement between movers and nonmovers are partially a result of declines in social relationships experienced by students who move. Most of the negative effect of moving, however, is due to preexisting differences between the two groups.     

Schulqualität, Schulerfolg und Gesundheit. Ergebnisse aus der österreichischen „Health Behaviour in School-Aged Children“-Studie

Based on the question, how school quality, academic achievement and health are linked to each other, the paper presents a research model that regards students’ health as a central educational resource that mediates between school quality and students’ academic achievement. The empirical test is based on the most recent data of the “Health Behaviour in School-aged Children” (HBSC) survey by using a structural equation model. The results indicate, that school quality influences students’ academic achievement as well as their health. According to our model, students’ health acts as a mediator between the quality of schools and students’ academic achievement.     

Realizing Racial and Ethnic Neighborhood Preferences? Exploring the Mismatches Between What People Want,Where They Search,and Where They Live

The housing search process is an overlooked mechanism in the scholarly research that seeks to understand the causes of persistent racial residential segregation in the United States. Past research has explored in detail the preferences people hold in terms of the racial and ethnic composition of their neighborhoods, and more recently some have also examined the correspondence between racial and ethnic neighborhood preferences and current neighborhood racial/ethnic composition. But an intermediate stage—the racial/ethnic composition of where people search—has not been investigated. We analyze a subsample (n = 382) from the 2004–2005 Chicago Area Study to demonstrate the value of systematically studying the matches—or mismatches—between preferences, search locations, and neighborhood outcomes. We find that for whites, not only their current neighborhoods but also the neighborhoods in which they search for housing have larger percentages of whites than they say they prefer. In contrast, blacks—and to a lesser extent Latinos—search in neighborhoods that correspond to their preferences, but reside in neighborhoods with a larger percentage own group. Logistic regression analyses reveal that mismatches are associated with both a lack of information and inadequate finances, but also may be due to socially desirable responding for whites in particular. Our results provide suggestive evidence of the importance of unpacking the search process more generally and draw attention to what are likely to be productive new future data collection efforts as well as an area potentially ripe for policy interventions.     

Family and neighborhood sources of socioeconomic inequality in children’s achievement

We examined family and neighborhood sources of socioeconomic inequality in children’s reading and mathematics achievement using data from the 2000–2001 Los Angeles Family and Neighborhood Survey. To describe inequality in achievement scores, we used Gini coefficients and concentration indices and multilevel regression models. We found no inequality in children’s achievement by family income when other variables in the model were held constant. Mother’s reading scores and average neighborhood levels of income accounted for the largest proportion of inequality in children’s achievement. Neighborhood economic status appears to be strongly associated with children’s skills acquisition.     

Sequential Neighborhood Effects: The Effect of Long-Term Exposure to Concentrated Disadvantage on Children’s Reading and Math Test Scores

Prior research has suggested that children living in a disadvantaged neighborhood have lower achievement test scores, but these studies typically have not estimated causal effects that account for neighborhood choice. Recent studies used propensity score methods to account for the endogeneity of neighborhood exposures, comparing disadvantaged and nondisadvantaged neighborhoods. We develop an alternative propensity function approach in which cumulative neighborhood effects are modeled as a continuous treatment variable. This approach offers several advantages. We use our approach to examine the cumulative effects of neighborhood disadvantage on reading and math test scores in Los Angeles. Our substantive results indicate that recency of exposure to disadvantaged neighborhoods may be more important than average exposure for children’s test scores. We conclude that studies of child development should consider both average cumulative neighborhood exposure and the timing of this exposure.     

America's children: mixed prospects

The prospects of US children are uneven and uncertain. Today's youngsters are more apt to have fewer siblings, come from a broken home, have a working mother, and pass time as a "latchkey kid." More children are in child care than in the past and there has been a significant move toward center-based care. Increasingly, preschool-age children, particularly from relatively well-off families, are enrolled in prekindergarten educational settings. Declining family size and recent American prosperity have created material well-being for most of today's children. But the development of an underclass has also increased the number of children trapped in poverty. The stagnant wages of the "working poor" and the growing number of mother-only households have exacerbated income inequality among children from different family circumstances. The decline in educational achievement scores, which characterized the 1970s, has, for the moment at least, ended and the average school performance even improved slightly in the 1980s. In addition, more students, especially black students, completed high school in the 1980s. And the physical health of the average American child has improved dramatically since 1960. Most American children lead happy, healthy lives and several trends portend well for the future of most youngsters. But the picture is marred by the problematic future of the children of the underclass and the uncertain psychological impact of America's transformed family life.     

