On a class of distributions on the simplex

In the present paper we define and investigate a novel class of distributions on the simplex, termed normalized infinitely divisible distributions, which includes the Dirichlet distribution. Distributional properties and general moment formulae are derived. Particular attention is devoted to special cases of normalized infinitely divisible distributions which lead to explicit expressions. As a by-product new distributions over the unit interval and a generalization of the Bessel function distribution are obtained.     

New perspective on the benefits of the gene–environment independence in case–control studies

We study the benefit of exploiting the gene–environment independence (GEI) assumption for inferring the joint effect of genotype and environmental exposure on disease risk in a case–control study. By transforming the problem into a constrained maximum likelihood estimation problem we derive the asymptotic distribution of the maximum likelihood estimator (MLE) under the GEI assumption (MLE‐GEI) in a closed form. Our approach uncovers a transparent explanation of the efficiency gained by exploiting the GEI assumption in more general settings, thus bridging an important gap in the existing literature. Moreover, we propose an easy‐to‐implement numerical algorithm for estimating the model parameters in practice. Finally, we conduct simulation studies to compare the proposed method with the traditional prospective logistic regression method and the case‐only estimator. The Canadian Journal of Statistics 47: 473–486; 2019 © 2019 Statistical Society of Canada     

Involving academics in the accounting standard setting process: an application of the Delphi methodology to the assessment of IASB proposals

The aim of this paper is to highlight the relevance of academic input to the accounting standard setting process by way of both ex-ante research and direct participation. We propose the Delphi methodology as a rigorous scientific way to analyse the perception of a new IASB accounting regulation from an “ex-ante” constituency perspective. We argue that this tool can be used as a useful complementary analysis to introduce timely and comprehensive additional feedback to standard-setters’ deliberations regarding the potential effects of their proposals when some conditions are met, and that gaining academic input in the process could make a difference. We apply this to the specific case of the IASB Management Commentary project. The main contribution of this study is to show how this research yields different perceptions that can add to the analysis of comment letters in the deliberations of the IASB. The most remarkable findings are (1) that the introduction of academic opinions (practically absent in the formal consultation process) yields important and different inputs and (2) that the characteristics of this tool allow for additional arguments, which are not usually evident in the formal comment letters, to be obtained from constituents. This study attempts to respond to the recent standard-setter call for more academic contributions to the standard-setting process.     

The research frontier in corporate governance

In this paper we attempt to identify the research frontier in corporate governance using three different approaches: (1) what challenges does the financial crisis 2007–2009 pose for corporate governance research? We show that the financial crisis is a huge natural experiment which has exposed gaps in our knowledge of corporate governance and is likely to lead of a rethink of central concepts like shareholder value, debt governance, and management incentives (2) what do we know and what do we need to how about the impact of national institutions on corporate governance? (3) What research questions are raised by a focus on current corporate governance practices?     

Importance of Uncertainty and Variability to Predicted Risks from Trophic Transfer of PCBs in Dredged Sediments

Biomagnification of organochlorine and other persistent organic contaminants by higher trophic level organisms represents one of the most significant sources of uncertainty and variability in evaluating potential risks associated with disposal of dredged materials. While it is important to distinguish between population variability (e.g., true population heterogeneity in fish weight, and lipid content) and uncertainty (e.g., measurement error), they can be operationally difficult to define separately in probabilistic estimates of human health and ecological risk. We propose a disaggregation of uncertain and variable parameters based on: (1) availability of supporting data; (2) the specific management and regulatory context (in this case, of the U.S. Army Corps of Engineers/U.S. Environmental Protection Agency tiered approach to dredged material management); and (3) professional judgment and experience in conducting probabilistic risk assessments. We describe and quantitatively evaluate several sources of uncertainty and variability in estimating risk to human health from trophic transfer of polychlorinated biphenyls (PCBs) using a case study of sediments obtained from the New York-New Jersey Harbor and being evaluated for disposal at an open water off-shore disposal site within the northeast region. The estimates of PCB concentrations in fish and dietary doses of PCBs to humans ingesting fish are expressed as distributions of values, of which the arithmetic mean or mode represents a particular fractile. The distribution of risk values is obtained using a food chain biomagnification model developed by Gobas by specifying distributions for input parameters disaggregated to represent either uncertainty or variability. Only those sources of uncertainty that could be quantified were included in the analysis. Results for several different two-dimensional Latin Hypercube analyses are provided to evaluate the influence of the uncertain versus variable disaggregation of model parameters. The analysis suggests that variability in human exposure parameters is greater than the uncertainty bounds on any particular fractile, given the described assumptions.     

Exorcism Leads to Reenactment of Trauma in a Mauritian Woman

ABSTRACT

Childhood trauma can have a lasting effect on personality and daily functioning, leading to dissociative changes in behavior and identity. How these are interpreted and handled usually depends on local culture and beliefs. This article presents the case of a Mauritian woman with a history of childhood abuse who was exorcised to “dispel an evil spirit.” An in-depth interview exploring her experiences and meaning-making was transcribed and subjected to interpretative phenomenological analysis. This article discusses possession as a culturally accepted metaphor for incomprehensible behaviors. It shows that help-seeking pathways are determined by symptom interpretation models that are reinforced by the local environment. It also demonstrates that exorcisms are potentially retraumatizing by the enactment of painful memories and emotions during this ritual. The authors stipulate that exorcism seekers could benefit from additional clinical assessment by professionals experienced in the dissociation field.     

Perfectionism and Choice

Empirical evidence suggests that perfectionism can affect choice behavior. When striving for perfection, a person can desire to keep normatively appealing options feasible even if she persistently fails to use these options later. For instance, she can “pay not to go to the gym,” as in DellaVigna and Malmendier (2006). By contrast, some perfectionists may avoid normatively important tasks for fear of negative self‐evaluation of their performance. This paper models perfectionist behaviors in Gul and Pesendorfer's (2001) menu framework where agents may be tempted to deviate from their long‐term normative objectives. In addition to self‐control costs, I identify a utility component that reflects emotional costs and benefits of perfectionism. My model is derived from axioms imposed on preferences over menus in an essentially unique way.     

Policy Streams and Immigration to Russia: Competing and Complementary Interests at the Federal and Local Levels

This article uses Kingdon's Multiple Streams Framework to explain forms of national‐ and region‐level governance used in the Russian Federation to manage unprecedented levels of international immigration. First, we identify the ways that the Russian federal government has legislated and governed international migration from 1991 through 2010. We then compare the federal level to the case of the Krasnodar region, an ethnically diverse region in the North Caucasus. We find that that migration policy adoption in Russia at the federal level is relatively immune to economic trends or labour needs but more sensitive to foreign and domestic political objectives. At the regional level, local socio‐political and economic concerns predominate and political objectives are secondary. Finally, we argue that migration policy changes or adopted policy at the regional level may be explained by an interaction effect between changes in political leadership, federal level policy adoption, and regional level context.