Natural disasters and local demographic change in the United States

Classic studies on local demographic consequences of natural disasters in the United States are now more than 30 years old, raising questions about how and to what extent relevant patterns have changed over intervening years, as the number and cost of recorded environmental hazards have increased. This study examines these questions at the county level for the nation as a whole, using recent census and hazards data in conjunction with statistical methods that account for spatial dependencies among neighboring counties. Results indicate a positive correlation between cumulative disaster impact during the 1990s and changes in local population and housing units; they also reveal patterns of increased socioeconomic polarization among local residents. These findings differ from earlier studies and put recent case studies in broader context, suggesting that current disaster recoveries contribute to the growth of larger and more unequal populations in environmentally hazardous places.     

Environmental Hazards,Migration, and Race

This study contributes to our understanding of the association between internal migration patterns and environmentally hazardous facilities, with a focus upon race-specific outmigration at the county-level, nationwide. Among research suggesting inequalities with regard to the social distribution of environmental risk, selective migration is often implied to be a key dynamic leading to differential exposure to proximate environmental hazards. Nonetheless, the models presented here provide no evidence of differential migratory response by race to environmentally hazardous facilities, net of a wide array of socioeconomic controls for labor force opportunity, climate, and demographic structure. Future research should consider these associations at more precise geographies and/or at the individual level.     

Reconceptualizing Measures of Black–White Disparity in Infant Mortality in U.S. Counties

Population Research and Policy Review - The magnitude of Black–White differences in infant mortality rates varies considerably across U.S. counties. Many prior studies of racial disparities...     

Black-White Disparities in Life Expectancy: How Much Can the Standard SES Variables Explain?

This article quantifies the extent to which socioeconomic and demographic characteristics can account for black-white disparities in life expectancy in the United States. Although many studies have investigated the linkages between race, socioeconomic status, and mortality, this article is the first to measure how much of the life expectancy gap remains after differences in mortality are purged of the compositional differences in socioeconomic characteristics between blacks and whites. The decomposition is facilitated by a reweighting technique that creates counterfactual estimation samples in which the distribution of income, education, employment and occupation, marital status, and other theoretically relevant variables among blacks is made to match the distribution of these variables among whites. For males, 80% of the black-white gap in life expectancy at age 1 can be accounted for by differences in socioeconomic and demographic characteristics. For females, 70% percent of the gap is accounted for. Labor force participation, occupation, and (among women only) marital status have almost no additional power to explain the black-white disparity in life expectancy after precise measures for income and education are controlled for.     

Racial differences in infant mortality by cause of death: The impact of birth weight and maternal age

This research examines racial disparities in infant mortality, overall and separately according to cause of death. Using linked birth and death records for the 1975 cohort of live births in Florida, racial differences are initially described and then explained statistically as a product of the distribution of births by birth weight and maternal age. The impact of birth weight is more pronounced than is the effect of maternal age. The analysis suggests the potential utility of examining infant mortality separately by cause of death. Based on the findings, we argue for systematic research focused on factors affecting birth weight.     

Environmental Equity: The Demographics of Dumping

Research addressing “environmental equity” and “environmental racism” claims that facilities for treatment, storage, and disposal of hazardous wastes (TSDFs) are located disproportionately in minority areas. In the first comprehensive study of TSDFs to use census tract-level data, we find no nationally consistent and statistically significant differences between the racial or ethnic composition of tracts which contain commercial TSDFs and those which do not. TSDFs are more likely to be found in tracts with Hispanic groups, primarily in regions with the greatest percentage of Hispanics. Different geographic units of analysis elaborate on, but are consistent with, these results.     

The neighborhood context of racial and ethnic disparities in arrest

This study assesses the role of social context in explaining racial and ethnic disparities in arrest, with afocus on how distinct neighborhood contexts in which different racial and ethnic groups reside explain variations in criminal outcomes. To do so, I utilize a multilevel, longitudinal research design, combining individual-level data with contextual data from the Project on Human Development in Chicago Neighborhoods (PHDCN). Findings reveal that black youths face multiple layers of disadvantage relative to other racial and ethnic groups, and these layers work to create differences in arrest. At the family level, results show that disadvantages in the form of unstable family structures explain much of the disparities in arrest across race and ethnicity. At the neighborhood level, black youths tend to reside in areas with both significantly higher levels of concentrated poverty than other youths as well as lower levels of collective efficacy than white youths. Variations in neighborhood tolerance of deviance across groups explain little of the arrest disparities, yet tolerance of deviance does influence the frequency with which a crime ultimately ends in an arrest. Even after accounting for relevant demographic, family, and neighborhood-level predictors, substantial residual arrest differences remain between black youths and youths of other racial and ethnic groups.     

