Preliminary-Data Error and Monetary Aggregate Targeting

Preliminary monetary aggregate data are subject to subsequent revision because of errors from seasonal and nonseasonal sources that will only be known later. This article examines the characteristics of these revision errors and analyzes their possible effect on monetary policy. It is found that false signals, in the sense that the preliminary M1 growth rate falls within the tolerance band set monthly by the Federal Open Market Committee while the final revised figure lies outside the tolerance limits, or vice versa, occur about two-fifths of the time. It is shown that this proportion can be halved by the adoption of improved seasonal adjustment procedures.     

Perceptions of and Reactions to the Homeless: A Survey of Fourth-Grade,High School,and College Students in a Small Midwestern Community

A total of 459 fourth-graders, high school students, and undergraduates completed a Homelessness Questionnaire developed for use in this study. Although participants generally expressed positive and supportive attitudes toward the homeless, attributing homelessness to either social maladjustment (e.g., drug problem) or negative characteristics (e.g., laziness) within the homeless was positively associated with “fear of and anger toward the homeless” for all groups of participants. In addition, perceptions of and reactions to the homeless were influenced by both the participants’ gender and age group. Although high school and college students’ interest in helping the homeless was associated with various attitudes and reactions (e.g., feelings of sympathy/support), their indication that they had ever helped homeless people (either directly or indirectly) was consistently associated only with the acknowledgment that their mother and father had ever helped homeless people (either directly or indirectly). Among these older participants, homelessness in the United States was rated as a more serious problem at the end of the questionnaire than at the beginning.     

Activities, engagement, and emotion in after-school programs (and elsewhere)

Experiences that are deeply engaging and enjoyable, engender full concentration, and present a balance between challenge and skill promote children's development. This chapter describes a study that sought to identify the kinds of settings and activities that foster engagement and, by extension, positive youth development. The after-school experiences of 191 ethnically diverse youth living in three states, some of whom participated in after-school programs and some of whom did not, were studied. Youth were equipped with logbooks and watches that were programmed to signal at random times. When signaled, youth recorded their location, social partners, activity, and feelings. The study found pervasive differences in the experiences at programs and elsewhere. Youth spent more time in academic and arts enrichment, organized sports and physical activities, community service, and homework at programs versus elsewhere, and they spent less time eating and watching TV at programs. They also reported higher levels of motivation, engagement, and positive affect at programs. At the same time, there were few differences in activities, emotions, effort, or motivation of program participants and nonparticipants when both groups were elsewhere. The similarities in these experiences while elsewhere suggest that the program context, not differences in youth characteristics or interests, was responsible for the feelings of engagement that were reported at programs.     

Disproportionality and Resource‐Based Environmental Inequality: An Analysis of Neighborhood Proximity to Coal Impoundments in Appalachia

Environmental hazards created by resource extraction impose numerous risks on rural populations, but have been understudied in quantitative analyses of environmental inequality. This study fills that gap by examining whether neighborhoods with socioeconomic disadvantages are disproportionately proximate to coal impoundments in Appalachia. Coal impoundments are large, hazardous dams that hold billions of gallons of wastewater and slurry, a sludge‐like by‐product of processing coal. I ground this study in William Freudenburg's double diversion framework, which highlights “disproportionality”—the unequal trade‐off between economic benefits and environmental costs of certain industries. Disproportionality is evident in Appalachia, where coal mining makes up a small percentage of the region's jobs, but threatens local communities through the creation of environmental hazards. Spatial regression results indicate that neighborhoods closest to impoundments are slightly more likely to have higher rates of poverty and unemployment, even after controlling for rurality, mining‐related variables, and spatial dependence. The findings also suggest that a neighborhood's proximity to past mining activity is a stronger predictor of impoundment proximity than current levels of mining employment. This article lays the groundwork for future research on resource‐based environmental inequality that considers the uneven spatial distribution of hazards created by resource extraction.     

Traveling from Feminism to Mainstream Sociology and Back: One Woman's Tale of Tenure and the Politics of Backlash

Within disciplines, the 1980s were an especially heady intellectual time for feminist graduate students. Not only did second wave scholarship prove to be inspirational for dissertation projects, but new books and articles published by women of color, lesbian feminists, postcolonial theorists and poststructuralists posed serious challenges to the ethnocentric assumptions of white, middle-class and Western feminism. Yet, despite over a decade of social movement activism and the creation of feminist institutions and organizations, this generation of feminist scholars worked against a cultural backdrop marked by a dramatic move to the political right. My personal narrative begins in this historical moment charting my political and intellectual trajectory from graduate school to the present. My positioning as a queer feminist between the second and third waves of feminist scholarship carried with it a rewarding intellectual legacy as well as a number of painful contradictions.¹ Further, I argue that these contradictions arose as a consequence of the uneven diffusion and reception of feminist scholarship, particularly the politics of backlash, within institutions and academic departments across the country from the 1980s to the present.     

