Factors Associated With Temporal and Spatial Patterns in Suicide Rates Across U.S. States, 1976–2000

Using pooled cross-sectional time-series data for the 50 U.S. states over a 25-year period, this article examines how well four conceptual groups of social correlates—demographic, economic, social, and cultural factors—are associated with the 1976–2000 patterns in overall suicide rates and suicide by firearms and other means. Unlike past research that typically considers only one dimension, this analysis differentiates between spatial and temporal variation in suicide rates to determine whether and how social correlates operate differently in these two contexts. Results indicate that suicide rates correspond closely to social correlates. Within U.S. states, lower overall suicide rates between 1976 and 2000 were associated with demographic change (e.g., larger numbers of foreign-born) as well as with fewer numbers of Episcopalians. Across U.S. states, variation in overall suicide rates over the period was related to demographic (percentage male), economic (per capita income), social (percentage divorced), and cultural (alcohol consumption and gun ownership) factors. However, findings differ importantly by type of suicide, and across time and space. Reasons for these distinct patterns are discussed.     

Non-poor Components of Population Growth and Immigration in the U.S., 1990–2010

Traditional measures of poverty are informative in indicating the degree of economic deprivation in a population at a cross-sectional point in time, but they do not consider growth in the size of the non-poverty population. We develop a measure of non-poverty population growth in order to explore whether it constitutes a useful indicator of an important demographic dynamic. We illustrate our approach with an analysis of the U.S. states using Census and American Community Survey data from 1990, 2000, and 2010. The results indicate that the extent to which the non-poor population increased across states is uncorrelated with the initial poverty rate as conventionally measured. Broken down by nativity, the findings further show that some states with official poverty rates above the national average (e.g., Arizona, Georgia, and Texas) nonetheless had some of the highest rates of non-poor population growth among less skilled immigrants. By contrast, other states with official poverty rates below the national average (e.g., Connecticut, New Hampshire, and Vermont) often had low rates of non-poor population growth among less skilled immigrants. These findings suggest that low initial poverty rates do not necessarily contribute substantially to the alleviation of global poverty through the immigration of less skilled persons from less developed nations. However, the rate of non-poor population growth among less skilled immigrants also appears to be uncorrelated with state variation in minimum wages even after taking into account population density and median home value.     

Immigrant residential segregation in U.S. metropolitan areas, 1990–2000

This paper examines the extent of spatial assimilation among immigrants of different racial and ethnic origins. We use restricted data from the 1990 and 2000 censuses to calculate the levels of dissimilarity by race and Hispanic origin, nativity, and year of entry, and then run multivariate models to examine these relationships. The findings provide broad support for spatial assimilation theory. Foreign-born Hispanics, Asians, and blacks are more segregated from native-born non-Hispanic whites than are the U.S.-born of these groups. The patterns for Hispanics and Asians can be explained by the average characteristics of the foreign-born that are generally associated with higher levels of segregation, such as lower levels of income, English language ability, and home ownership. We also find that immigrants who have been in the United States for longer periods are generally less segregated than new arrivals, and once again, much of this difference can be attributed to the characteristics of immigrants. However, patterns also vary across groups. Levels of segregation are much higher for black immigrants than for Asian, Hispanic, and white immigrants. In addition, because black immigrants are, on average, of higher socioeconomic status than native-born blacks, such characteristics do not help explain their very high levels of segregation.     

Drought,Migration and Population Growth in the Sahel: The Case of the Malian Gourma: 1900–1991

This paper explores the development of the population of the Gourma in Northern Mali from the beginning of this century to the present. As part of Northern Sahel, the area has been hard-hit by at least four droughts this century and is among the least developed in Mali. The data used include the available population censuses, colonial records and recent survey research. The droughts of 1973 and 1984 may have increased child mortality, but the most important effects may have been short-term reductions in fertility, as well as increased migration. While approximately 30 per cent of adult men are absent, the overall picture of migration is much more complex than simply one of emigration, as migration into the Gourma and internal redistribution of population also play an important role.     

