Perturbation by multiplicative noise and the Simulation Extrapolation method

While most of the literature on measurement error focuses on additive measurement error, we consider in this paper the multiplicative case. We apply the Simulation Extrapolation method (SIMEX)—a procedure which was originally proposed by Cook and Stefanski (J. Am. Stat. Assoc. 89:1314–1328, 1994) in order to correct the bias due to additive measurement error—to the case where data are perturbed by multiplicative noise and present several approaches to account for multiplicative noise in the SIMEX procedure. Furthermore, we analyze how well these approaches reduce the bias caused by multiplicative perturbation. Using a binary probit model, we produce Monte Carlo evidence on how the reduction of data quality can be minimized. For helpful comments, we would like to thank Helmut Küchenhoff, Winfried Pohlmeier, and Gerd Ronning. Sandra Nolte gratefully acknowledges financial support by the DFG. Elena Biewen and Martin Rosemann gratefully acknowledge the financial support by the Federal Ministry of Education and Research (BMBF). The usual disclaimer applies.     

The Brighter Side of Financial Risk: Financial Risk Tolerance and Wealth

Investors who accept a greater degree of financial risk expect to benefit from higher returns and greater wealth over time. This study explores the relationship between net worth and net financial assets and risk tolerance using data from the 1998 Survey of Consumer Finances. Willingness to take financial risk is associated with a significantly higher net worth for the whole sample, and for samples within age groups. Risk tolerance among those over 65 is among the strongest predictors of a higher net worth.     

A Critical Look at Staff Appraisal: The Case of Women in Scottish Universities

An analysis of appraisal of women staff in Scottish universities reveals two ‘puzzles’. First, although there is a general decline in the use of appraisal schemes in these universities, women staff still have a strong sense of being subject to a disciplinary technology. Second, although appraisal and the broader disciplinary technology disadvantage women, they still want to be appraised. This article uses the critical literature on appraisal, and particularly a Foucauldian analysis of disciplinary power, to shed light on these apparent contradictions. Such an approach helps explain the first of these ‘puzzles’ but a basic conundrum for women remains — although there are demands for appraisal and normalization in the name of fairness and equity, such processes of normalization tend to be gender‐biased and hence should be resisted by women.     

Competition, Race, and the Measurement of Female Labor Activity

Not all groups compete equally in the labor market. Here, we focus on women's competition with men for jobs. This competition assumes that women's employment is affected by men's, and vice versa. We use two statistics—female labor force participation and share—to uncover this competition. 1990 U.S. census data on 281 metropolitan statistical areas were analyzed using weighted least squares regression. Supply-side explanations of female labor activity (education, children, household headship, and government assistance) receive more support than demand-side explanations (poverty, industrial mix, and region). Evidence of competition along gender and race lines is found. Men's employment is buttressed in metropolitan areas by higher wages, less poverty, and more women with children. Welfare benefits (AFDC) and deindustrialization lower black women's employment, while only white women benefit from advanced education and a "feminized" occupational structure. Implications for future research and policy are discussed.     

Secondary Data Analysis in Family Research

This article first provides an overview of the part that secondary data analysis plays in the field of family studies in the early 21st century. It addresses changes over time in the use of existing omnibus data sets and discusses their advantages and disadvantages. The second part of the article focuses on the elements that make a study a “family” study. It describes sources of existing data and the process of selecting a data set. The third part presents special issues and concerns in using existing data, and the fourth part addresses the future of secondary data analysis in the field of family research.     

Exurban residential subdivision development: Effects on water quality and public perception

We investigated how future alternative designs for exurban residential subdivision development in agricultural landscapes might affect aquatic ecosystems and public perceptions, and we asked whether better aquatic ecological quality would correspond with public perceptions of greater landscape attractiveness. The alternative exurban futures we compared were: ecologically beneficial subdivisions, conventional subdivisions, and conventional agriculture. To judge their aquatic ecology effects we measured the chemistry and biota of six first-order streams within our study area, the Huron and Raisin River watersheds in the Detroit CMSA. We chose two stream catchments that exhibited land cover to represent the same proportions as each of three types of alternative exurban futures. Streams in catchments representing ecologically beneficial subdivision designs had the most total macroinvertebrate taxa, the most sensitive macroinvertebrate taxa, lowest nitrates, lowest total phosphorus, and lowest total suspended materials. Nutrient concentrations were highest in agricultural catchments, and suspended sediments were highest in conventional subdivision catchments. To compare public perceptions of the alternative futures, we surveyed 336 suburban and exurban adult residents of the upper Midwest. All respondents viewed digital imaging simulations of each of the futures and rated their attractiveness as if they were seen from the window of a home in the area. Ecologically beneficial futures were perceived as most attractive. Comparing the alternative futures, rankings of aquatic ecological quality were consistent with public perceptions of attractiveness.     

Factors Affecting the Probability of Choosing a Risky Diet

Eating a poor diet is risky behavior. Inadequate nutrition compromises health and can increase the probability of premature death and/or reduced life quality. This paper uses a cost-benefit analysis from a health economic perspective to assess impact of costs and benefits associated with the odds of choosing a risky diet. Results indicate that time preference as measured through education, smoking, exercise, nutrition panel use, and motivation for nutrition knowledge significantly affect the odds of choosing a risky diet. In addition, variables hypothesized to influence the associated costs of tradeoff between present and future utility—location (both region and urbanization), income, race, gender, and age—are found to have an impact on the likelihood of choosing a risky diet.     

THE VOICES OF CHILDREN: PREADOLESCENT CHILDREN'S EXPERIENCES IN FAMILY THERAPY

Although family therapists often include children in therapy sessions, they rarely consider the child's wishes regarding participation or ask children for their impressions of therapy. In this study, 16 children between the ages of 5 and 13 who had participated in at least four family therapy sessions were interviewed to determine their perspectives on the experience. The children made it clear that they wished to be involved in a meaningful way in therapy and that they wanted to come to sessions even when they were not the focus. Feedback from these children is used to suggest ways family therapists might enhance their effectiveness with families with children.     

Cohabiting,Dating, and Perceived Costs of Marriage: A Model of Marriage Entry

This paper investigates the decision to marry among individuals in cohabiting and steady noncohabiting relationships, with emphasis on the effects of cohabitation in the decision‐making process. A model is proposed wherein cohabitation influences the perceived costs and benefits of marriage, which influence intentions and expectations to marry, which influence actual marriage entry. The model is tested using data from the first and second waves of the National Survey of Families and Households. Cohabitation status is found to predict perceived costs and benefits of marriage, and also to predict marriage intentions and expectations. Cost perceptions further predict intentions and expectations among both cohabitors and daters, and perceived costs, intentions, and expectations to marry the partner predict actual marriage behavior. Cohabitation appears to significantly change the context in which decisions about marriage are made in romantic relationships and merits a greater place in the literature on dating and courtship.