What a Tangled Web We Weave: Ethical and Legal Implications of Deception in Recruitment

Deception in human subject research is neither uncommon nor prohibited. The use of deception in the recruitment phase of clinical research has received relatively little attention. Given that informed consent is foundational to human subject research, the practice of misrepresenting the study purpose in clinical research would seem to contradict one of the fundamental tenets of ethical human subjects research. Using the example of prodromal psychosis, this article the ethical and legal implications of deception in recruitment and the sufficiency of current guidance on the practice when the study involves a stigmatizing condition, the collection of genetic samples, or both. I conclude that when these two elements are present, deception should only be used when absolutely necessary and, if used, researchers should be required to debrief participants before the collection of genetic samples and give particular attention to minimizing risks of privacy breaches.     

Individual Prior Information in a Physiological Model of 2H8-Toluene Kinetics: An Empirical Bayes Estimation Strategy

Physiologically-based toxicokinetic (PBTK) models are widely used to quantify whole-body kinetics of various substances. However, since they attempt to reproduce anatomical structures and physiological events, they have a high number of parameters. Their identification from kinetic data alone is often impossible, and other information about the parameters is needed to render the model identifiable. The most commonly used approach consists of independently measuring, or taking from literature sources, some of the parameters, fixing them in the kinetic model, and then performing model identification on a reduced number of less certain parameters. This results in a substantial reduction of the degrees of freedom of the model. In this study, we show that this method results in final estimates of the free parameters whose precision is overestimated. We then compared this approach with an empirical Bayes approach, which takes into account not only the mean value, but also the error associated with the independently determined parameters. Blood and breath ²H₈-toluene washout curves, obtained in 17 subjects, were analyzed with a previously presented PBTK model suitable for person-specific dosimetry. Model parameters with the greatest effect on predicted levels were alveolar ventilation rate Q_PC, fat tissue fraction V_FC, blood-air partition coefficient K_b, fraction of cardiac output to fat Q_a/co and rate of extrahepatic metabolism V_max-p. Differences in the measured and Bayesian-fitted values of Q_PC, V_FC and K_b were significant (p < 0.05), and the precision of the fitted values V_max-p and Q_a/co went from 11 ± 5% to 75 ± 170% (NS) and from 8 ± 2% to 9 ± 2% (p < 0.05) respectively. The empirical Bayes approach did not result in less reliable parameter estimates: rather, it pointed out that the precision of parameter estimates can be overly optimistic when other parameters in the model, either directly measured or taken from literature sources, are treated as known without error. In conclusion, an empirical Bayes approach to parameter estimation resulted in a better model fit, different final parameter estimates, and more realistic parameter precisions.     

Is County Level of Social,Creative, and Human Capital Associated with Winning Humanities Grants in Kansas?

This article examines patterns of Kansas Humanities Council grant distributions to organizations in the state's counties and then assesses social, creative, and human capital explanations for the observed patterns. Substantial numbers of counties have received no grants across a fifteen‐year period. Why is that? The analyses reveal that the presence of statistically significant relationships depends on the intersection of the type of capital in the county and the type of grant program: (1) the receipt of heritage grants is associated with county levels of network social capital, particularly those networks that are “non‐rent‐seeking”; (2) the receipt of “mini” Humanities grants and total grants are associated with levels of creative capital; and (3) the level of human capital makes little difference in grant patterns. These relationships persist under controls for racial/ethnic diversity, income inequality, and dominant political ideology. The implications of the results are assessed in terms of strategies for granting agencies to deal with building community life in low–social capital settings.     

What We Are Talking About When We Talk About Social Media: A Framework for Study

Social media continues to grow as a focus of social, organizational, and scholarly interest, yet there is little agreement as to what constitutes social media and how it can be effectively analyzed. We review various definitions of social media and note that much of the confusion regarding social media comes from conflation between social media types, platforms, and activities. To facilitate investigations of social media, we debunk common social media myths and review the relationship between social media and several prominent sociological concerns. We conclude by reflecting on directions for future research on social media.