Kinship networks that cross racial lines: The exception or the rule?

I estimate the frequencies of interracial kin relations, an important indicator of the isolation of racial groups in the United States. I use two techniques to estimate the size and heterogeneity of extended families. First, I develop a simple model that takes account only of kinship network sizes and intermarriage levels by race. This model allows a crude estimation of the frequency of multiracial kinship networks. Second, I produce more precise empirical estimates using a new hot-deck imputation method for synthesizing kinship networks from household-level survey data (the June 1990 Current Population Survey and the 1994 General Social Survey). One in seven whites, one in three blacks, four in five Asians, and more than 19 in 20 American Indians are closely related to someone of a different racial group. Despite an intermarriage rate of about 1%, about 20% of Americans count someone from a different racial group among their kin.     

Modelling the effect of pupil mobility on school differences in educational achievement

Summary.  The recently introduced national pupil database in England allows the tracking of every child through the compulsory phases of the state education system. The data from key stage 2 for three local education authorities are studied, following cohorts of pupils through their schooling. The mobility of pupils among schools is studied in detail by using multiple-membership multilevel models that include prior achievement and other predictors and the results are compared with traditional 'value-added' approaches that ignore pupil mobility. The analysis also includes a cross-classification of junior and infant schools attended. The results suggest that some existing conclusions about schooling effects may need to be revised.     

A Survey of Microcomputer Survival Analysis Software: The Need for an Integrated Framework

This paper surveys commercially available MS-DOS and Microsoft Windows based microcomputer software for survival analysis, especially for Cox proportional hazards regression and parametric survival models. Emphasis is given to functionality, documentation, generality, and flexibility of software. A discussion of the need for software integration is given, which leads to the conclusion that survival analysis software not closely tied to a well-designed package will not meet an analyst's general needs. Some standalone programs are good tools for teaching the theory of some survival analysis procedures, but they may not teach the student good data analysis techniques such as critically examining regression assumptions. We contrast typical software with a general, integrated, modeling framework that is available with S-PLUS.     

Using Time Intervals Between Expected Events to Communicate Risk Magnitudes

Because members of the public have difficulty understanding risk presented in terms of odds ratios (e.g., 1 in 1000) and in comparing odds ratios from different hazards, we examined the use of time intervals between expected harmful events to communicate risk. Perceptions of the risk from a hypothetical instance of naturally-occurring, cancer-causing arsenic in drinking water supplies was examined with a sample of 705 homeowners. The risk was described as either 1 in 1000 or 1 in 100,000 and as present in a town of 2000 people or a city of 200,000 people. With these parameters, the time intervals ranged from 1 expected death in 3500 years (1 in 100,000 risk, small town) to 1 death every 4 months (1 in 1000 risk, city). The addition of time intervals to the odds ratios significantly decreased perceived threat and perceived need for action in the small town but did not affect response for the city. These framing effects were nearly as large as a 100-fold difference in actual risk. Instances when this communication approach may be useful are discussed.     

Changing compatibility of cohabitation and childbearing between young British women born in 1958 and 1970

We investigate the effect of parenthood on whether non-marital unions led to marriage or parting for two cohorts of British women when they were aged between 16 and 29. We compare the effect of conceptions leading to births and the presence and characteristics of children on the odds that a cohabitation was dissolved, or that it was converted to marriage, for women born in 1958 and 1970. A multilevel, multiprocess, competing-risks model allows for multiple cohabitation per woman and endogeneity of fertility status. We find that cohabiting couples' response to impending parenthood and the presence of children changed over time. In particular, the proportion of cohabiting couples who married before a birth decreased and, in the 1970 cohort only, the risk of dissolution declined during pregnancy. There is also evidence that the presence of a child cemented a cohabiting union for women from the 1970, but not the earlier, cohort.     

‘Working fathers' in Japan: Leading a change in gender relations?

Does the emergent phenomenon of ‘working fathers' herald a process of change in gender relations in Japan? Against the background of the current discourse in Japan about new modes of fathers' participation in the family, the article focuses on the small group of working fathers — men who explicitly organize their working lives around family responsibilities — to examine the potentiality of change. This supposed change in the roles of men (and women), at home and in the workplace, is considered in terms of latency, as a ‘slow‐dripping' process. The qualitative research focuses on Fathering Japan, Japan's leading fathering movement, its ideology, its members and their families. The article offers a critical perspective, juxtaposing gender ideology with practice. Exploring the real‐life experiences of working fathers caught between family and work, especially against Japan's gendered corporate culture, the article also addresses the persistence of gender inequality in Japan.     

Dynamics of Internal Migration Determinants for American Jews, 1985–1990 and 1995–2000

This paper examines how individual characteristics and structural factors have changed in determining Jewish internal migration in the U.S. between 1985–1990 and 1995–2000. Multinomial logistic regression analysis of the 1990 and 2000 National Jewish Population Surveys shows that socio-demographic characteristics have both increased their power to explain variation in 5-year migration and have become more similar for intra- and interstate migration. Further analysis added migration status at the beginning-of-period, state context of residence characteristics, and ethnic concentration to the explanatory variables. Results from logistic regression analysis, which was limited to interstate mobility, were very much in accordance with the observations of the single-level analysis of the socio-demographic variables. Additional findings suggest that previous mobility increases subsequent interstate migration; that per capita income does not have a meaningful effect on migration; that unemployment encourages migration (yet later this relationship turned negative); and that warm climate deters migration. The importance of ethnic concentration has weakened over time albeit maintained statistically significant. Finally, when the two surveys were integrated into one data set, “time” enhances the tendency of Jews to migrate. The results are discussed in the context of ethnic diversity in contemporary America.