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.     

Mother’s,Household, and Community U.S. Migration Experience and Infant Mortality in Rural and Urban Mexico

This study explores rural and urban differences in the relationship between U.S. migration experience measured at the individual, household, and community levels and individual-level infant mortality outcomes in a national sample of recent births in Mexico. Using 2000 Mexican Census data and multi-level regression models, we find that women’s own U.S. migration experience is associated with lower odds of infant mortality in both rural and urban Mexico, possibly reflecting a process of healthy migrant selectivity. Household migration has mixed blessings for infant health in rural places: remittances are beneficial for infant survival, but recent out-migration is disruptive. Recent community-level migration experience is not significantly associated with infant mortality overall, although in rural places, there is some evidence that higher levels of community migration are associated with lower infant mortality. Household- and community-level migration have no relationship with infant mortality in urban places. Thus, international migration is associated with infant outcomes in Mexico in fairly complex ways, and the relationships are expressed most profoundly in rural areas of Mexico.

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.     

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.     

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.     

The population statistics of China,A.D. 2–1953

Chinese population statistics are collated from the time of the Western Han Dynasty (A.D. 2) to 19 5 3, including statistics of population and households for provinces as well as for China as a whole. Evidence bearing on the definitions of the statistics, methods of compilation, and reliability of the figures as measures of population size and change, is summarized. An "emended series " of population totals for China proper, A.D. 2 to 1953 is presented, excluding figures which are clearly defective.     

Anti-homosexual prejudice . . . as opposed to what? Queer theory and the social psychology of anti-homosexual attitudes

This article uses Sedgwick's distinction between minoritizing and universalizing theories of sexuality to analyze variability in social psychologists' studies of anti-homosexual prejudice, focusing on studies of attitudes. Anti-homosexual prejudice was initially defined in conversation with gay liberationists and presumed, among other things, that fear of homoerotic potential was present in all persons. Later social psychologists theorized anti-homosexual prejudice in strict minoritizing terms: as prejudice towards a distinct out-group. In the first section of this paper we discuss corresponding shifts in the conceptualization of anti-homosexual attitudes. Next, using a universalizing framework, we re-interpret experiments on behavioral aspects of anti-homosexual attitudes which were originally conceptualized using a minoritizing framework, and suggest avenues for future research. Finally, we examine how queer theory might enrich this area of social psychological inquiry by challenging assumptions about the politics of doing scientific work and the utility of identity-based sexual politics.     

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.     

Reassessing and Revising Commuting Zones for 2010: History,Assessment, and Updates for U.S. ‘Labor-Sheds’ 1990–2010

This paper employs commuter flow data from the 1990 and 2000 Decennial Censuses, and the 2006–2010 American Community Survey to replicate, evaluate, and extend the delineation of commuting zones first proposed by Tolbert and Killian (Labor Market Areas for the United States, 1987). Commuting zones offer a valuable tool for research on regional economies and have long served rural sociologists, economists, and geographers interested in a representation of the economy that acknowledges a connection between urban and rural areas and the capacity of economic systems to cross state lines. Our delineations provide both an update in the form of new delineations for 2010 and a revised set of 1990 and 2000 delineations that benefit from a consistent methodology across decades. We also provide a set of tools for comparing delineations across methods and over time. In presenting our revised delineations, we shed light on the role of expert opinion in the original delineations, the strengths and weaknesses of the original method, and offer suggestions for further revision of this tool that may better reflect the theoretical conception of commuting zones.     

Are Psychological and Ecological Well-being Compatible? The Role of Values,Mindfulness, and Lifestyle

Happiness and ecological well-being are often portrayed as conflictual pursuits, but they may actually be complementary. In samples of adolescents (Study 1) and adults (Study 2), we tested this proposition and examined the role of three factors in promoting both subjective well-being (SWB) and ecologically responsible behavior (ERB). In both studies, individuals higher in SWB reported more ERB. An intrinsic value orientation (Studies 1 and 2) and dispositional mindfulness (Study 2) related to higher SWB and ERB, while a lifestyle of voluntary simplicity (Study 2) related to higher ERB. Further analyses showed that the compatibility of SWB and ERB was explained by intrinsic values and mindfulness. These findings offer clues to a sustainable way of life that enhances both personal and collective well-being.     

Division of the Eastern,Central and Western China

During the Seventh Five-Year Plan period (1986-1990), the Chinese government divided its 30provinces (municipalities and autonomous regions) onthe mainland into three parts according to theirgeographical location and level of economicdevelopment. This is shown as follows:Eastern: Beijing, Tianjin, Liaoning, Hebei, Shandong,Jiangsu, Shanghai, Zhejiang, Fujian, Guangdong,Guangxi, Hainan.Central: Jilin, Heilongjiang, Inner Mongolia, Shanxi,Henan, Anhui,Hubei, Jiangxi, Hunan.Western: S…     

Social indicators of marital instability,U.S.A., 1920–1969

A social indicators model which included demographic variables (birth rate and aged child ratio), economic variable (unemployment) and marriage rates (control variable) was utilized in explaining changes in divorce rates over time. Analysis of time series data for two distinctive periods in the U.S.A. (1920–1940 and 1946–1969) revealed the following significant results:

1. Demographic changes in the age structure of the population while controlling for marriage rates explains significantly larger amounts of the variance in marital instability than economic changes alone (unemployment).
2. In the post-World War II era unemployment was not found to be a statistically significant predictor of marital instability when control for demographic changes were established.
3. In the post-World War II era marriage rates appear to be a significant predictor of divorce rates when control for demographic changes were maintained.
4. In the post-World War II era marriage rates were found to be more sensitive to changes in economic conditions than marital instability (divorce rate).

     

Population,Environment Dynamics,Poverty and Quality of Life in China

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Comment on ‘minority status and family size: A comparison of explanations’ by R. Jiobu and H. Marshall

Demographers traditionally have paid little attention to tests of significance. This neglect presumably carried little risk so long as analyses used full-count census data or vital statistics data (typically with very large numbers) and as long as inter-group differences in demographic variables were larger than they are in many contexts to-day.² For a variety of reasons, this attitude may no longer be justified.     

Comment on ‘The random variation in rates based on total enumeration of events’ by J. R. Udry,C. Teddlie,C. M. Suchindran

This comment builds on the work of Udry et al., developing a model of random variation of vital rates in small geographical areas. The model is based on the division of the variance of vital rates into three parts; that which would occur in a homogenous population; that due to population heterogeneity; and that due to yearly fluctuations in the underlying basis for the mean value of the probability of the vital event in question. Contrary to Udry et al., this model demonstrates that population heterogeneity must decrease the overall vital rate variance. Using birth rates presented in Udry et al., a test of the new model demonstrates the importance of the third factor, yearly fluctuations, in determining year-to-year variation in birth rates.