Betting the farm on high food prices: A consumer based approach to agriculture protection

Our question is quite simple: If agriculture protectionism is a product of economic development, why is agriculture protected at such varying degrees by otherwise similarly developed countries? Previous attempts to fit agriculture into general models of trade policy formation have relied exclusively on producer demand for protection and merely assume the associated demand for lower prices that might come from consumers. Not surprisingly, these previous studies add only minimally to this strange phenomenon. Our method turns this approach on its head by modeling the political strategy of agriculture protection on the costs incurred by the consumer. Taking both producers and consumers into account more accurately reflects the intent of extant theoretical models of protectionism. Our results show that using the consumer as the dependent variable provides more robust results on common independent variables. Recent global events show that consumer disapproval of agriculture policies should not be underestimated by political scientists or politicians.     

Foster care placement breakdown in the Netherlands and Flanders: Prevalence,precursors, and associated factors

Family foster care is the option of choice for children in need of out‐of‐home care in Flanders and the Netherlands. Foster care is however a vulnerable intervention, and questions can be raised as to its efficacy. Although the literature on placement breakdown has made significant progress during the last years, empirical knowledge regarding breakdown in Flanders and the Netherlands remains scant. Consequently, this study aimed at investigating prevalence and precursors of breakdowns in long‐term foster care, the duration of placement before breakdown, and the association of child and placement characteristics with breakdown. Case files of 271 Dutch and 309 Flemish foster children were analysed with a coding scheme designed for this study. After 6 years, 398 placements had terminated: 169 placements broke down and 229 placements ended positively. Placements broke down mainly because of behavioural problems of the foster child, foster parents' parenting problems, and conflicts between birth and foster parents. Foster children with behavioural problems, older foster children, foster children denied treatment, and foster children in care because of sexual abuse were more at risk of breakdown. Assessing these factors is important when evaluating the appropriateness of a family foster care placement.     

Model-based clustering,classification, and discriminant analysis of data with mixed type

We propose a mixture of latent variables model for the model-based clustering, classification, and discriminant analysis of data comprising variables with mixed type. This approach is a generalization of latent variable analysis, and model fitting is carried out within the expectation-maximization framework. Our approach is outlined and a simulation study conducted to illustrate the effect of sample size and noise on the standard errors and the recovery probabilities for the number of groups. Our modelling methodology is then applied to two real data sets and their clustering and classification performance is discussed. We conclude with discussion and suggestions for future work.     

Developing a best practice model of refugee maternity care

BackgroundAbout one third of refugee and humanitarian entrants to Australia are women age 12–44 years. Pregnant women from refugee backgrounds may have been exposed to a range of medical and psychosocial issues that can impact maternal, fetal and neonatal health.Research questionWhat are the key elements that characterise a best practice model of maternity care for women from refugee backgrounds? This paper outlines the findings of a project which aimed at developing such a model at a major maternity hospital in Brisbane, Australia.Participants and methodsThis multifaceted project included a literature review, consultations with key stakeholders, a chart audit of hospital use by African-born women in 2006 that included their obstetric outcomes, a survey of 23 African-born women who gave birth at the hospital in 2007–08, and a survey of 168 hospital staff members.ResultsThe maternity chart audit identified complex medical and social histories among the women, including anaemia, female circumcision, hepatitis B, thrombocytopenia, and barriers to access antenatal care. The rates of caesarean sections and obstetric complications increased over time. Women and hospital staff surveys indicated the need for adequate interpreting services, education programs for women regarding antenatal and postnatal care, and professional development for health care staff to enhance cultural responsiveness.Discussion and conclusionsThe findings point towards the need for a model of refugee maternity care that comprises continuity of carer, quality interpreter services, educational strategies for both women and healthcare professionals, and the provision of psychosocial support to women from refugee backgrounds.     

Glass Cliffs Are Not So Easily Scaled: On the Precariousness of Female CEOs' Positions

Adams, Gupta and Leeth ( British Journal of Management , 2008) question the universality of the glass cliff after finding no differences in US companies' financial performance either before or after the appointment of male and female CEOs. We agree that glass cliffs are neither universal nor ineluctable, but urge caution in interpreting this null result. This is because the nature and significance of women's precarious leadership positions becomes more apparent when one goes beyond archival financial data and compares the broad circumstances of male and female leaders. Here multiple strands of research suggest that above the glass ceiling the playing field for men and women is far from level.     

Extrapolative simulation of neighborhood networks based on population spatial distribution: Do they predict crime?

Objectives

Previous criminological scholarship has posited that network ties among neighborhood residents may impact crime rates, but has done little to consider the specific ways in which network structure may enhance or inhibit criminal activity. A lack of data on social ties has arguably led to this state of affairs. We propose to avoid this limitation by demonstrating a novel approach of extrapolatively simulating network ties and constructing structural network measures to assess their effect on neighborhood crime rates.

Methods

We first spatially locate the households of a city into their constituent blocks. Then, we employ spatial interaction functions based on prior empirical work and simulate a network of social ties among these residents. From this simulated network, we compute network statistics that more appropriately capture the notions of cohesion and information diffusion that underlie theories of networks and crime.

Results

We show that these network statistics are robust predictors of the levels of crime in five separate cities (above standard controls) at the very micro geographic level of blocks and block groups.

Conclusions

We conclude by considering extensions of the approach that account for homophily in the formation of network ties.     

Screening for Alcohol Problems Among 4-Year Colleges and Universities

Abstract

Objective: To assess the use of alcohol screening tools across US colleges. Participants: Directors of health services at 333 four-year colleges. Methods: An online survey was conducted regarding the use of alcohol screening tools. Schools reporting use of formal tools were further described in terms of 4 tools (AUDIT, CUGE, CAPS, and RAPS) that the authors judged to be the most favorable based on prior empirical comparative studies. Results: Forty-four percent of colleges reported use of at least 1 formal alcohol screening tool and nearly all of these used a tool appropriate for college students. However, less than half of the 44% of colleges that used a screening tool used 1 of the 4 most favorable tools. Conclusions: Continued efforts are needed to encourage colleges to use the most effective available screening tools to identify alcohol-related problems that require intervention among students.