ECONOMIC GLOBALIZATION AND WOMEN'S STATUS IN THE LABOR MARKET:

This study examines the effects of economic globalization on occupational sex segregation and occupational inequality. A theory of global economic restructuring and its impact on the quality of women's work suggests that national integration into the world economy significantly expands opportunities for women in the workplace but does not remove barriers to women's advancement or ameliorate the predominance of low-paying, menial jobs held by women. Two measures of gender occupational differentiation are employed as dependent variables in cross-sectional OLS regression analyses of fifty-six countries using data from 1970–1990. Results indicate that global economic forces reduce occupational sex segregation and inequality. However, these effects are determined by a country's world system position and region. The analyses illustrate that global economic restructuring is a gendered process that transforms and builds upon existing gender inequalities. Therefore, the inclusion of global structural characteristics into comparative research on occupational sex differentiation is essential.     

Survival of Staphylococcus aureus ATCC 13565 in Intermediate Moisture Foods is Highly Variable

Staphylococcus aureus is a gram-positive, enterotoxin-producing coccus. It is a hardy organism and known to survive over a wide range of water activities, pH values, and temperatures. The objective of this study was to model the survival or gradual inactivation of S. aureus ATCC 13565 in intermediate moisture foods (IMFs). Various initial concentrations (approximately 10(1), 10(2), 10(3), and 10(4) CFU/g) were used to inoculate three different IMFs (beefsteak, bread, and chicken pockets). Viable counts were determined up to 60 days using tryptic soy agar. Inoculum size did not influence the survival or gradual inactivation of S. aureus in these foods. The rate of change (increase or decrease) in log CFU/day was calculated for every consecutive pair of data points and by linear regression for each inactivation curve. Both consecutive pair and linear regression rates of change were fit to logistic distributions (with parameters alpha and beta) for each food. Based on the distribution parameters, survival or gradual inactivation of S. aureus was predicted by computer simulation. The simulations indicated an overall decline in S. aureus population over time, although a small fraction of samples in the consecutive pair simulation showed a slight population increase even after 60 days, consistent with the observed data. Simulation results were compared to predictions from other computer models. The models of Stewart et al., were fail-safe, predicting the possibility of significant growth only after > 3,000 days. The USDA pathogen modeling program predictions were found to be fail-dangerous, predicting declines at least four times faster than observed.     

I'm OK, You're (Not) OK: The Private Welfare State in the United States

The American welfare state has been premised on the mixture of substantial private, tax‐subsidized benefits rather than on more universalistic public benefits. That pattern is in some ways being undermined as private pension plans are increasingly going bankrupt and firms reduce the benefits they provide employees. On the other hand, however, the current Bush administration is attempting to enhance the private sector role by allowing individuals to invest at least a part of their social insurance contributions into private savings plans. These changes may in the end increase the role of the public sector as a regulator and underwriter at the same time that attempts are made to minimize public sector involvement.     

Bayesian palaeoclimate reconstruction

Summary.  We consider the problem of reconstructing prehistoric climates by using fossil data that have been extracted from lake sediment cores. Such reconstructions promise to provide one of the few ways to validate modern models of climate change. A hierarchical Bayesian modelling approach is presented and its use, inversely, is demonstrated in a relatively small but statistically challenging exercise: the reconstruction of prehistoric climate at Glendalough in Ireland from fossil pollen. This computationally intensive method extends current approaches by explicitly modelling uncertainty and reconstructing entire climate histories. The statistical issues that are raised relate to the use of compositional data (pollen) with covariates (climate) which are available at many modern sites but are missing for the fossil data. The compositional data arise as mixtures and the missing covariates have a temporal structure. Novel aspects of the analysis include a spatial process model for compositional data, local modelling of lattice data, the use, as a prior, of a random walk with long-tailed increments, a two-stage implementation of the Markov chain Monte Carlo approach and a fast approximate procedure for cross-validation in inverse problems. We present some details, contrasting its reconstructions with those which have been generated by a method in use in the palaeoclimatology literature. We suggest that the method provides a basis for resolving important challenging issues in palaeoclimate research. We draw attention to several challenging statistical issues that need to be overcome.     

Bandwidth-based nonparametric inference

Nonparametric curve estimation is an extremely common statistical procedure. While its primary purpose has been exploratory, some advances in inference have been made. This paper provides a critical review of inferential tests that make fundamental use of a key element of nonparametric smoothing, the bandwidth, to determine the significance of certain features. A major focus is on two important problems that have been tackled using bandwidth-based inference: testing for the multimodality of a density and testing for the monotonicity of a regression curve. Early research in bandwidth-based inference is surveyed, as well as recent theoretical advances. Possible future directions in bandwidth-based inference are discussed.     

The Effects of a Creative Dance and Movement Program on the Social Competence of Head Start Preschoolers

The effects of an eight‐week instructional program in creative dance/movement on the social competence of low‐income preschool children were assessed in this study utilizing a scientifically rigorous design. Forty preschool children from a large Head Start program were randomly assigned to participate in either an experimental dance program or an attention control group. Teachers and parents, blind to the children's group membership, rated children's social competence both before and after the program, using English and Spanish versions of the Social Competence Behavior Evaluation: Preschool Edition. The results revealed significantly greater positive gains over time in the children's social competence and both internalizing and externalizing behavior problems for the experimental group compared with the control group. Small‐group creative dance instruction for at‐risk preschoolers appears to be an excellent mechanism for enhancing social competence and improving behavior. The implications for early childhood education and intervention are discussed.