Distinguishing the geographic levels and social dimensions of U.S. metropolitan segregation, 1960–2000

In this article, we assess trends in residential segregation in the United States from 1960 to 2000 along several dimensions of race and ethnicity, class, and life cycle and present a method for attributing segregation to nested geographic levels. We measured segregation for metropolitan America using the Theil index, which is additively decomposed into contributions of regional, metropolitan, center city-suburban, place, and tract segregation. This procedure distinguishes whether groups live apart because members cluster in different neighborhoods, communities, metropolitan areas, or regions. Substantively, we found that the segregation of blacks decreased considerably after 1960 largely because neighborhoods became more integrated, but the foreign born became more segregated largely because they concentrated in particular metropolitan areas. Class segregation increased between 1970 and 1990 mainly because the affluent increasingly clustered in specific metropolitan areas and in specific municipalities within metropolitan areas. The unmarried increasingly congregated in center cities. The main purpose of this article is to describe and illustrate this multilevel approach to studying segregation.     

Temporal and spatial trends in the sex ratio at birth in Greece, 1960–2006: exploring potential environmental factors

Numerous studies have shown that the sex ratio at birth, defined as the relative number of male and female births, may be dramatically lower for small cohorts with high chemical exposures. Meanwhile, reports from different countries have shown recent declines in male births for the general population, perhaps implicating environmental factors. The sex ratio at birth has, therefore, been suggested by some as a sentinel environmental health indicator. This paper examines variation observed in sex ratio at birth in Greece since 1960. The analysis incorporates a number of demographic parameters including the age and nationality of the mother, partnership status and birth order, as well as urbanisation level. The latter is considered an indirect indicator of potential environmental incidence. Our main finding is that the sex ratio in Greece has experienced a slight, albeit statistically significant, downward trend, especially since 1980. Further, this decline is not attributable to changing demographics. Geographical differentiations were found to be quite significant: the sex ratio is significantly higher in rural areas compared to urban centres or Greater Athens, and this difference is increasing over time. We offer a preliminary interpretation suggesting that these temporal and spatial trends may, at least partly, be attributed to chemicals’ exposure due to higher levels of indoor and outdoor air pollution and different consumption habits encountered in urban settings. We argue that such possibilities warrant further research with explicit measures of exposure.

Immigrants and natives in U.S. science and engineering occupations, 1994–2006

Between 1994 and 2006, the ratio of foreign-born scientists and engineers (FSE) to native scientists and engineers (NSE) doubled. I decompose this change into a migration effect (which accounts for migration in general), a proportional college effect (which accounts for the relative proportions of college graduates among migrant and native workers), and a proportional science and engineering (S&E) effect (which accounts for the relative proportions of S&Es among migrant and native college-educated workers). Results show that the migration effect explains about three-quarters of the increase in FSE/NSE during the entire period under study. The proportional S&E effect, which captures changes in the ratio as a result of immigration of S&Es in excess of what would be expected from general migration alone, was largest in 1995–1998, which were years of sustained economic growth. Conversely, a slower economy coincided with a declining proportional S&E effect after 2000. Increases in the annual cap on H-1B visas, an important avenue of entry for foreign-born S&Es, had little effect on the ratio. In short, during 1994–2006, the association between economic swings and the specific, more than proportional migration of S&Es was much stronger than the association between the latter and changes in the H-1B cap.     

Trends in Alcohol-Related Mortality by Educational Attainment in the U.S., 2000–2017

Population Research and Policy Review - Alcohol-related mortality rates in the U.S. have risen since 2000, though how trends vary across socio-economic status is unclear. This analysis combines...     

Left Out? Lesbian,Gay, and Bisexual Poverty in the U.S.

This paper analyzes the risk of poverty for self-identified lesbian, gay, and bisexual (LGB) people from mid-2013 through 2016 in the National Health Interview Survey, a nationally representative survey of households that includes a sexual orientation question based on identity (n = 112,143). The study tests the role of family structure—living with a spouse or partner and having children—on the risk of poverty for LGB and heterosexual respondents. After controlling for education, demographic, and health measures in a probit model, lesbians and gay men are as likely to be poor as similar heterosexuals, but bisexual women and men are significantly more likely to be poor, regardless of relationship status. Single and childless gay men are also more likely to be poor than single heterosexual men. Being in a relationship reduces the likelihood of poverty for people of all sexual orientations, but the data show evidence of a gender composition effect: married male same-sex couples are less likely and unmarried female same-sex couples more likely to be poor than their married counterparts. Marriage reduces gay men’s poverty risk more and children increase their poverty risk less than for heterosexual men.     

