An Adaptive,Rate‐Optimal Test of a Parametric Mean‐Regression Model Against a Nonparametric Alternative

We develop a new test of a parametric model of a conditional mean function against a nonparametric alternative. The test adapts to the unknown smoothness of the alternative model and is uniformly consistent against alternatives whose distance from the parametric model converges to zero at the fastest possible rate. This rate is slower than n^−1/2. Some existing tests have nontrivial power against restricted classes of alternatives whose distance from the parametric model decreases at the rate n^−1/2. There are, however, sequences of alternatives against which these tests are inconsistent and ours is consistent. As a consequence, there are alternative models for which the finite‐sample power of our test greatly exceeds that of existing tests. This conclusion is illustrated by the results of some Monte Carlo experiments.     

Student degree program and attitudes toward gays and lesbians in the military: is there a connection?

Individuals routinely experience discrimination based on sexual orientation. Since the implementation of Don't Ask, Don't Tell in 1994, over 13,000 military personnel have been discharged from the U.S. military on the basis of sexual orientation. As helping professionals, social workers will often provide services to returning gay and lesbian veterans. Therefore, social work programs must ensure that students develop positive attitudes toward and understanding of the needs presented by this population. Little is known about whether a specific degree program can be a predictor of student attitude toward gay and lesbian individuals in the military. Eighty-nine graduate students completed the Attitudes Toward Homosexuals in the Military (ATHM) scale, and scores were compared between two graduate degree programs: Social Work and Business Administration. A statistically significant relationship was found between degree program and ATHM scores. Implications for policy, practice and research related to gay and lesbian veterans are discussed.     

Unaccompanied migrant children and indebted relations: Weaponizing safeguarding

UK statutory guidance for practitioners suggests that indebtedness is an area where safeguarding red flags should be raised and action taken to minimize the risk of exploitation. Yet, our research shows that unaccompanied migrant children have complex indebted relationships, which can range from extractive to connective. Drawing on interviews with unaccompanied children, we show that these indebted relationships can include financial debt to smugglers, responsibilities to support transnational families, as well as social obligations to peers and others. Their accounts present a nuanced understanding of the taboo nature of indebted relationships, not to be shared with the practitioners in their lives. This is due, in part, to the potential threat of reporting to the Home Office, which might jeopardize their immigration status. In response to this weaponization of social care, we demonstrate how children turn to peer networks of support, creating their own alternative forms of social protection. In so doing, we complicate critiques of adultification, which traditionally highlight the ways that racially minoritized children may be treated as adults—to their detriment. In so doing, we show that because indebtedness is normatively linked to adulthood, unaccompanied children's hopes and fears may be rendered unsayable and therefore unsupportable in social care, all in the name of safeguarding.     

Resilience and risk competence in schools: theory/knowledge and international application in project rebound

Despite a 50-year interdisciplinary and longitudinal research legacy--showing that nearly 80% of young people considered most "at risk" thrive by midlife-only recently have practitioners/researchers engaged in the explicit, prospective facilitation of "resilience" in educational settings. Here, theory/knowledge distinguishing and extending risk and resilience from its risk-based social history to resilience's normative occurrence leads to the first known international and prospective application of resilience in school-based drug education, Project REBOUND [resilience-bound]. It will be implemented as a controlled pilot study, first in Germany, then expand to the United States, as well as other parts of Europe. With evaluation occurring throughout, the goal is to enhance the quality of drug decisions among young people, as well as support their overall competence-based learning and development throughout school. With limitations and underlying psychological mechanisms discussed, it is concluded Project REBOUND offers promising potential for supporting positive drug decisions as well as youth learning and development.     

Correction Constants for Present Values of Seasonal Cash Flows

In a recent Decision Sciences article, McMath (1990) developed the correction constants approach for eliminating the end-of-year bias in the present value of streams with subannual cash flows. A limitation of this approach is that it assumes subannual cash flows are level. In many types of businesses, subannual cash flows follow a predictable seasonal pattern and, consequently, a present value estimate based upon a level correction constant is biased. This article derives a general formula for determining correction constants for seasonal cash flow patterns, examines the direction and magnitude of the seasonal bias, and applies seasonal correction constants to a capital budgeting problem.     

Uncertainty and Variability in Health-Related Damages from Coal-Fired Power Plants in the United States

The health‐related damages associated with emissions from coal‐fired power plants can vary greatly across facilities as a function of plant, site, and population characteristics, but the degree of variability and the contributing factors have not been formally evaluated. In this study, we modeled the monetized damages associated with 407 coal‐fired power plants in the United States, focusing on premature mortality from fine particulate matter (PM_2.5). We applied a reduced‐form chemistry‐transport model accounting for primary PM_2.5 emissions and the influence of sulfur dioxide (SO₂) and nitrogen oxide (NO_x) emissions on secondary particulate formation. Outputs were linked with a concentration‐response function for PM_2.5‐related mortality that incorporated nonlinearities and model uncertainty. We valued mortality with a value of statistical life approach, characterizing and propagating uncertainties in all model elements. At the median of the plant‐specific uncertainty distributions, damages across plants ranged from $30,000 to $500,000 per ton of PM_2.5, $6,000 to $50,000 per ton of SO₂, $500 to $15,000 per ton of NO_x, and $0.02 to $1.57 per kilowatt‐hour of electricity generated. Variability in damages per ton of emissions was almost entirely explained by population exposure per unit emissions (intake fraction), which itself was related to atmospheric conditions and the population size at various distances from the power plant. Variability in damages per kilowatt‐hour was highly correlated with SO₂ emissions, related to fuel and control technology characteristics, but was also correlated with atmospheric conditions and population size at various distances. Our findings emphasize that control strategies that consider variability in damages across facilities would yield more efficient outcomes.     

We care about care: advice by children in care for children in care,foster parents and child welfare workers about the transition into foster care

Twenty children in foster care, ages 8 to 15 years, provided advice to children in care, foster parents and child welfare workers about ways to assist service delivery during the transition into foster care. The children discussed the importance of tending to experiences such as foster home expectations, the importance of time and information, the new foster/parent–child relationship, coping with stress, the ability to be engaged in decision‐making, the benefits of foster care and the need to build a trusting and personal relationship between children in care and their caregivers. The importance of listening to children's experiences of the transition into foster care and incorporating their advice into future research, policy and practice will be discussed.     

Some results for maximum likelihood estimation of adjusted relative risks

Maximum likelihood (ML) estimation of relative risks via log-binomial regression requires a restricted parameter space. Computation via non linear programming is simple to implement and has high convergence rate. We show that the optimization problem is well posed (convex domain and convex objective) and provide a variance formula along with a methodology for obtaining standard errors and prediction intervals which account for estimates on the boundary of the parameter space. We performed simulations under several scenarios already used in the literature in order to assess the performance of ML and of two other common estimation methods.