Race-ethnicity and medical services for infertility: stratified reproduction in a population-based sample of U.S. women

Evidence of group differences in reproductive control and access to reproductive health care suggests the continued existence of "stratified reproduction" in the United States. Women of color are overrepresented among people with infertility but are underrepresented among those who receive medical services. The authors employ path analysis to uncover mechanisms accounting for these differences among black, Hispanic, Asian, and non-Hispanic white women using a probability-based sample of 2,162 U.S. women. Black and Hispanic women are less likely to receive services than other women. The enabling conditions of income, education, and private insurance partially mediate the relationship between race-ethnicity and receipt of services but do not fully account for the association at all levels of service. For black and Hispanic women, social cues, enabling conditions, and predisposing conditions contribute to disparities in receipt of services. Most of the association between race-ethnicity and service receipt is indirect rather than direct.     

The Social Construction of Infertility

Health and illness are not objective states but socially constructed categories. We focus here on infertility, a phenomenon that has shifted from being seen as a private problem of couples to being seen as a medical condition. Studying infertility provides an ideal vantage point from which to study such features of health care as inter‐societal and cross‐cultural disparities in health care, the relationship between identity and health, gender roles, and social and cultural variations in the process of medicalization. Infertility is stratified, both globally and within Western societies. Access to care is extremely limited for many women in developing societies and also for marginalized women in some highly industrialized societies. We also discuss the ways in which responses to infertility are influenced by the process of self‐definition. The experience of infertility is profoundly shaped by varying degrees of pronatalism and patriarchy. In advanced industrial societies, where voluntary childfree status is acknowledged, many women experience infertility as a ‘secret stigma’; in other cultures, where motherhood is normative for all women, infertility may be impossible to hide. In the West, acceptance of the medical model is virtually hegemonic, but in other societies medical interpretations of infertility coexist with traditional interpretations.     

Risk preferences and changes in background risk

We present two theorems that yield necessary and sufficient conditions for first- and second-degree stochastic dominance deteriorations of background risk to increase risk aversion with respect to foreground risk. We require that any change in a foreground risk that is undesirable remains so after a background risk changes in a way that is either unfair, undesirable in the sense of reducing expected utility, or undesirable in the sense of increasing expected marginal utility. Our results thus characterize utility functions that are, respectively, vulnerable, proper, or standard with respect to changes in background risk.

Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions

For vectors z and w and scalar v, let r(v, z, w) be a function that can be nonparametrically estimated consistently and asymptotically normally, such as a distribution, density, or conditional mean regression function. We provide consistent, asymptotically normal nonparametric estimators for the functions G and H, where r(v, z, w) = H[vG(z), w], and some related models. This framework encompasses homothetic and homothetically separable functions, and transformed partly additive models r(v, z, w) = h[v + g(z), w] for unknown functions gand h Such models reduce the curse of dimensionality, provide a natural generalization of linear index models, and are widely used in utility, production, and cost function applications. We also provide an estimator of Gthat is oracle efficient, achieving the same performance as an estimator based on local least squares when H is known.     

The Analysis of Crop Variety Evaluation Data in Australia

The major aim of crop variety evaluation is to predict the future performance of varieties. This paper presents the routine statistical analysis of data from late-stage testing of crop varieties in Australia. It uses a two-stage approach for analysis. The data from individual trials from the current year are analysed using spatial techniques. The resultant table of variety-by-trial means is combined with tables from previous years to form the data for an overall mixed model analysis. Weights allow for the data being estimates with varying accuracy. In view of the predictive aim of the analysis, variety effects and interactions are regarded as random effects. Appropriate inferential tools have been developed to assist with interpretation of the results. Analyses must be conducted in a timely manner so that variety predictions can be published and disseminated to growers immediately after harvest each year. Factors which facilitate this include easy access to historic data and the use of specialist mixed model software.     

Corporate Financial Strategies for Global Competitiveness

This paper focuses on the role of corporate financial strategies to improve their market valuations and lower their cost of capital. The identification of successful strategies is accomplished within an overall strategic framework. The paper is built on 12 longitudinal case studies from the Nordic countries to illustrate the linkages between business strategy, firm motivation, and various financial strategies.     

PERFORMANCE OF THE EXPECTED UTILITY METHOD AND TWO OTHER NORMATIVE METHODS IN INSURANCE DECISION MAKING*

In an experiment, thirty-six professional insurance men employed the utility method, the worry method, and the comparison method in two insurance problems to determine the appropriate insurance coverage. It was found that the best act with the utility method almost always was no insurance, whereas the best act with the other two methods tended to be complete insurance. The utility method best act rarely agreed with the subject's actual preferred act, while the comparison method best act usually was the same or almost the same as the actual preferred act. While the worry method suggests that the subjects typically are risk averse, the utility functions obtained tend to show that the subjects typically are not risk averse.     

COMPUTER APPLICATIONS IN TEACHING ECONOMETRICS

In most econometrics courses the students are given limited exposure to the empirical applications of econometric theory. The use of canned programs would make it possible to cover more applied econometric work, and help prepare the students for more empirical work. The computer can be a valuable teaching aid for both instructor and student. The students will also gain valuable experience in the area of computer assisted data analysis. This paper discusses many of the programs appropriate for use in econometrics courses. Examples of problems using programs, and several alternative outlines of possible courses in applied econometrics are presented.     

Expert Views on Their Role as Policy Advisor: Pilot Study for the Cases of Electromagnetic Fields,Particulate Matter,and Antimicrobial Resistance

This perspective presents empirical data to demonstrate the existence of different expert views on scientific policy advice on complex environmental health issues. These views are partly research‐field specific. According to scientific literature, experts differ in the way they provide policy advice on complex issues such as electromagnetic fields (EMF), particulate matter (PM), and antimicrobial resistance (AMR). Where some experts feel their primary task is to carry out fundamental research, others actively engage in the policy dialogue. Although the literature provides ideas about expert roles, there exists little empirical underpinning. Our aim is to gather empirical evidence about expert roles. The results of an international study indicated that experts on EMF, PM, and AMR differ in the way they view their role in the policy dialogue. For example, experts differed in their views on the need for precaution and their motivation to initiate stakeholder cooperation. Besides, most experts thought that their views on the risks of EMF/PM/AMR did not differ from those of colleagues. Great dissensus was found in views on the best ways of managing risks and uncertainties. In conclusion, the theoretical ideal–typical roles from the literature can be identified to a certain extent.