Union organizing effort and success in the U.S., 1948–2004

While union density in the public sector has increased in recent decades, private sector union density in the U.S. has declined steadily since the mid-1950s. Scholars have evoked a variety of explanations to account for the decline in union membership, but substantially less attention has been devoted to understanding the contribution of the union organizing process as governed by the National Labor Relations Board (NLRB). In this paper, we focus on two aspects of this process: union organizing effort (the effort to establish union representation elections to organize non-unionized workers) and union organizing success (success in winning union representation elections). Using annual time series data for the U.S. from 1948 to 2004, we show that there has been a long-term decline in both union organizing effort and union organizing success, which likely contributes to declining union density. We focus on three explanations for these changes: the political–legal environment for unions, deindustrialization and globalization, and employer opposition to unionization efforts. We find that each of these factors contributes to organizing effort and success and conclude with a discussion of the implications of this research for future mobilization efforts.     

Increment–Decrement Life Table Estimates of Happy Life Expectancy for the U.S. Population

Using large nationally representative longitudinal data on changes in happiness and mortality and multivariate increment–decrement life tables, we assess length of quality life through cohort estimates of happy life expectancies. We examine population-based and status-based life expectancies in absolute term of years and relative term of proportions. We find that happy life expectancies exceed unhappy life expectancies in both absolute and relative terms for the overall population and population in each state of happiness at any given age. Being happy (as opposed to unhappy) at any age brings a longer life and more of the future life spent in happiness. We also examine social differentials in the estimates of happy life expectancy at each age by sex, race, and education. The educational gap in happy life expectancies is larger than the sex and race gaps. For the better educated, longer life consists of a longer happy life and shorter unhappy life in both years and proportions and regardless of happy or unhappy status at any given age.     

Trends in U.S. adult chronic disease mortality, 1960–1999: age,period, and cohort variations

In this paper, I examine temporal changes in U.S. adult mortality by chronic disease cause of death and by sex over a 40-year period in the second half of the twentieth century. I apply age-period-cohort (APC) analyses that combine conventional approaches and a new method of model estimation to simultaneously account for age, period, and cohort variations in mortality rates for four leading causes of deaths, including heart disease, stroke, lung cancer, and breast cancer. The results show that large reductions in mortality since the late 1960s continued well into the late 1990s and that these reductions were predominately contributed by cohort effects. Cohort effects are found to differ by specific causes of death examined, but they generally show substantial survival improvements. Implications of these results are discussed with regard to demographic theories of mortality reductions, differential cohort accumulation of health capital and lifetime exposures to socioeconomic and behavioral risk factors, and period changes in diagnostic techniques and medical treatment.     

Incarcerating death: Mortality in U.S. state correctional facilities, 1985–1998

Using data from the U.S. Bureau of Justice Statistics and Census Bureau, I estimate death rates of working-age prisoners and nonprisoners by sex and race. Incarceration was more detrimental to females in comparison to their male counterparts in the period covered by this study. White male prisoners had higher death rates than white males who were not in prison. Black male prisoners, however, consistently exhibited lower death rates than black male nonprisoners did. Additionally, the findings indicate that while the relative difference in mortality levels of white and black males was quite high outside of prison, it essentially disappeared in prison. Notably, removing deaths caused by firearms and motor vehicles in the nonprison population accounted for some of the mortality differential between black prisoners and nonprisoners. The death rates of the other groups analyzed suggest that prison is an unhealthy environment; yet, prison appears to be a healthier place than the typical environment of the nonincarcerated black male population. These findings suggest that firearms and motor vehicle accidents do not sufficiently explain the higher death rates of black males, and they indicate that a lack of basic healthcare may be implicated in the death rates of black males not incarcerated.     

