The Cost of a Calling? Clergywomen and Work in the Church of England

This article explores the work of clergywomen in the Church of England within an analysis of the Church as a gendered organization. We highlight the sex discrimination they often face, at the same time as satisfaction with their work and the need to follow their calling regardless of the difficulties. This is explained through an analysis of the significance of religious calling and the requirement for ‘sacrifice’ on their ability to endure their work and to challenge discriminatory treatment.     

Social Relations Model Analyses of Perceived Self‐Control and Trust in Families

How do people know which family member is trustworthy? In this study, the authors tested the hypothesis that people use their perception of a family member's self‐control as an indicator of his or her trustworthiness. Eighty‐four Dutch families consisting of 2 parents and 2 children completed questionnaires assessing each family member's trust in and perceived self‐control of the other 3 family members. This full‐family design enabled the authors to examine their hypothesis in horizontal relationships, between family members of equal status (i.e., parent–parent and sibling–sibling relationships), and vertical relationships, in which partners have unequal status (i.e., parent–child and child–parent relationships). Consistent with the hypothesis, Social Relations Model analyses showed that being perceived as having higher self‐control is related to greater trustworthiness among adults and children in the large majority of horizontal and vertical relationships (10 out of 12). These findings highlight that perceived self‐control is an important factor by which to gauge trustworthiness in families.     

Urbanicity Moderates Associations between Family Income and Adolescent Academic Achievement

Research has shown that family income's relations to early childhood achievement is stronger in large inner cities and weaker in less urbanized areas. Research has not yet considered whether links between family income and achievement in adolescence differ across the urban to rural landscape. Using nationally representative data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–1999 (N ≈ 9,350), this study examines differences in family income's links with eighth‐grade achievement across large urban, small urban, suburban, and rural communities. The point at which income‐achievement links plateau occurs later in the income distribution in less urbanized areas. The magnitude of the association between family income and reading and science skills also differs across the urban‐rural continuum, such that family income has stronger relations to reading and science achievement in urban cities and weaker links in suburban and rural communities.     

THE RELATIONSHIP BETWEEN DEBT LEVEL AND FISCAL SUSTAINABILITY IN ORGANIZATION FOR ECONOMIC COOPERATION AND DEVELOPMENT COUNTRIES

In this article we unify the traditional approaches to testing for fiscal sustainability considering the stock‐flow system that fiscal variables configure. Our approach encompasses previous ways of testing for sustainability. The results obtained for a group of 17 Organization for Economic Cooperation and Development (OECD) countries point to weak fiscal sustainability, as well as to the existence of cointegration between deficit and debt, confirming the relevance of the stock‐flow approach. Allowing for structural breaks and multicointegration turns out to be of critical importance to assess whether the fiscal authorities apply their policies looking for sustainability and whether, simultaneously, they try to stabilize real debt target levels. (JEL H62, E62, C22)     

ON THE INTERNAL REVENUE SERVICE'S SERVICE AND ENFORCEMENT

Built on the seminal work of Graetz et al. (1986), this study considers a model of tax compliance in which the Internal Revenue Service (IRS) services as well as audits taxpayers as in the real world. Taxpayers are uncertain about whether their incomes are eligible for deduction/exemption, and may seek advice from the taxpayer service provided by the IRS to mitigate the uncertainty. We show: (1) while the society's preferred quality of taxpayer service is likely to be sufficiently high, the IRS's preferred quality of taxpayer service is only at an intermediate level; and (2) the conflict between the society and the IRS tends to be intensified as the cost of tax audits becomes lower. Evidence in support of our results is addressed. We also extend our model to addressing the issue of corruption in tax administration and to considering a dynamic model. (JEL D82, H26, K42)     

Exact calculation of power and sample size in bioequivalence studies using two one‐sided tests

The number of subjects in a pharmacokinetic two‐period two‐treatment crossover bioequivalence study is typically small, most often less than 60. The most common approach to testing for bioequivalence is the two one‐sided tests procedure. No explicit mathematical formula for the power function in the context of the two one‐sided tests procedure exists in the statistical literature, although the exact power based on Owen's special case of bivariate noncentral t‐distribution has been tabulated and graphed. Several approximations have previously been published for the probability of rejection in the two one‐sided tests procedure for crossover bioequivalence studies. These approximations and associated sample size formulas are reviewed in this article and compared for various parameter combinations with exact power formulas derived here, which are computed analytically as univariate integrals and which have been validated by Monte Carlo simulations. The exact formulas for power and sample size are shown to improve markedly in realistic parameter settings over the previous approximations. Copyright © 2014 John Wiley & Sons, Ltd.     

Letter to the editor by the authors of Exact Calculation of Power and Sample Size in Bioequivalence Studies Using Two One‐sided Tests,Pharmaceutical Statistics,DOI: 10.1002/pst.1666

This article reflects the views of the authors and should not be construed to be those of the US Food and Drug Administration. Copyright © 2015 John Wiley & Sons, Ltd.     

Hedging Barrier Options in GARCH Models with Transaction Costs

This study proposes a modified strike‐spread method for hedging barrier options in generalized autoregressive conditional heteroskedasticity (GARCH) models with transaction costs. A simulation study was conducted to investigate the hedging performance of the proposed method in comparison with several well‐known static methods for hedging barrier options. An accurate, easy‐to‐implement and fast scheme for generating the first passage time under the GARCH framework which enhances the accuracy and efficiency of the simulation is also proposed. Simulation results and an empirical study using real data indicate that the proposed approach has a promising performance for hedging barrier options in GARCH models when transaction costs are taken into consideration.     

On False Discovery and Non‐discovery Proportions of the Dynamic Adaptive Procedure

This paper studies the asymptotic behaviour of the false discovery and non‐discovery proportions of the dynamic adaptive procedure under some dependence structure. A Bahadur‐type representation of the cut point in simultaneously performing a large scale of tests is presented. The asymptotic bias decompositions of the false discovery and non‐discovery proportions are given under some dependence structure. In addition to existing literatures, we find that the randomness due to the dynamic selection of the tuning parameter in estimating the true null rate serves as a source of the approximation error in the Bahadur representation and enters into the asymptotic bias term of the false discovery proportion and those of the false non‐discovery proportion. The theory explains to some extent why some seemingly attractive dynamic adaptive procedures do not outperform the competing fixed adaptive procedures substantially in some situations. Simulations justify our theory and findings.     

When Costs Are Unequal and Unknown: A Subtree Grafting Approach for Unbalanced Data Classification*

In binary classifications, a decision tree learned from unbalanced data typically creates an important challenge related to the high misclassification rate of the minority class. Assigning different misclassification costs can address this problem, though usually at the cost of accuracy for the majority class. This effect can be particularly hazardous if the costs cannot be specified precisely. When the costs are unknown or difficult to determine, decision makers may prefer a classifier with more balanced accuracy for both classes rather than a standard or cost‐sensitively learned one. In the context of learning trees, this research therefore proposes a new tree induction approach called subtree grafting (STG). On the basis of a real bank data set and several other data sets, we test the proposed STG method and find that our proposed approach provides a successful compromise between standard and cost‐sensitive trees.