Deepwater Horizon Oil Spill Exposure,Industry Sector,and Child Health

Population Research and Policy Review - The historic 2010 BP Deepwater Horizon Oil Spill (DHOS) led to public distress regarding potential impacts on children in nearby Gulf Coast communities....     

Does Social Capital Make You Generous?*

Objectives. This article tests the hypothesis that social capital—measured in terms of civic group involvement, social and racial trust, and political engagement—leads to charitable behavior by individuals. Methods. I introduce measures of the “social capital elasticity of giving,” which facilitate comparisons between the effects on charity of different social capital types. Using data from the 2000 Social Capital Community Benchmark Survey, I estimate these elasticities with tobit regression models. Results. I find strong links between changes in social capital stocks and changes in giving levels. Furthermore, I find that different social capital types have differing levels of impact on giving. Conclusions. Charitable giving appears to be a beneficial consequence of some types of social capital.     

Quantitative convergence assessment for Markov chain Monte Carlo via cusums

Yu (1995) provides a novel convergence diagnostic for Markov chain Monte Carlo (MCMC) which provides a qualitative measure of mixing for Markov chains via a cusum path plot for univariate parameters of interest. The method is based upon the output of a single replication of an MCMC sampler and is therefore widely applicable and simple to use. One criticism of the method is that it is subjective in its interpretation, since it is based upon a graphical comparison of two cusum path plots. In this paper, we develop a quantitative measure of smoothness which we can associate with any given cusum path, and show how we can use this measure to obtain a quantitative measure of mixing. In particular, we derive the large sample distribution of this smoothness measure, so that objective inference is possible. In addition, we show how this quantitative measure may also be used to provide an estimate of the burn-in length for any given sampler. We discuss the utility of this quantitative approach, and highlight a problem which may occur if the chain is able to remain in any one state for some period of time. We provide a more general implementation of the method to overcome the problem in such cases.     

Accessing Higher Education: The Influence of Cultural and Social Capital on University Choice

Over recent years, sociologists of education have paid increasing attention to the higher education sector. They have highlighted the ways in which, despite the significant expansion in the number of university places available in many countries across the world, access to and choices about higher education continue to be strongly influenced by social class. This article provides an overview of recent literature in this field and explores how scholars have tended to explain this influence by drawing on Pierre Bourdieu's concepts of habitus and cultural and social capital.     

Analyzing gender in public places: Rethinking Goffman’s vision of everyday life

In this study, I discuss critically some of Goffman’s work on public places, with regard to how that work represents women’s experience in public and how women’s experience changes the notions of public places that Goffman portrayed. I draw on an eighteen-month participant observation of one small city (Santa Fe, NM) and a set of in-depth interviews done with both female and male residents of the city. Here, I concentrate on three areas: the normalized distaste for public places that is encouraged in women by their fear of crime in public and the measures they are informed they must take as crime-conscious pedestrians and shoppers; street remarks that are often difficult to manage and impossible to resolve successfully; and access information—information the woman discloses that can be used as a clue to her identity and home and, potentially at least, as ammunition for further harassment of her. I use these areas to illustrate how gender-conscious appraisal is necessary in order to appreciate the character of public places. Her book,Urban Ritual, is forthcoming from University of California Press.     

A comparison of encoding techniques

A limiting constraint of many management science techniques is that inputs from the decision maker based upon his experiences, opinions and intuition are not considered. For those models that do allow this type of input, it is assumed that they can be accurately and precisely defined in a subjective probability distribution. Little attention, however, has been directed towards evaluating the techniques to define these distributions in a management setting. This study investigates the relative merits of four of the most commonly used techniques for the quantification of subjective assessments. When these techniques were used with professionals whose jobs entail evaluation of uncertainty, a clear preference was shown. Additionally, some concluding observations concerning the selection and the application of assessment techniques are presented.     

Automatic starting point selection for function optimization

Traditional (non-stochastic) iterative methods for optimizing functions with multiple optima require a good procedure for selecting starting points. This paper illustrates how the selection of starting points can be made automatically by using a method based upon simulated annealing. We present a hybrid algorithm, possessing the accuracy of traditional routines, whilst incorporating the reliability of annealing methods, and illustrate its performance for a particularly complex practical problem.Now at the Statistical Laboratory, University of Cambridge, 16 Mill Lane, Cambridge, CB2 1SB, UK.     

On the design of comparative lifetime studies

In designing a study to compare two lifetime distributions, decisions are required about the study size, the proportion of observations in each group and the length of follow-up period. These aspects of study design are examined using a Bayesian approach in which the expected consequences of a particular choice of design are evaluated by the expected gain in infornlation.