Housewife, “gold miss,” and equal: the evolution of educated women’s role in Asia and the U.S.

The fraction of U.S. college graduate women who ever marry has increased relative to less educated women since the mid-1970s. In contrast, college graduate women in developed Asian countries have had decreased rates of marriage, so much so that the term “Gold Misses” has been coined to describe them. This paper argues that the interaction of rapid economic growth in Asia combined with the intergenerational transmission of gender attitudes causes the “Gold Miss” phenomenon. I present a simple dynamic model then test its implications using U.S. and Asian data on marriage and time use.     

Immigration Status and Farmwork: Understanding the Wage and Income Gap Across U.S. Policy and Economic Eras, 1989–2016

Population Research and Policy Review - An estimated 7.8 million people live and work in the United States without authorized status. We examined the extent to which legal status makes them...     

Population Change and Changing Educational Attainment of Ethnic Groups in the United States, 1980–2000

This study assesses the effect of population change on decade changes in the educational attainments of country of origin populations in the United States. Our data are derived from decennial censuses, NLMS, the World Bank, and INS. We find that changes in the share of country of origin populations with one or more years of post-secondary schooling are associated with selected components of population change during the 1980–1990 and 1990–2000 decades. The specific components include survivors during the decade, in-migration, and emigration of the foreign-born. Likewise, intra-generational mobility is found to be an important determinant of changes in educational attainment. The discussion addresses limitations of the data and suggests directions for future research as well as policy implications.     

The political ecology of disaster: An analysis of factors influencing U.S. tornado fatalities and injuries, 1998–2000

This study examines casualties from tornadoes in the United States between the years 1998 and 2000. A political model of human ecology (POET) was used to explore how the environment, technology, and social inequality influence rates of fatalities and injuries in two models. Data were drawn from four sources: John Hart's Severe Plot v2.0, National Weather Service (NWS) Warning Verification data, Storm Prediction Center (SPC) watch data, and tract-level census data. Negative binomial regression was used to analyze the causes of tornado fatalities and injuries. Independent variables (following POET) are classified in the following manner: population, organization, environment, and technology. Rural population, population density, and household size correspond to population; racial minorities and deprivation represent social organization; tornado area represents environment; and tornado watches and warnings, as well as mobile homes, correspond to technology. Findings suggest a strong relationship between the size of a tornado path and both fatalities and injuries, whereas other measures related to technology, population, and organization produce significant yet mixed results. Census tracts having larger populations of rural residents was, of the nonenvironmental factors, the most conclusive regarding its effects across the two models. The outcomes of analysis, although not entirely supportive of the model presented in this study, suggest to some degree that demographic and social factors play a role in vulnerability to tornadoes.     

Race/Ethnicity/Nativity Differentials and Changes in Cause-Specific Infant Deaths in the Context of Declining Infant Mortality in the U.S.: 1989–2001

Using data from the national linked birth/infant death cohort files, we examined race/ethnicity/nativity disparities and changes in infant mortality due to the five leading causes of infant death between 1989 and 2001. Our results indicate substantial decreases in infant mortality from three causes (congenital anomalies, sudden infant death syndrome, and respiratory distress syndrome) for which specific perinatal health innovations emerged or were expanded. However, for these three causes, the relative disparities in infant mortality between infants born to U.S.-born black women as compared to infants of U.S.-born white women increased following the introduction (or expansion) of beneficial interventions. Among infants of U.S.-born Mexican American mothers, the findings differed. In the static comparisons, our results show the often-reported similarity in the risk of death of these babies compared to those born to non-Hispanic white mothers. However, when changes over time were modeled, there was an erosion of the relatively favorable survival chances of Mexican American infants. Our models show little change in the relative risk of death for infants of immigrant women. Regarding the other two causes (disorders relating to short gestation and unspecified low birth weight and maternal complications) for which no efficacious innovations occurred, either little change or actual increases in risks were observed. Future studies and health policy efforts should be geared toward further understanding and aggressively working to close infant mortality gaps, especially for infants of U.S.-born black mothers—an effort that will be facilitated by research focused on cause-specific infant mortality.