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.     

Comment: there may be compositional effects,but they do not work that way*

This analysis joins the debate on how declines in marriage have shifted the composition of the unmarried and married populations in the United States, and how compositional shifts have affected nonmarital birth rates. Gray, Stockard, and Stone (2006) presented one model for compositional effects that Ermisch (2009) challenged with alternative statistical tests. I propose an alternative model for compositional shifts based not on theory but on observed marriage and fertility patterns. The results from this alternative model are consistent with Ermisch’s findings yet support Gray et al.’s general case that compositional effects have had an important infiuence on nonmarital birth rates.     

A Flexible Approach for the Decomposition of Rate Differences

Conventional methods of decomposing the difference between two rates, such as Kitagawa's classic component analysis, are confined to taking the average of compositional differences. I propose a more general modeling approach involving three steps: (1) A system of equations with the various additive components of the rate difference is set up; (2) unknowns (refined rate differences) are estimated with Clogg's purging method; (3) the components are calculated. I use an example of U.S. mortality data to compare the proposed method with the conventional ones. The method can be generalized to decompositions for multiple groups and for multiple confounding factors. Kitagawa's method is a special case of this general approach.     

The importance of demographic analyses in state- and local-level policy evaluations: A case study analysis of property taxes in Texas,USA

The reluctance of policy-makers to incorporate detailed demographic analyses in policy analyses often means that population composition is ignored in state and local policy evaluations. This article uses standard demographic projection, standardization and rate decomposition techniques to examine the implications of changing population composition for the property tax revenue base of Texas. The authors find that if current socioeconomic differentials persist into the future, projected compositional changes in the household population of Texas will significantly impact property tax revenues. Thus revenue projections based on aggregate growth and current average property value would seriously overestimate future property tax revenues in Texas because changes in the composition of the population lead to disproportionate growth in households likely to live in lower valued housing unite. The results indicate that the continuing focus of state and local policy-makers on changes in population size alone may be ill-advised and demonstrate the increasing importance of local- and state-level demographic analysis in a period of increasing Federal devolution of service provision.     

The savings behavior of temporary and permanent migrants in Germany

This paper examines the relative savings position of migrant households in West Germany paying particular attention to differences between temporary and permanent migrants. Our findings reveal significant differences in the savings rates between German natives and immigrants. If remittances are treated as savings, however, migrants who intend to return to their home country save significantly more than comparable natives. The results of a decomposition analysis indicate that slightly more than half of the differences in the savings rate between Germans and permanent migrants and almost 70% between temporary and permanent migrants can be attributed to differences in observable characteristics.     

Social background composition and educational growth

This paper examines the impact of intercohort changes in social background composition on changes in grade progression rates at selected schooling levels. It presents formal arguments that the relative and absolute effects of background composition on grade progression rates should decline over levels of schooling, and using data for white males born beteen 1907 and 1951, offers empirical support for these arguments. Whereas twentieth century increases in average educational attainment are primarily due to increases in grade progression rates at the elementary and secondary levels, future growth must occur through increases in transition rates beyond high school, given the near universality of high school graduation for cohorts born at midcentury. Our analysis shows that postsecondary progression rates are much less responsive to changes in family background composition than rates in the schooling process. Despite intercohort changes in background composition that are increasingly favorable to educational attainment, future educational growth may be slower than past growth because compositional effects on average attainment will be through progression rates where the effects are weak.     

Footprints in the Sand: Personal,Psychological, and Relational Profiles of Religious,Spiritual, and Atheist LGB Individuals

The present study offers a comparison of the demographic features and lived experiences of lesbian, gay, and bisexual (LGB) individuals with religious, spiritual, or atheist (R/S/A) belief systems. In this sample of 212 participants, the relationship of participants’ R/S/A beliefs to personal variables (e.g., age, gender, race), mental health variables (e.g., life satisfaction, psychological distress, internalized heterosexism, self-esteem), and relational variables (e.g., outness, connection to LGBTQ communities) were assessed. Correlational analyses indicated that level of R/S/A belief was unrelated to self-esteem, life satisfaction, or psychological distress; however, greater religious belief was correlated positively and significantly with internalized heterosexism and outness as LGB. To test the interactions of R/S/A beliefs and categorical variables of interest (e.g., race), log-linear analyses with follow-up chi-square tests were conducted. Findings suggested more similarities than differences for LGB people across R/S/A systems of belief. Limitations and implications for future research are discussed.     

