Models of the Joint Structure of Domain-Related and Global Distress: Implications for the Reconciliation of Quality of Life and Mental Health Perspectives

Research on subjective wellbeing includes studies of both domain-related and global distress. The mental health literature, though, focuses almost exclusively on global distress. This seems to be partly due to a common belief that psychological distress, and the moods that comprise distress, necessarily lack referential content. However, if that were the case it would make little sense for any study to ever focus on domain-related distress. The research presented in this report clarifies the relation between global and domain-related distress. We compare confirmatory factor analytic models of the joint relationship among symptoms of global distress with affective symptoms of distress about work, home, and physical appearance. Data are from a general population telephone survey. In the best-fitting models domain-related distress and global psychological distress are related but distinct latent variables. We discuss the theoretical and methodological implications of the models, and model choice.     

Sequential Monte Carlo for rare event estimation

This paper discusses a novel strategy for simulating rare events and an associated Monte Carlo estimation of tail probabilities. Our method uses a system of interacting particles and exploits a Feynman-Kac representation of that system to analyze their fluctuations. Our precise analysis of the variance of a standard multilevel splitting algorithm reveals an opportunity for improvement. This leads to a novel method that relies on adaptive levels and produces, in the limit of an idealized version of the algorithm, estimates with optimal variance. The motivation for this theoretical work comes from problems occurring in watermarking and fingerprinting of digital contents, which represents a new field of applications of rare event simulation techniques. Some numerical results show performance close to the idealized version of our technique for these practical applications.     

Incarceration and Household Asset Ownership

A considerable literature documents the deleterious economic consequences of incarceration. However, little is known about the consequences of incarceration for household assets—a distinct indicator of economic well-being that may be especially valuable to the survival of low-income families—or about the spillover economic consequences of incarceration for families. In this article, we use longitudinal data from the Fragile Families and Child Wellbeing Study to examine how incarceration is associated with asset ownership among formerly incarcerated men and their romantic partners. Results, which pay careful attention to the social forces that select individuals into incarceration, show that incarceration is negatively associated with ownership of a bank account, vehicle, and home among men and that these consequences for asset ownership extend to the romantic partners of these men. These associations are concentrated among men who previously held assets. Results also show that post-incarceration changes in romantic relationships are an important pathway by which even short-term incarceration depletes assets.     

What Influences the Location of Nonprofit Organizations? A Spatial Analysis in Brazil

What are the local characteristics influencing where new nonprofits will be established? How important are community needs, available resources, or the existence of similar organizations for nonprofits’ location? This paper analyzes how the characteristics of 5562 Brazilian municipalities in the year 2000 help explain the location of nonprofits formed between 2001 and 2010. Based on geographically weighted regressions, results indicate that neither access to resources nor poor socioeconomic indicators are powerful influences on nonprofit location in Brazilian municipalities. The main predictor of nonprofit entry is a high pre-existing density of nonprofits in that area. These findings, however, vary across regions and nonprofit fields of activity. By mapping the effect of key explanatory variables, this paper helps understand nonprofit location. The methodology and findings on nonprofit location presented here are novel and may contribute to research in other countries.     

Bureaucratic Neglect and Oppression in Child Welfare: Historical Precedent and Implications for Current Practice

Historically, child maltreatment has been seen as an issue warranting the involvement of the American government. However, over time, the definition of child maltreatment has changed; typically, maltreatment is often understood as a violation of the parental right to care for and protect a child. Consequently, the government, through systems such as child protective services is expected to be the acceptable parental alternative. As illustrated by the numerous negative outcomes experienced, it is clear that the system is not meeting the needs of abused and neglected children. This bureaucratic neglect is allowed to occur because of population primarily served by the child welfare system, the poor and families of color. In this way, dynamics of power and privilege manifest in the differing expectations of appropriate care between biological parents and the foster care system.     

Coalitions of Actors and Managerial Innovations in the Healthcare and Social Healthcare Sector

This paper studies the behavior of a variety of stakeholders around the adoption of managerial innovations desired by operational managers of health services institutions. We show that if the operational manager may cause the managerial innovation, the tool prospective is subject to power games around coalitions of actors. The study of several management situations in health services institutions enables us, using the game theory, to highlight the “winning”, “losing” and “uncertain” coalitions that can achieve operational management within the establishment to settle a managerial innovation.     

Measuring Organizational Performance: A Case for Subjective Measures

We review the organizational performance (OP) measurement literature highlighting the limitations of both objective and subjective measures of performance. We argue that, with careful planning, subjective measures can be successfully employed to assess OP. This is because often consistent, reliable and comparable compatible objective data on OP measures – particularly across countries and sectors – is difficult to come by. Considering that an inflated OP measure can be cross‐checked with the use of secondary data, managers have little incentive to report such figures. As a result, when quizzed over the stand‐alone performance measures of their organizations or vis‐à‐vis their rivals, managers accurately assess and respond to questions on the performance of their organizations. An in‐depth statistical exercise conducted on the subjective measures of OP as reported by managers of four sets of companies in four separate countries, show consistent results, thus lending support to this premise.     

Happy People Have Children: Choice and Self-Selection into Parenthood

There is mixed evidence in the existing literature on whether children are associated with greater subjective well-being, with the correlation depending on which countries and populations are considered. We here provide a systematic analysis of this question based on three different datasets: two cross-national and one national panel. We show that the association between children and subjective well-being is positive only in developed countries, and for those who become parents after the age of 30 and who have higher income. We also provide evidence of a positive selection into parenthood, whereby happier individuals are more likely to have children.     

Cohort Measures of Internal Migration: Understanding Long-Term Trends

Internal migration intensities fluctuate over time, but both migration levels and trends show great diversity. The dynamics underpinning these trends remain poorly understood because they are analyzed almost exclusively by applying period measures to cross-sectional data. This article proposes 10 cohort measures that can be applied to both prospective and retrospective data to systematically examine long-term trends. To demonstrate their benefits, the proposed measures are applied to retrospective survey data for England that provide residential histories from birth to age 50 for cohorts born between 1918 and 1957. The analysis reveals stable lifetime migration for men but increased lifetime migration for women associated with earlier ages at moving in adulthood and a compression of intervals between consecutive moves. The proposed cohort measures provide a more comprehensive picture of migration behavior and should be used to complement period measures in exploring long-term trends. Increasing availability of retrospective and longitudinal survey data means that researchers can now apply the proposed measures to a wide range of countries.