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.     

Optimum design-based ratio estimators of the distribution function

The ratio method is commonly used to the estimation of means and totals. This method was extended to the problem of estimating the distribution function. An alternative ratio estimator of the distribution function is defined. A result that compares the variances of the aforementioned ratio estimators is used to define optimum design-based ratio estimators of the distribution function. Different empirical results indicate that the optimum ratio estimators can be more efficient than alternative ratio estimators. In addition, we show by simulations that alternative ratio estimators can have large biases, whereas biases of the optimum ratio estimators are negligible in this situation.     

Lights and shadows on sustainability rating scoring

Many organizations currently publish sustainability ratings that quantify the sustainability of firms by aggregating scores. These organizations analyze companies in economic, social, environmental and corporate governance terms. However, some of these scores are associated with problems of how positive and negative assessments are offset. This work proposes a methodology for using fuzzy logic in the design of a comprehensive sustainability rating for firms. This technique for measuring sustainability addresses the complexity of the concept and enables the incorporation of expert knowledge into the system of assessment. This approach is applied to organizational information taken from the 2008 Accountability Rating and corrects one of the weaknesses revealed by methodologies based on the aggregation of scores—the offset effect—enabling decision-maker to manage it. This is considered an important research topic because of the growth of social responsible financial markets, and the fact that investors are demanding more accurate information.     

Intercultural policies and the contradictory views of teachers: the Roma in Catalonian schools

In this article, we examine the contradictions and lack of consistency between various levels of discourse relating to Roma educational policies. Policy-makers have claimed that political interventions would positively impact the progress of Roma. However, the results have been mixed. We argue here that teachers need to re-evaluate their roles as politically aware and culturally informed agents in order to guarantee social justice to a historically disadvantaged ethnic minority. Based on ethnographical fieldwork carried out over a two-year period with Spanish Roma children, both in schools and in their families, this study shows how intercultural policies have failed to impact the educational realities of Roma children.     

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.