Regenerative Markov Chain Importance Sampling

We introduce Markov Chain Importance Sampling (MCIS), which combines importance sampling (IS) and Markov Chain Monte Carlo (MCMC) to estimate some characteristics of a non-normalized multi-dimensional distribution. Especially, we introduce some importance functions whose variates are regeneratively generated by MCMC; these variates then are used to estimate the quantity of interest through IS. Because MCIS is regenerative, it overcomes the burn-in problem associated with MCMC. It could also speed up the mixing rate in MCMC.     

Threat,prejudice and the impact of the riots in England

This paper examines how a major outbreak of rioting in England in 2011 impacted on prejudice toward three minority groups in Britain: Muslims, Black British and East Europeans. We test whether the riots mobilized individuals by increasing feelings of realistic and symbolic threat and ultimately prejudice, or whether the riots galvanized those already concerned about minorities, thus strengthening the relationship between threat and prejudice. We conducted three national surveys – before, after and one year on from the riots – and show that after the riots individuals were more likely to perceive threats to society’s security and culture, and by extension express increased prejudice toward Black British and East European minorities. We find little evidence of a galvanizing impact. One year later, threat and prejudice had returned to pre-riots levels; however, results from a survey experiment show that priming memories of the riots can raise levels of prejudice.     

Best Invariant and Minimax Estimation of Quantiles in Finite Populations

The theoretical literature on quantile and distribution function estimation in infinite populations is very rich, and invariance plays an important role in these studies. This is not the case for the commonly occurring problem of estimation of quantiles in finite populations. The latter is more complicated and interesting because an optimal strategy consists not only of an estimator, but also of a sampling design, and the estimator may depend on the design and on the labels of sampled individuals, whereas in iid sampling, design issues and labels do not exist.We study the estimation of finite population quantiles, with emphasis on estimators that are invariant under the group of monotone transformations of the data, and suitable invariant loss functions. Invariance under the finite group of permutation of the sample is also considered. We discuss nonrandomized and randomized estimators, best invariant and minimax estimators, and sampling strategies relative to different classes. Invariant loss functions and estimators in finite population sampling have a nonparametric flavor, and various natural combinatorial questions and tools arise as a result.     

Socially Responsible Practices: An Exploratory Study on Scale Development using Stakeholder Theory

Socially responsible practices of firms have evolved into an important area of research in operations management; however, it remains challenging to identify specific scales that capture multiple dimensions of such social practices. In this exploratory study, we use stakeholder theory to develop new multi‐item measurement scales linked to multiple groups (i.e., internal, supplier, customer, and community stakeholders). Furthermore, we empirically test a higher order multidimensional construct that collectively assesses the socially responsible practices of a firm. Using these stakeholder‐derived constructs as taxons in a cluster analysis, we identify important patterns in the way that multiple groups of stakeholders are engaged. Finally, we demonstrate that the set of social practices are complementary and concentrating on one group can yield spillover effects to other specific stakeholder groups.     

Governance Choice,Sourcing Relationship Characteristics,and Relationship Performance

Past work on exchange relationships has debated the efficacy of partnership versus arm's‐length governance on performance of a buyer–supplier relationship. However, how these governance approaches leverage key supplier specific relationship characteristics has not been examined. In this study, we examine the moderating role of governance choice (arm's‐length versus partnership governance) in leveraging key supplier specific characteristics to achieve superior performance for the buyer in a relationship. Specifically, drawing from residual rights theory, we argue that the governance choice buyers make moderates the impact of supplier flexibility, supplier human capital and relationship dependency on performance. Our findings suggest that, for a buyer, the benefits of supplier flexibility and relationship dependency are better realized in partnership governance as opposed to arm's‐length governance. Further, our findings suggest that although buyers choose a specific governance approach consistent with their outsourcing motivation, the choice of governance is critical to leveraging the impact of supplier characteristics due to the moderation effects studied. We elaborate on these effects and discuss the implications of our findings.     

Comparison of Census 2000 and American Community Survey 1999–2001 Estimates: San Francisco and Tulare Counties, California

Data from the United States 2000 decennial census long form sample is compared to the U.S. Census Bureau’s fledgling American Community Survey (ACS) that was designed to replace the census long form in 2010. This article concentrates on two California counties, San Francisco and Tulare, which were part of the demonstration phase of the ACS. These counties are described and an overall comparison of the demographic, social, economic, and housing variables is presented. The project data and measures of census and survey quality such as self-response rates and nonresponse rates are displayed and discussed. Differences in the census and survey results are noted in the context of statistically significant and meaningful differences. Finally, strategies for analyzing and using ACS data are suggested.     

The American Community Survey: general commentary on the findings from external evaluations

As part of the Census Bureau’s effort to prove the operational feasibility of the American Community Survey (ACS), the Bureau contracted with local experts to conduct comparative analyses of the 1999–2001 ACS estimates with the 2000 Census data for various test counties. One of the goals of the ACS is to replace the decennial census long form. The resulting research papers analyzed various quality measures (response rates, allocation rates, and so on), conceptual differences in the two instruments, and statistical reliability in an effort to add to our assessment of the ACS as an adequate replacement instrument for collecting long form data. This paper discusses the results of these four research efforts and presents conclusions and recommendations for further Census Bureau action and research. The quality of traditional long form data, the importance of accurate population estimates and an accurate Master Address File (MAF), and continued research on the quality of small area data are discussed.     

现状、评价与期望：一项对苏南某农村地区计划生育服务的基线调查

本文通过对苏南某农村地区计划生育服务的现状、育龄妇女对服务的评价和期望等的调查分析,了解了近年来计划生育优质服务的基本情况,发现了服务中存在的问题,并对解决途径进行了初探。     

广东妇女企业主和高层妇女管理者调查分析

随着妇女社会经济地位的提高 ,越来越多的女性成为企业家或者进入管理高层。本文对广东女企业主和高层女管理者调查结果进行分析 ,认为这个成功群体奋力劳动创造 ,迸发聪明才智 ,呈现出事业有成经营有方、收入可观福利优厚、观念新颖敢于追求、家庭和谐身心健康等新面貌。     

A Church-Based Sampling Design for Research with Latina Immigrant Women

The U.S. is experiencing its highest immigration rate since the 1930s. The largest proportion of immigrants comes from Latin America, and women constitute a large and growing fraction of this group. Although our knowledge of the relationship between migration and women’s health is increasing, research in this area is still needed, particularly in areas experiencing rapid changes in their Latino populations. Yet research is impeded by the absence of an adequate sampling frame: Latina immigrants remain a largely hidden population. This study tests in four North Carolina counties a church-based sampling frame for Latina immigrant women in their reproductive years. In the study area, on an average week, 20% of the Spanish-speaking population attends church (two-thirds are Catholic). Compared against Census data for the study area, the study sample (n = 706) provided a comparable representation of different national origins. New entrants to the U.S. and married women were overrepresented in the church-based sample. The young (under age 30), and women at the lowest and highest extremes of educational attainment were underrepresented in churches. While a church-based sample is not entirely comparable to the Census, churches can provide timely and cost-effective access to a rapidly changing population of new immigrants. Church-based research should be complemented with research in other settings, adjusting sampling weights for overlap between sampling frames.