Infant Mortality by Cause of Death: Main and Interaction Effects

We examine infant mortality among the 1980-1982 live birth cohorts in the state of Florida, specific to five categories of underlying cause of death: infections, perinatal conditions, delivery complications, congenital malformations, and sudden infant death syndrome. The gross and net effects of eight categorical and continuous independent variables, along with 11 first-order interactions, are examined with microlevel data through the use of multinomial logit regression. Findings suggest the complexity of variable effects by cause of death and indicate the simultaneous importance of biological and social factors. It is important that the pattern of interactions suggests an overall dependence of infant life chances on social circumstances. It also suggests that these effects are attenuated for some variables and causes of death at lower birth weights, probably due to advances in health care organization, access, and technology.     

Trends in Child Poverty in Hong Kong Immigrant Families

In Hong Kong, child poverty is a serious social problem which may lead to intergenerational poverty, but nevertheless only a few studies have examined this issue, particularly for immigrant families. Using Census data (5 %) from 1981, 1991, 2001, and 2011, we assessed child poverty rates in the past three decades and identified key variables contributing to changes in the risk of child poverty for both immigrant and local families. Our results indicate that child poverty rates in Hong Kong-born families have fluctuated between 14.3 and 15.8 % over the past three decades, while for immigrant families they have increased steadily and substantially from 18.1 % in 1981 to 36.5 % in 2001 and then to 37.5 % in 2011. We show that the increase in immigrant child poverty is associated with changes in the Hong Kong economy that have made it more difficult for such families to adapt to the host society, especially in the 1990s and that this negative effect offset the positive influence of compositional changes among this group of immigrant families in terms of parental education levels and family size. The gap between immigrant and local families in terms of child poverty risk is mainly due to the fact that during the 1990s the negative effect of contextual changes in Hong Kong was cancelled out by the beneficial impact of compositional changes for local families, but not for immigrant families where the latter effect was minimal.     

Poverty and choice of marital status: A self-selection model

Over the last few decades in the United States, the poverty rate for female-headed families has been about five times the poverty rate for other family types. This paper addresses the question of why, in general, female-headed families are so much poorer than other families. Recognizing that individuals choose their own marital status, a self-selection model is used to identify the factors which determine the poverty rates for married-couple families, families headed by females with no husband present, and families headed by males with no wife present. The following control variables are found to be important determinants of poverty for all three family types: education of family members; age, race, disability, and unemployment of the family head; geographical location, size and composition of the family. Both married-couple families and male-headed families are found to be less poor than female-headed families mainly because the marginal effects of the control variables, and to a lesser extent the mean levels of the control variables, favor the former two types of families over female-headed families.     

Racial Differences in Neighborhood Attainment: The Contributions of Interneighborhood Migration and <Emphasis Type="Italic">In Situ</Emphasis> Change

Recent research shows that as they age, blacks experience less improvement than whites in the socioeconomic status of their residential neighborhoods. Using data from the Panel Study of Income Dynamics and U.S. decennial censuses, we assess the relative contribution of residential mobility and in situ neighborhood change (i.e., change surrounding nonmobile neighborhood residents) to the black-white difference in changes in neighborhood socioeconomic status and racial composition. Results from decomposition analyses show that the racial difference in in situ neighborhood change explains virtually all the black-white difference in neighborhood socioeconomic status change. In contrast, racial differences in residential mobility explain the bulk of the black-white difference in neighborhood racial compositional change. Among blacks and whites initially residing in low-income and predominantly minority neighborhoods, whites experience a much greater increase than blacks in the socioeconomic status of their neighborhoods and the percentage of their neighbors who are non-Hispanic white. These differences are driven primarily by racial differences in the economic and racial composition of local (intracounty) movers’ destination neighborhoods and secondarily by black-white differences in the likelihood of moving long distances.     