The misuse of biology in demographic research on racial/ethnic differences: A reply to van den oord and rowe

In an article in the August 2000 issue of Demography titled "Racial Differences in Birth Health Risk: A Quantitative Genetic Approach," van den Oord and Rowe attempted to study the genetic and environmental factors contributing to the black/white gap in infant birth weight. Their findings indicate that this difference may be explained by shared environmental influences rather than by fetal genes. Yet the authors insisted in their conclusions that a strong genetic component still must play a role in determining the racial gap in birth weight, if only through maternal effects. The incompatibility between the authors' findings and their conclusions is due largely to a weakness in their conceptualization of the relationship between race and biology. Their insistence that racial groups represent discrete genetic entities, coupled with a failure to account for interactions between biological and environmental processes, illustrates the methodological and ethical problems that threaten future interdisciplinary research on racial/ethnic disparities in health.     

The Simultaneous Effects of Socioeconomic Disadvantage and Child Health on Children’s Cognitive Development

Family socioeconomic status (SES) and child health are so strongly related that scholars have speculated child health to be an important pathway through which a cycle of poverty is reproduced across generations. Despite increasing recognition that SES and health work reciprocally and dynamically over the life course to produce inequality, research has yet to address how these two pathways simultaneously shape children’s development. Using longitudinal data from the Fragile Families and Child Wellbeing Study and marginal structural models, we ask three questions: (1) how does the reciprocal relationship between socioeconomic disadvantage and child health affect estimates of each circumstance on children’s cognitive development?; (2) how do their respective effects vary with age?; and (3) do family SES and child health have differential effects on cognitive development across population subgroups? The results show that the negative effects of socioeconomic disadvantage and poor health are insensitive to their reciprocal relationships over time. We find divergent effects of socioeconomic disadvantage and poor health on children’s cognitive trajectories, with a widening pattern for family SES effects and a leveling-off pattern for child health effects. Finally, the effects of socioeconomic disadvantage are similar across all racial/ethnic groups, while the effects of child health are largely driven by white children. We discuss theoretical and policy implications of these findings for future research.     

Understanding links between adolescent health and educational attainment

The educational and economic consequences of poor health during childhood and adolescence have become increasingly clear, with a resurgence of evidence leading researchers to reconsider the potentially significant contribution of early-life health to population welfare both within and across generations. Meaningful relationships between early-life health and educational attainment raise important questions about how health may influence educational success in young adulthood and beyond, as well as for whom its influence is strongest. Using data from the National Longitudinal Survey of Youth 1997, I examine how adolescents’ health and social status act together to create educational disparities in young adulthood, focusing on two questions in particular. First, does the link between adolescent health and educational attainment vary across socioeconomic and racial/ethnic groups? Second, what academic factors explain the connection between adolescent health and educational attainment? The findings suggest that poorer health in adolescence is strongly negatively related to educational attainment, net of both observed confounders and unobserved, time-invariant characteristics within households. The reduction in attainment is particularly large for non-Hispanic white adolescents, suggesting that the negative educational consequences of poor health are not limited to only the most socially disadvantaged adolescents. Finally, I find that the link between adolescent health and educational attainment is explained by academic factors related to educational participation and, most importantly, academic performance, rather than by reduced educational expectations. These findings add complexity to our understanding of how the educational consequences of poor health apply across the social hierarchy, as well as why poor health may lead adolescents to complete less schooling.In a presidential address to the Population Association of America, Palloni (2006) emphasized the need for research on early-life health as a mechanism in the intergenerational transmission of socioeconomic status. Although poor health is well known as a consequence of childhood and family socioeconomic conditions, it is also clear that illness during childhood and adolescence has lasting educational and socioeconomic effects (Case, Fertig, and Paxson 2005; Conley and Bennett 2000; Smith 2005). What remains less clear is how health early in life influences educational success in young adulthood and beyond. Do those with a health disadvantage graduate from high school at lower rates, for example, because they perform poorly in school or because they and their families develop reduced expectations for the future? In addition, how do race/ethnicity and socioeconomic status complicate these relationships? Our understanding of how health’s influence on educational attainment differs across groups is unclear.This article considers these complexities by asking several questions. It confirms that health during adolescence is strongly negatively associated with educational attainment and then examines this relationship in greater depth than is typical. First, I examine variation in the link between health and educational attainment along socioeconomic and racial/ethnic lines. Are the families of adolescents in poorer health better able to mitigate the negative educational consequences of a condition if they are socially and/or economically advantaged? Or do youths in these families suffer an equal or greater disadvantage? Second, I evaluate the role of academic factors—specifically, educational participation, performance, and expectations—that may explain the connection between adolescents’ health and educational attainment. I examine these questions with data from the National Longitudinal Survey of Youth 1997 (NLSY97), with an overall goal of understanding the ways in which health and social status act together to create educational disparities in the early life course.     

