ON THE INDEPENDENCE OF THE SAMPLE MEAN AND TRANSLATION-INVARIANT STATISTICS FOR MATRIX NORMAL DISTRIBUTIONS

We present an explicit characterization of the joint dependency structure of an n×p matrix normal random matrix such that the p-dimensional sample mean vector is independent of all translation invariant statistics.     

Optimal Times to Contact Sample Households

Finding a suitable respondent at home is an essential and expensivecomponent of a household survey. This article reports on theresults of a study of the probabilities of finding someone aged14 or older at home and discusses the application of such datato survey design and budgeting.     

The Ethical Challenges of Socially Responsible Science

Social responsibility is an essential part of the responsible conduct of research that presents difficult ethical questions for scientists. Recognizing one’s social responsibilities as a scientist is an important first step toward exercising social responsibility, but it is only the beginning, since scientists may confront difficult value questions when deciding how to act responsibly. Ethical dilemmas related to socially responsible science fall into at least three basic categories: 1) dilemmas related to problem selection, 2) dilemmas related to publication and data sharing, and 3) dilemmas related to engaging society. In responding to these dilemmas, scientists must decide how to balance their social responsibilities against other professional commitments and how to avoid compromising their objectivity. In this article, we will examine the philosophical and ethical basis of social responsibility in science, discuss some of the ethical dilemmas related to exercising social responsibility, and make five recommendations to help scientists deal with these issues.     

Financial Well-Being Components

The reported study advances psychological theory of well-being by offering deeper insight into the factors underlying financial well-being (FWB) in particular. An empirical investigation conducted into the determinants of FWB for two population groups, young workers and families with young children in the UK. Their financial decisions have important consequences for their households. A substantial internet survey of 654 people was conducted, which identified the most significant drivers of FWB or satisfaction, which is analogous to the measurement of subjective well-being in the domain of healthcare. The most significant finding from the regression is the significance for both groups of having control over their finances; control is even more important than the amount of available money for this population. A conclusion of the research is that the FWB would be increased if individuals could experience a greater sense of overall control of their money. In particular, financial institutions could provide products and processes to improve the FWB of their customers. There are also potential policy implications from the benefits of lower unsecured debt and increased savings to mitigate unexpected life events.     

An evaluation of the tandem configuration automated guided vehicle system

The performance of a tandem automated guided vehicle (AGV) system is compared with that of conventional AGV track systems. In the tandem system the track is divided into non-overlapping, single-vehicle closed loops. Using simulation it is shown that, because of trips requiring delivery across loops, the tandem system has a higher expected travel time per load and thus a greater average time in system. When the loads are delivered within the original loop only, the tandem system has a lower average time in system than in conventional systems, although the difference is modest. Track layout appears to influence the average time in system much more than docs the dispatching rule invoked. The success of the tandem system is highly dependent on approximately even AGV utilization, which may be difficult to obtain in practice.     

‘Scarier than another storm’: values at risk in the mapping and insuring of US floodplains

How do people respond to the ways in which insurance mediates environmental risks? Socio‐cultural risk research has characterized and analyzed the experiential dimension of risk, but has yet to focus on insurance, which is a key institution shaping how people understand and relate to risk. Insurance not only assesses and communicates risk; it also economizes it, making the problem on the ground not just one of risk, but also of value. This article addresses these issues with an investigation of the social life of the flood insurance rate map, the central technology of the U.S. National Flood Insurance Program (NFIP), as it grafts a new landscape of ‘value at risk’ onto the physical and social world of New York City in the aftermath of Hurricane Sandy. Like other risk technologies, ubiquitous in modern societies as decision‐making and planning tools, the map disseminates information about value and risk in order to tame uncertainty and enable prudent action oriented toward the future. However, drawing together interview, ethnographic, and documentary data, I find that for its users on the ground, the map does not simply measure ‘value at risk’ in ways that produce clear strategies for protecting property values from flooding. Instead, it puts values‐beyond simply the financial worth of places‐at risk, as well as implicates past, present, and future risks beyond simply flooding. By informing and enlarging the stakes of what needs protecting, and from what, I argue that plural and interacting ‘values at risk’ shape how people live with and respond to environmental risks that are mediated by insurance technologies.     

Using a Person-Centered Approach to Examine the Impact of Homelessness on School Absences

Brought on by increasing levels of economic vulnerability, homelessness is a pressing issue for our schools. Homeless students often miss an inordinate amount of school days and are thought to fall at the farthest end of a “continuum of poverty.” Theoretically they have worse outcomes than their peers, though the past 20 years of literature have found inconsistencies in these comparisons. Thus the literature suggests analysis to compare types of students based on outcomes rather than demographic categorizations, a person-centered approach. Using this approach, a comparison of the number of absences for homeless students and their housed peers is made through quantile analysis. Using school administrative data collected over one school year for an entire school district we found that homeless students as an aggregate do not miss significantly more days of school than their poorest peers. However, we found homelessness and poverty dramatically increase the number of absences for children who are in the higher percentiles of absences meaning homelessness has a greater impact on those who miss more days of school in general compared to regular attendees. Findings from this study indicate that homelessness may exacerbate problems rather than cause them. Implications for practice are discussed and directions for future study are proposed.     

Disasters,local organizations,and poverty in the USA, 1998 to 2015

Disaster research has drawn attention to how natural hazards transform local organizational dynamics and social inequalities. It has yet to examine how these processes unfold together over time. We begin to fill this gap with a county-level, longitudinal analysis that examines how property damages from natural hazards correlate not only with local shifts in poverty a year later but also counts of for-profit as well as bonding and bridging social capital organizations. Results show that poverty and all organizational types tend to increase with local hazard damages. They also show that poverty tends to increase most where the number of bonding social capital organizations is also increasing. This pattern suggests a Janus-faced dynamic in which bonding, or more inwardly focused, organizations that arise after disaster may end up inadvertently marginalizing those in more dire need.