Gender equity and women's contraception use

Gender equity describes the distribution between men and women of social and material resources and decision‐making powers. Women's experiences of gender equity are likely to influence their contraceptive use. Multilevel analysis of two databases: the National Survey of Sexual Attitudes and Lifestyles from the United Kingdom and the United Nations' Fertility and Family Surveys, was undertaken to explore the association between gender equity measured at two spatial scales (small areas and countries) and women's contraception use. Results suggest that the spatial scale at which gender equity is considered is important. Gender equity was associated with contraception use at a local level, but not at the country level. Further, gender equity (at a local level) benefited women with less education in terms of increasing their likelihood of contraception use compared with more highly educated women. Results suggest gender equity is a potential pathway to reducing socio‐economic inequalities in health in developed settings.     

Public meetings as sources of citizen input: Comparing attendees with citizens at large

Although public meetings are the most frequently used method for obtaining citizen input into public decision-making, there is little systematic evidence comparing attendees with citizens at large. This paper addresses this gap in the literature by analyzing results from a series of public meetings and a random-sample telephone survey. The public meetings and telephone survey were conducted in Hillsborough County, Florida to obtain citizen input for the purpose of establishing spending priorities for more than $39 million in federal block grant funds. Findings include representation at public meetings on a number of factors, including race, Hispanic ethnicity, and low-income status. Attendees favor redistributive activities more often than citizens at large; however, both attendees and the general public agree on the importance of funding activities serving certain vulnerable populations, including seniors, persons with disabilities, and victims of domestic violence.     

Nowcasting GDP in Real Time: A Density Combination Approach

In this article, we use U.S. real-time data to produce combined density nowcasts of quarterly Gross Domestic Product (GDP) growth, using a system of three commonly used model classes. We update the density nowcast for every new data release throughout the quarter, and highlight the importance of new information for nowcasting. Our results show that the logarithmic score of the predictive densities for U.S. GDP growth increase almost monotonically, as new information arrives during the quarter. While the ranking of the model classes changes during the quarter, the combined density nowcasts always perform well relative to the model classes in terms of both logarithmic scores and calibration tests. The density combination approach is superior to a simple model selection strategy and also performs better in terms of point forecast evaluation than standard point forecast combinations.     

Non‐Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise‐Deterministic Markov Processes

This paper presents a non‐parametric method for estimating the conditional density associated to the jump rate of a piecewise‐deterministic Markov process. In our framework, the estimation needs only one observation of the process within a long time interval. Our method relies on a generalization of Aalen's multiplicative intensity model. We prove the uniform consistency of our estimator, under some reasonable assumptions related to the primitive characteristics of the process. A simulation study illustrates the behaviour of our estimator.     

Criticism From Within An Interview With Kerrie James

Kerrie James is the Clinical Director at Relationships Australia (NSW). Having trained in family therapy in Canada in 1979, Kerrie came back to Australia and was employed by Relationships Australia (NSW), then the Marriage Guidance Council, to develop one of the first professional training programs in family therapy. Since then Kerrie has taught and supervised in family therapy both in Australia and overseas. Through her publications and presentations, Kerrie has made a significant contribution to the feminist debate within family therapy. Kerrie is currently completing a Masters in Womens Studies in which she is researching connections between the social constructions of gender and violence.     

"Race" as an Interaction Order Phenomenon: W.E.B. Du Bois's "Double Consciousness" Thesis Revisited

This article reports on a study of interaction between Americans who self-identify as Black and White that reveals underlying expectations with regard to conversation that differ between the two groups. These differences seem not to have much to do with class or gender, but rather vary largely according to self-identification by "race." The argument of this paper will be that the social phenomena of "race" are constructed at the level of interaction whenever Americans self-identified as Black and White speak to one another. This is because the Interaction Order expectations with regard to both self and community vary between the two groups. Because the "language games" and conversational "preferences" practiced by the two groups are responsive to different Interaction Orders, the "working consensus" is substantially different, and as a consequence, conversational "moves" are not recognizably the same. It will be argued that a great deal of institutional discrimination against African Americans can be traced to this source.     

Coordinating Service‐Sensitive Demand and Capacity by Adaptive Decision Making: An Application of Case‐Based Decision Theory*

The subject of this article is the simultaneous choice of product price and manufacturing capacity if demand is stochastic and service‐level sensitive. In this setting, capacity as well as price have an impact on demand because several aspects of service level depend on capacity. For example, delivery time will be reduced if capacity is increased given a constant demand rate. We illustrate the relationship between service level, capacity, and demand reaction by a stylized application problem from the after‐sales services industry. The reaction of customers to variations in service level and price is represented by a kinked price‐demand‐rate function. We first derive the optimal price‐capacity combination for the resulting decision problem under full information. Subsequently, we focus on a decision maker (DM) who lacks complete knowledge of the demand function. Hence the DM is unable to anticipate the service level and consequently cannot identify the optimal solution. However, the DM will acquire additional information during the sales process and use it in subsequent revisions of the price‐capacity decision. Thus, this decision making is adaptive and based on experience. In contrast to the literature, which assumes certain repetitive procedures somewhat ad hoc, we develop an adaptive decision process based on case‐based decision theory (CBDT) for the price‐capacity problem. Finally, we show that a CBDT DM in our setting eventually finds the optimal solution, if the DM sets the price based on absorption costs and adequately adjusts the capacity with respect to the observed demand.     

Exploratory data structure comparisons: three new visual tools based on principal component analysis

Datasets are sometimes divided into distinct subsets, e.g. due to multi-center sampling, or to variations in instruments, questionnaire item ordering or mode of administration, and the data analyst then needs to assess whether a joint analysis is meaningful. The Principal Component Analysis-based Data Structure Comparisons (PCADSC) tools are three new non-parametric, visual diagnostic tools for investigating differences in structure for two subsets of a dataset through covariance matrix comparisons by use of principal component analysis. The PCADCS tools are demonstrated in a data example using European Social Survey data on psychological well-being in three countries, Denmark, Sweden, and Bulgaria. The data structures are found to be different in Denmark and Bulgaria, and thus a comparison of for example mean psychological well-being scores is not meaningful. However, when comparing Denmark and Sweden, very similar data structures, and thus comparable concepts of well-being, are found. Therefore, inter-country comparisons are warranted for these countries.