The categorical generation of organizational inequality: A comparative test of Tilly's durable inequality

This paper develops a theoretical and methodological application of Tilly's [Tilly, C. (1998). Durable inequality. Berkeley, CA: University of California Press] assertions that inequalities are inherently relational and categorical. We focus on the specific proposition that inequalities are exaggerated when categorical social distinctions are mapped onto positional distinctions internal to organizations. Using samples of Australian and U.S. organizations we examine the influence of sex and other status distinctions upon between-class wage inequality. In both countries class inequality is exaggerated when workers are women and managers men. These between-class inequality producing processes are also present for other categorical distinctions available in the data we use (education, permanent vs. temporary worker, dominant vs. marginal linguistic group in Australia, permanent vs. temporary worker and white vs. non-white in the U.S.). In the U.S. the coefficients for relational sex composition are twice as large as in Australia, suggesting historical–institutional differences between the countries enables gender to exert a stronger influence on between-class inequality in the U.S. We further examine the institutional differences in these categorical bases for inequality by examining the extent to which they vary within the two countries as a function of two historically relevant institutional distinctions in wage setting regimes—formalization in the U.S. and centralized wage awards in Australia. As expected these institutional differences shape the extent and type of between-class wage inequality. We conclude that researchers should move methodologically towards observing relations within organizations to reflect the theoretical advances of the past two decades.     

Correlates of divorce in the U.S.S.R.

The theoretical rationale of this study is that conditions associated with divorce reside outside the family within a broader social system where the family finds itself located. The absence of major differences in divorce law from one place to another within the Soviet Union makes it possible to explore this hypothesis by examining areal differentials in divorce rates. Crude divorce rates and crude marriage rates for 1960 have been published in Vestnik Statistiki for 109 political-administrative areas in the Soviet Union. Several indicators of modernization are available for the same areas from the 1959 U.S.S.R. Census of Population. About 80 per cent of the variation among areas with respect to the crude divorce rate is accounted for by six variables: the crude marriage rate, the percentage of urban population, and the employee-worker ratio in the labor force, each of which is positively associated with the divorce rate; and the proportion of poorly educated women, the ratio of children to adult males, and the mean household-family size, each of which is negatively associated with the divorce rate.     

Unemployment and the homicide rate: A paradox resolved?

The heretofore perplexing relationship between the unemployment and homicide rates is reevaluated through a dynamic, macro social indicator model of the postwar United States. Whereas prior research has failed to demonstrate consistently an empirical connection between economic conditions and crime rates, it is shown here that when attention is given to both the level of unemployment and recent changes in unemployment, the relationship between the unemployment rate and the homicide rate becomes more intelligible. The level of unemployment is negatively related to the homicide rate while annual changes in unemployment are positively related to the homicide rate. These paradoxical effects of unemployment remain even after controlling for other theoretically-relevant variables. Interpretation of the results revolves around the dichotomy of motivation and opportunity as components of human behavior.     

Educational stratification by ethnicity in China: Enrollment and attainment in the early reform years

Using evidence about educational disparities, this article demonstrates the need for attention to minority populations in studies of social stratification in China. Analyses of data from a 1992 survey of children demonstrate substantial ethnic differences in enrollment among rural 7- to 14 year olds, with rates for ethnic Chinese boys roughly double those for girls from certain ethnic groups. Multivariate analyses indicate that the ethnic gap can be attributed, in part, to compositional differences in geographic location of residence and socioeconomic background. There is no general tendency of a greater gender gap for minorities than for the ethnic Chinese, but significant differences in the gender gap emerge across individual ethnic groups. Together with evidence from census data showing that ethnic disparities in junior high school transitions increased between 1982 and 1990, these results stress the continuing significance of ethnicity as a fundamental factor that conditions status attainment opportunities in China.     