Does race matter? Children's height in Brazil and South Africa

I examine racial differences in child stunting in mid-1990s South Africa and Brazil, two multiracial societies with different histories of legal support for racial discrimination. Using data from nationally representative household samples linked to community-level measures, the analysis shows that racial inequality in the distribution of socioeconomic resources across households and communities explains much of the racial difference in stunting in both countries. Even after these factors are controlled, however, the results indicate that in South Africa, nonwhite children are still at greater risk of growth faltering than are white children. The nature of socioeconomic and racial differences in children's growth is examined, and major determinants are discussed. These findings suggest that although state-sanctioned racism may help to explain the greater racial inequality in stunting in South Africa than in Brazil, the eradication of a disadvantage for nonwhites will depend on changes in the same fundamental socioeconomic inequalities that characterize both nations.     

The Contribution of Health Care and Other Interventions to Black–White Disparities in Life Expectancy, 1980–2007

Black–white mortality disparities remain sizable in the United States. In this study, we use the concept of avoidable/amenable mortality to estimate cause-of-death contributions to the difference in life expectancy between whites and blacks by gender in the United States in 1980, 1993, and 2007. We begin with a review of the concept of “avoidable mortality” and results of prior studies using this cause-of-death classification. We then present the results of our empirical analyses. We classified causes of death as amenable to medical care, sensitive to public health policies and health behaviors, ischemic heart disease, suicide, HIV/AIDS, and all other causes combined. We used vital statistics data on deaths and Census Bureau population estimates and standard demographic decomposition techniques. In 2007, causes of death amenable to medical care continued to account for close to 2 years of the racial difference in life expectancy among men (2.08) and women (1.85). Causes amenable to public health interventions made a larger contribution to the racial difference in life expectancy among men (1.17 years) than women (0.08 years). The contribution of HIV/AIDS substantially widened the racial difference among both men (1.08 years) and women (0.42 years) in 1993, but its contribution declined over time. Despite progress observed over the time period studied, a substantial portion of black–white disparities in mortality could be reduced given more equitable access to medical care and health interventions.     

Absolute Change in Cause-Specific Infant Mortality for Blacks and Whites in the US: 1983–2002

This paper examines absolute change in infant mortality from 5 leading causes of death for whites and blacks over a 20 year period. Change in infant mortality varies by cause, race, and birth weight. Absolute decline in mortality from respiratory distress syndrome (RDS) and sudden infant death syndrome (SIDS) in the overall study population has been more rapid for black infants during the period after specific technological innovations were approved and behavioral practices were recommended for these conditions. For low birth weight infants, blacks experienced greater decline in mortality from SIDS and whites experienced greater decline in RDS mortality. Despite remarkable declines in mortality from these causes, relative racial disparities have increased over this time period. For the overall study population, blacks and whites experienced similar rates of mortality decline from congenital anomalies. Mortality decline from this cause among low birth weight infants occurred at a faster pace for whites. Mortality from causes for which no specific innovations were developed increased for blacks but remained relatively constant for whites. An analysis of absolute change complements the relative disparities approach by revealing the dynamics of change, thus providing a more complete understanding of changing racial disparities in infant mortality.     

United Nations/World Health Organization Meeting on Socio-Economic Determinants and Consequences of Mortality,Mexico City, 19-25 June 1979

The objectives of the United Nations/World Health Organization (WHO) Meeting on Socioeconomic Determinants and Consequences of Mortality, held in Mexico City in June 1979, were the following: to review the knowledge of differential mortality and to identify gaps in the understanding of its socioeconomic determinants and consequences; to discuss the methodological and technical problems associated with data collection and analysis; to consider the policy implications of the findings presented and to promote studies on the implications of socioeconomic differentials in mortality on social policy and international development strategies; to formulate recommendations and guidelines for the utilization of the 1980 round of population censuses for in-depth studies of mortality differentials; and to stimulate national and international research on differential mortality. Participants discussed the state of knowledge of socioeconomic differentials and determinants of mortality and described the socioeconomic measures available, the methods of data collection and analysis used, and the findings themselves. A number of characteristics had been employed in the study of differential mortality, and these could be grouped under the following headings: occupation; education; housing; income, wealth; family size; and place of residence. The techniques or methods used to analyze mortality were direct and indirect methods, and these are examined. Inequalities in mortality were found to be closely associated with inequalities in social and economic conditions. Any effort to reduce or remove those inequalities would have to be based on a clear understanding of their causes and interrelationships in order to succeed. Participants indicated a desire to see a resurgence of mortality research, and some research suggestions are outlined.     