Life Experiences,Locus of Control,and School Satisfaction in Adolescence

This research investigated models of theinterrelationships among adolescents' lifeexperiences, locus of control, and schoolsatisfaction reports. Demographic variables(e.g., SES) did not relate to schoolsatisfaction. Environmental experiences (acutemajor events and chronic life experiences, bothpositive and negative) moderately related toadolescents' school satisfaction. Althoughadolescents' locus of control orientation didnot moderate school satisfaction, it didmediate the relationship between negative lifeexperiences and school satisfaction. It wasconcluded that theories of adolescent schoolsatisfaction should incorporate intrapersonalcharacteristics as well as environmentalstressors and resources. The promotion ofpositive attitudes toward school will likelynecessitate attention to a variety of schooland non-school contextual factors (e.g., familyresources and stressors) in addition tointrapersonal risk and protective factors.     

Migration background and educational tracking

Research on immigrants’ educational disadvantages documents substantial immigrant–native achievement gaps in standardized student assessments. Exploiting data from the German PIRLS extension, we find that second-generation immigrants also receive worse grades and teacher recommendations for secondary school tracks than natives, which cannot be explained by differences in student achievement tests and general intelligence. Second-generation immigrants’ less favorable socioeconomic background largely accounts for this additional disadvantage, suggesting that immigrants are disproportionately affected by prevailing social inequalities at the transition to secondary school. We additionally show that differences in track attendance account for a substantial part of the immigrant–native wage gap in Germany.     

Causes and consequences of early-life health

We examine the consequences of child health for economic and health outcomes in adulthood, using height as a marker of childhood health. After reviewing previous evidence, we present a conceptual framework that highlights data limitations and methodological problems that complicate the study of this topic. We then present estimates of the associations between height and a range of outcomes—including schooling, employment, earnings, health, and cognitive ability—measured in five data sets from early to late adulthood. These results indicate that, on average, taller individuals attain higher levels of education. Height is also positively associated with better economic, health, and cognitive outcomes. These associations are only partially explained by the higher average educational attainment of taller individuals. We then use data from the National Longitudinal Survey of Youth 1979 Children and Young Adults survey to document the associations between health, cognitive development, and growth in childhood. Even among children with the same mother, taller siblings score better on cognitive tests and progress through school more quickly. Part of the differences found between siblings arises from differences in their birth weights and lengths attributable to mother’s behaviors while pregnant. Taken together, these results support the hypothesis that childhood health influences health and economic status throughout adulthood.     

Social Indicators of Substance Abuse Prevention: A Need-Based Assessment

We combine a variety of census and archival data to assess the relationships between social area characteristics and substance use. We found a substantial association between social area characteristics and substance use. We focus on intra and inter community, family, school and individual domain correlations to produce a prevention need-based score to rank communities from high to low need areas. Our analyses support the general risk and protective factor model advocated by Hawkins et al. (1992). As an important outcome of this work we suggest an objective criterion for selecting variables for the final model of the social indicators; suggest a set of weights for the selected factors and validate the selected factors with regard to substance abuse by linking the social indicator database to substance abuse outcome measures from another independent database. The selection criterion was based on intra domain correlations and proved to be robust. The weights were proportional to the information conveyed by each extracted factor. Analyses of intra-domain correlations are useful in identifying the types of prevention programs needed for each municipal area. Analyses of inter-domain correlations resulted in producing an overall need score based on social area characteristics. Many of the domains revealed more than one dimension, especially the school and the community/environment domains. Our analysis supports the use of social area characteristics in predicting the need for substance abuse prevention and treatment. It also suggests cautious and well informed decisions in selecting the indicators for a need based model.     

Education Gains Attributable to Fertility Decline: Patterns by Gender,Period, and Country in Latin America and Asia

We investigate the heterogeneity across countries and time in the relationship between mother’s fertility and children’s educational attainment—the quantity-quality (Q-Q) trade-off—by using census data from 17 countries in Asia and Latin America, with data from each country spanning multiple census years. For each country-year, we estimate micro-level instrumental variables models predicting secondary school attainment using number of siblings of the child, instrumented by the sex composition of the first two births in the family. We then analyze correlates of Q-Q trade-off patterns across countries. On average, one additional sibling in the family reduces the probability of secondary education by 6 percentage points for girls and 4 percentage points for boys. This Q-Q trade-off is significantly associated with the level of son preference, slightly decreasing over time and with fertility, but it does not significantly differ by educational level of the country.