Demographic Dynamics and Per Capita Environmental Impact: Using Panel Regressions and Household Decompositions to Examine Population and Transport

This paper examines how demographic changes can help explain changes/differences in personal transport using both International Energy Agency country panel regressions and decompositions of U.S. household data. An environmental Kuznets curve for per capita road energy use was rejected; instead, the relationship between income and road energy was found to be monotonic. The ideas that more densely populated countries have less personal transport demands, the young drive more, and smaller households mean higher per capita driving were confirmed. The household decompositions indicated that changes in demand were more important than compositional changes; yet, during some periods the compositional change component was considerable.     

A Stalled Revolution? Change in Women's Labor Force Participation during Child-Rearing Years,Europe and the United States 1996–2016

While women's labor force participation rates (LFPRs) in the United States stalled over the last quarter-century, European countries exhibited a variety of trajectories. We draw on demographic and gender theories of women's life course to understand changes in women's LFPR during their prime child-rearing years. We build expectations about how aggregate trends may be driven by shifts in the prevalence of key demographic events such as child-rearing (i.e., compositional) versus shifts in the association of these events with women's LFP (i.e., behavioral). We use data from the European Union Labour Force Surveys and the US Current Population Survey in Kitagawa–Blinder–Oaxaca decomposition models to decompose trends in women's LFPR from 1996 to 2016 across 18 countries by educational attainment, partnership status, and parental status for women aged 20–44. Compositional and behavioral shifts positively contribute to higher LFPR in most countries, but lower rates in several others. Behavioral change is not widely shared across groups of women. Partnered mothers without college degrees are the main contributors to behavioral change and show the greatest variability across countries. We suggest greater research attention to this “missing middle,” as their LFP is key to understanding change during this period.     

Women,Demography, and Politics: How Lower Fertility Rates Lead to Democracy

Where connections between demography and politics are examined in the literature, it is largely in the context of the effects of male aspects of demography on phenomena such as political violence. This project aims to place the study of demographic variables’ influence on politics, particularly on democracy, squarely within the scope of political and social sciences, and to focus on the effects of woman-related demographics—namely, fertility rate. I test the hypothesis that demographic variables—female-related predictors, in particular—have an independent effect on political structure. Comparing countries over time, this study finds a growth in democracy when fertility rates decline. In the theoretical framework developed, it is family structure as well as the economic and political status of women that account for this change at the macro and micro levels. Findings based on data for more than 140 countries over three decades are robust when controlling not only for alternative effects but also for reverse causality and data limitations.     

A Re-Examination of the Suicide Rates in Taiwan

This paper examines the suicide rates of 23 cities and counties in Taiwan from 1983 to 2001. We found that a combination of economic and social variables can significantly account for the tremendous variations in suicide rates across Taiwan’s cities and counties over the last two decades. The level of income per capita in a region appears as the most important predictor of suicide rates. However, some sociological correlates (such as divorce rate) which were less powerful in explaining suicide rate variations in the earlier study appear to exert more significant influence over suicide rates when eight more recent years of information are added, as in the current study. This study also uncovered several gender differences in the determination of regional suicide rates, such as the proportion of elderly population in the region, and the impacts of earthquake and unemployment. Furthermore, this study confirmed the linkages between natural disaster (earthquake) and suicide, between economic and social miseries (unemployment and divorce, respectively) and suicide, as well as those between demographics (aboriginal and elderly sub-population groups) and suicide. This may help to identify high-risk groups or areas where suicide prevention and intervention efforts should be concentrated on or directed to. Lastly, the local suicide crisis-intervention agencies are found to be significantly effective in reducing suicide rates of the community they serve.