Race,Supervisorial Change,and Job Outcomes: Employability Resilience in NCAA Division I College Basketball Coaching

We examine how race affects the employment status of subordinates following a job change by their immediate supervisors. We test whether racial homophily between a subordinate and a supervisor affects the odds of being let go. We also consider whether a racial match between an incoming head coach and assistant affects whether assistants retain their assistant coaching position. Data for these analyses come from a unique data set that explores what happens to 704 NCAA Division I college basketball assistant coaches after the head coach leaves the school. Logistic regression analyses confirm the benefit of working for a white head coach as this decreases the likelihood of being let go, compared to more positive outcomes such as following the coach to a new school, being internally promoted or retained after the head coach's departure. Furthermore, racial homophily with incoming head coaches insulates subordinates from having to search for new employment by increasing the likelihood of assistants being retained.     

Stories of Non‐Becoming: Non‐Issues,Non‐Events and Non‐Identities in Asexual Lives

In contrast to conventional models of positively “becoming” an identity through social interaction, this article explores the inverse, negational process of “non‐becoming,” whereby actors start but do not continue along an identity career trajectory. Through cumulative attrition, interactions and encounters at key moments create an overall pattern of non‐progression. Using asexuality as an example, we identify three main trajectory stages of non‐awareness, communicative negation and non‐consolidation, each involving interactional contingencies. With a wider applicability to other repudiated identities, this model shows how even negational symbolic social objects (non‐issues, non‐events, and non‐identities) are constituted through social interaction.     

Self-Reported Personal Well-Being of Youth Accessing Intensive Mental Health Treatment

Normative samples have been shown to rate their personal wellbeing (PWB) as positively high and high PWB is associated with many enduring benefits. Cummins (J Happiness Stud 10(6):1–17, 2009) has suggested that PWB has an equilibrium that is set at a rather high positive state and maintained through psychological mechanisms he termed homeostatic protected mood (HPM). Investigators who have explored PWB and mental health disorders have often focused on schizophrenia in adult populations, with varied results, and scant attention has been paid to clinical samples of youth with emotional and/or behavioral disorders. The purpose for this report was to explore the level of PWB reported by a subsample of youth who accessed residential treatment (n = 30) and intensive home based treatment (n = 33) at 12–18 months post-discharge, and explore whether clinical variables could predict PWB. Many youth reported high PWB despite experiencing continued challenges in symptoms and psychosocial functioning. Demographic and clinical characteristics did not predict participants’ PWB scores, lending support for the HPM theory with this sample of youth with emotional and behavioral disorder.     

Widening the social context of disablement among married older adults: Considering the role of nonmarital relationships for loneliness

Utilizing the stress process and life course perspectives, we investigated the influence of non-spousal social support on the associations between marital quality, physical disability, and loneliness among married older adults. Using data from the National Social Life, Health, and Aging Project (NSHAP), we found that the association between physical disability and loneliness was partially accounted for by the fact that physical disability was associated with less supportive nonmarital relationships. While physically-disabled older adults in higher-quality marriages were buffered from loneliness, supportive non-martial relationships did not offset elevated loneliness among those in low-quality marriages. These associations were largely similar for men and women. Thus, although both marital and nonmarital relationships are important for loneliness, when confronted with a stressor such as disablement it is the marital relationship alone that matters.     

BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE

New, “big data” sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar imagery data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services. (JEL R1, C8, C18)     

Lag Length Selection for Unit Root Tests in the Presence of Nonstationary Volatility

A number of recent papers have focused on the problem of testing for a unit root in the case where the driving shocks may be unconditionally heteroskedastic. These papers have, however, taken the lag length in the unit root test regression to be a deterministic function of the sample size, rather than data-determined, the latter being standard empirical practice. We investigate the finite sample impact of unconditional heteroskedasticity on conventional data-dependent lag selection methods in augmented Dickey–Fuller type regressions and propose new lag selection criteria which allow for unconditional heteroskedasticity. Standard lag selection methods are shown to have a tendency to over-fit the lag order under heteroskedasticity, resulting in significant power losses in the (wild bootstrap implementation of the) augmented Dickey–Fuller tests under the alternative. The proposed new lag selection criteria are shown to avoid this problem yet deliver unit root tests with almost identical finite sample properties as the corresponding tests based on conventional lag selection when the shocks are homoskedastic.     

An Empirical Approach to Sufficient Similarity: Combining Exposure Data and Mixtures Toxicology Data

When assessing risks posed by environmental chemical mixtures, whole mixture approaches are preferred to component approaches. When toxicological data on whole mixtures as they occur in the environment are not available, Environmental Protection Agency guidance states that toxicity data from a mixture considered “sufficiently similar” to the environmental mixture can serve as a surrogate. We propose a novel method to examine whether mixtures are sufficiently similar, when exposure data and mixture toxicity study data from at least one representative mixture are available. We define sufficient similarity using equivalence testing methodology comparing the distance between benchmark dose estimates for mixtures in both data‐rich and data‐poor cases. We construct a “similar mixtures risk indicator”(SMRI) (analogous to the hazard index) on sufficiently similar mixtures linking exposure data with mixtures toxicology data. The methods are illustrated using pyrethroid mixtures occurrence data collected in child care centers (CCC) and dose‐response data examining acute neurobehavioral effects of pyrethroid mixtures in rats. Our method shows that the mixtures from 90% of the CCCs were sufficiently similar to the dose‐response study mixture. Using exposure estimates for a hypothetical child, the 95th percentile of the (weighted) SMRI for these sufficiently similar mixtures was 0.20 (i.e., where SMRI <1, less concern; >1, more concern).     

Labour Underutilisation and Gender: Unemployment Versus Hidden-Unemployment

As labour markets have become more complex there has been increasing interest among researchers in understanding the ways that social and labour market processes and contexts impact on various labour market states. One important area has been in understanding the differences between unemployment and hidden unemployment. This paper considers the ways in which these two labour market states differ for a sample of male and female respondents to the Household Income and Labour Dynamics Australia (HILDA) survey. It presents data related to the reasons why respondents in these two labour force states consider they are jobless and analyses the characteristics of male and female respondents in the two labour market states to consider differences in outcomes. The findings suggest that there are differences in the two states of labour market outcomes and that these are further complicated when one considers processes for males and females.     

Sexual Frequency and the Stability of Marital and Cohabiting Unions

Prior research found that lower sexual frequency and satisfaction were associated with higher rates of divorce, but little research had examined the role of sexual activity in the dissolution of cohabiting unions. We drew upon social exchange theory to hypothesize why sexual frequency is more important in cohabitation: (a) cohabitors' lower costs of finding sexual alternatives, (b) cohabitors' lower barriers to ending the relationship in the form of union‐specific economic and noneconomic capital, and (c) cohabitors' higher expectations for sexual activity. Using the National Survey of Families and Households (N = 5,902), we examined the relationship between sexual frequency and union dissolution. Results indicated that low sexual frequency was associated with significantly higher rates of union dissolution among cohabitors than married couples.     

A counterexample to a conjecture of Schwartz

In 1990, motivated by applications in the social sciences, Thomas Schwartz made a conjecture about tournaments which would have had numerous attractive consequences. In particular, it implied that there is no tournament with a partition A, B of its vertex set, such that every transitive subset of A is in the out-neighbour set of some vertex in B, and vice versa. But in fact there is such a tournament, as we show in this article, and so Schwartz’ conjecture is false. Our proof is non-constructive and uses the probabilistic method.