The socioeconomic dimensions of brownfield cleanup in the Detroit region

Although the goal of brownfield development is to clean up and redevelop abandoned or underutilized properties in distressed urban neighborhoods, the racial and socioeconomic disparities of brownfield cleanups have not been adequately examined. This study combines the locations of brownfields with 1990 and 2000 US Census data in the Detroit region. Results reveal that brownfields located near socioeconomically disadvantaged neighborhoods tend to be cleaned up first. Brownfields located far from major roads also tend to receive priority. However, results also suggest that the amount of land devoted to industrial and/or commercial uses adjacent to brownfield sites is not significantly associated with the probability of brownfield sites being cleaned up. These findings indicate that the initial step of brownfield development—cleaning up environmentally contaminated properties—is heading in the right direction.     

Neighborhood Concentrated Disadvantage and Adult Mortality: Insights for Racial and Ethnic Differences

While racial and ethnic differences in mortality are pervasive and well documented, less is known about how mortality risk varies by neighborhood socioeconomic status across racial and ethnic identity. We conducted a prospective analysis on a sample of adults living at or below 300% poverty with 8 years of the National Health Interview Survey (N = 159,400) linked to 11,600 deaths to examine the association between neighborhood disadvantage and mortality for non-Hispanic whites, non-Hispanic blacks, and U.S.- and foreign-born Hispanics. Using multilevel logistic regression, we find that the probability of death from any cause for lower-income adults is higher in more-disadvantaged neighborhoods, compared to less-disadvantaged neighborhoods, but only for whites. The adjusted likelihood of death for blacks and foreign-born Hispanics is not associated with neighborhood disadvantage, and the likelihood of death for U.S.-born Hispanics is lower in more-disadvantaged neighborhoods. While future research and policy should focus on improving health-promoting resources in all communities, care should be given to better understanding why race/ethnic groups have differential mortality returns with respect to area-specific socioeconomic conditions.     

Does Multiracial Matter? A Study of Racial Disparities in Self-Rated Health

How do self-identified multiracial adults fit into documented patterns of racial health disparities? We assess whether the health status of adults who view themselves as multiracial is distinctive from that of adults who maintain a single-race identity, by using a seven-year (2001–2007) pooled sample of the Behavioral Risk Factor Surveillance System (BRFSS). We explore racial differences in self-rated health between whites and several single and multiracial adults with binary logistic regression analyses and investigate whether placing these groups into a self-reported “best race” category alters patterns of health disparities. We propose four hypotheses that predict how the self-rated health status of specific multiracial groups compares with their respective component single-race counterparts, and we find substantial complexity in that no one explanatory model applies to all multiracial combinations. We also find that placing multiracial groups into a single “best race” category likely obscures the pattern of health disparities for selected groups because some multiracial adults (e.g., American Indians) tend to identify with single-race groups whose health experience they do not share.     

Race,Remarital Status,and Infertility in 1910: More Evidence of Multiple Causes

The dominant approach to studying historical race-related fertility differences has been to limit samples to first-married and younger women. We argue that studying historical race-related fertility differences in the context of remarriage is also important: remarriage and fertility patterns are both rooted in the biosocial conditions that produce racial disparities in health. We employ a multiple causes framework that attributes variation in fertility patterns to voluntary limitation and involuntary factors (infecundity/subfecundity). We use data from the 1910 Integrated Public Use Microdata Series and estimate zero-inflated negative binomial models that simultaneously distinguish those who are infecund (vs. fecund) and estimate the number of remarital births among the fecund. Our approach allows us to evaluate historical remarital (in)fertility differences, accounting for marital, socioeconomic, and geographic influences on fecundity and fertility, while empirically accounting for the influence of children “missing” from the household due to mortality and fostering/aging out. Consistent with past studies that emphasized poorer African American health as a major influence on involuntary infertility, we find that African American women were more likely than white women to be in the always-zero (infecund) group and to have fewer remarital births. Supplemental analyses nuance these findings but indicate that these results are robust. Overall, we find support for a multiple-causes perspective: while the findings are consistent with the adoption of deliberate fertility control among urban and higher-status women at higher parities, remarital fertility differences in 1910 also reflected greater infecundity/subfecundity among subgroups of women, especially African American women.