Der Laie im Fokus nuklearer Debatten

Since the early 1960s, the French nuclear industry is marked by a structural dichotomy between experts and the general public. Even though citizens secured themselves a place in the decision making process, their scope of action is limited and linked to a discursively framed lay identity. The study focuses on the operationalisation of the lay terminology by the actors of the French nuclear debate. We focus our analysis on two groups of actors: 1) governmental and pro-nuclear organisations and 2) nongovernmental and anti-nuclear organisations. Our aim is to analyze the real-time implications of a discursive regime of participation on the public engagement in science.     

Do downward private transfers enhance maternal labor supply? Evidence from around Europe

Using data on 2,317 mother–daughter pairs from 10 European countries, we investigate the impact of downward time and monetary transfers on the career choices of transfer-receiving young mothers. For Europe as a whole, we find a strong positive effect of grandchild care on the labor force participation and the degree of labor market involvement of the young mother, but no impact of monetary transfers on either of these decisions. Both recipients and donors with better endowments are more likely to participate in a monetary transaction, while mothers with lower level of human capital are more likely to provide time transfers to their better endowed daughters.     

Decision-Making and Evidence in Direct Practice

This article presents the results of research designed to explore decision-making by direct practitioners in selected non-profit human service settings. Forty interviews were conducted with workers at front-line, supervisory and higher-management levels. The research questions included; what sources of information are used in decision-making, what variables enhance or impede utilization of evidence-based knowledge in decision-making and what would be important resources for improving availability, access and utilization of evidence-based knowledge in decision-making? Our results indicate that respondents relied most heavily on experience; on their professional values and beliefs, and on an empathic understanding of their clients’ uniqueness. Compared to these sources of information use of research and the professional literature were less enthusiastically endorsed.     

Bayesian local influence for survival models

The aim of this paper is to develop a Bayesian local influence method (Zhu et al. 2009, submitted) for assessing minor perturbations to the prior, the sampling distribution, and individual observations in survival analysis. We introduce a perturbation model to characterize simultaneous (or individual) perturbations to the data, the prior distribution, and the sampling distribution. We construct a Bayesian perturbation manifold to the perturbation model and calculate its associated geometric quantities including the metric tensor to characterize the intrinsic structure of the perturbation model (or perturbation scheme). We develop local influence measures based on several objective functions to quantify the degree of various perturbations to statistical models. We carry out several simulation studies and analyze two real data sets to illustrate our Bayesian local influence method in detecting influential observations, and for characterizing the sensitivity to the prior distribution and hazard function.     

A stable estimator of the information matrix under EM for dependent data

This article develops a new and stable estimator for information matrix when the EM algorithm is used in maximum likelihood estimation. This estimator is constructed using the smoothed individual complete-data scores that are readily available from running the EM algorithm. The method works for dependent data sets and when the expectation step is an irregular function of the conditioning parameters. In comparison to the approach of Louis (J. R. Stat. Soc., Ser. B 44:226–233, 1982), this new estimator is more stable and easier to implement. Both real and simulated data are used to demonstrate the use of this new estimator.     

Coupon collector's problem and generalized Pareto distributions

Let N_n={1,2,…,n}. We sample with replacement from the set N_n assuming that each element has probability 1/n of being drawn. Let M_n be the waiting time determined by certain stoping rules in the coupon collector's problem. We investigate models for the asymptotic behavior of the excesses of M_n over the high thresholds.     

Black-White Disparities in Life Expectancy: How Much Can the Standard SES Variables Explain?

This article quantifies the extent to which socioeconomic and demographic characteristics can account for black-white disparities in life expectancy in the United States. Although many studies have investigated the linkages between race, socioeconomic status, and mortality, this article is the first to measure how much of the life expectancy gap remains after differences in mortality are purged of the compositional differences in socioeconomic characteristics between blacks and whites. The decomposition is facilitated by a reweighting technique that creates counterfactual estimation samples in which the distribution of income, education, employment and occupation, marital status, and other theoretically relevant variables among blacks is made to match the distribution of these variables among whites. For males, 80% of the black-white gap in life expectancy at age 1 can be accounted for by differences in socioeconomic and demographic characteristics. For females, 70% percent of the gap is accounted for. Labor force participation, occupation, and (among women only) marital status have almost no additional power to explain the black-white disparity in life expectancy after precise measures for income and education are controlled for.     

A Review Essay on the Measurement of Child Well-Being

Research on indicators related to the state of child well-being is a growing field that has experienced several changes over time. The growing supply of data on children, as well as the need to facilitate conclusions and to track trends, has led researchers to develop a number of child well-being indexes. This paper critically reviews the most recent and relevant child well-being indexes, i.e., the Index of Child and Youth Well-Being in the United States, the Child Well-being Index for the European Union, the Microdata Child Well-being Index, and the Deprivation Index. The study focuses primarily on the contributions and innovations the indexes have brought to the field, making a critical assessment of the methods used in the construction of the indexes and identifying their main limitations.     

Revisiting the Structure of Subjective Well-Being in Middle-Aged Adults

Subjective well-being is a broad, multifaceted construct comprising general satisfaction with life, satisfaction with life domains (health, family, people, free time, self, housing, work, and finances), positive affect, and negative affect. Drawing on representative data from middle-aged adults (N = 738), the authors used three different structural models to analyze the interrelationships among these facets of subjective well-being. In a top-down model, a single factor representing global subjective well-being explained the correlations found among the more specific facets of subjective well-being and exerted the strongest influence on general satisfaction with life, satisfaction with health, and satisfaction with finances. In a bottom-up model, satisfaction with the latter two domains had the strongest effect on global subjective well-being. The authors discuss the implications of their findings for research on subjective well-being.