State of the Art in Risk Analysis of Workforce Criticality Influencing Disaster Preparedness for Interdependent Systems

The objective of this article is to discuss a needed paradigm shift in disaster risk analysis to emphasize the role of the workforce in managing the recovery of interdependent infrastructure and economic systems. Much of the work that has been done on disaster risk analysis has focused primarily on preparedness and recovery strategies for disrupted infrastructure systems. The reliability of systems such as transportation, electric power, and telecommunications is crucial in sustaining business processes, supply chains, and regional livelihoods, as well as ensuring the availability of vital services in the aftermath of disasters. There has been a growing momentum in recognizing workforce criticality in the aftermath of disasters; nevertheless, significant gaps still remain in modeling, assessing, and managing workforce disruptions and their associated ripple effects to other interdependent systems. The workforce plays a pivotal role in ensuring that a disrupted region continues to function and subsequently recover from the adverse effects of disasters. With this in mind, this article presents a review of recent studies that have underscored the criticality of workforce sectors in formulating synergistic preparedness and recovery policies for interdependent infrastructure and regional economic systems.     

A non-parametric statistic for testing conditional heteroscedasticity for unobserved component models

When prediction intervals are constructed using unobserved component models (UCM), problems can arise due to the possible existence of components that may or may not be conditionally heteroscedastic. Accurate coverage depends on correctly identifying the source of the heteroscedasticity. Different proposals for testing heteroscedasticity have been applied to UCM; however, in most cases, these procedures are unable to identify the heteroscedastic component correctly. The main issue is that test statistics are affected by the presence of serial correlation, causing the distribution of the statistic under conditional homoscedasticity to remain unknown. We propose a nonparametric statistic for testing heteroscedasticity based on the well-known Wilcoxon''s rank statistic. We study the asymptotic validation of the statistic and examine bootstrap procedures for approximating its finite sample distribution. Simulation results show an improvement in the size of the homoscedasticity tests and a power that is clearly comparable with the best alternative in the literature. We also apply the test on real inflation data. Looking for the presence of a conditionally heteroscedastic effect on the error terms, we arrive at conclusions that almost all cases are different than those given by the alternative test statistics presented in the literature.     

Theorizing the lesbian hashtag: Identity,community, and the technological imperative to name the sexual self

This analysis integrates poststructuralist and symbolic interactionist approaches to the self by incorporating the insights of science and technology studies regarding categorization processes. While the advent of the Internet has freed many individuals from geographical constraints on community formation, the architectures of online platforms produce a technological imperative to name aspects of the self with words. Using sexual identity hashtags on Instagram (e.g., #lesbian) thus performs paradoxical functions: the hashtag both enables the construction of a sexual identity within an affirming community and also reinforces the power relations that compel individuals to name and account for their sexual selves. By illustrating one way sexual identities function in the online lives of young women, this research complicates other scholars' findings that the salience of sexual identity categories is decreasing.     

Romantic Partners' Contribution to the Continuity of Male and Female Delinquent and Violent Behavior

Using data drawn from the National Longitudinal Study of Adolescent Health (Add Health), this study examined males' and females' criminality in young adulthood with models that considered the associations of both their own past delinquency and their current partners' criminality. Specific models considered the main effects of both previous adolescent delinquency and violence and current opposite sex romantic partners' criminality and violence, as well as the interaction of these with each other and by sex of primary participant. Main effects for adolescent delinquency and partners' criminality were significant; however, the results of the interactions by sex suggest different patterns of results for males and females. Models run separately by sex showed that having a prior delinquent history predicted adult criminality for males but not for females, while being in a relationship with a criminal partner increased the odds of criminal behavior in young adulthood for both males and females. A different pattern of results was found for violence in young adulthood. Having a prior violent history predicted adult violence for males and females. However, being in a relationship with a violent partner increased the odds of violent behavior for females only.     

Quorum and Turnout in Referenda

We analyze the effect of turnout requirements in referenda in the context of a group turnout model. We show that a participation quorum requirement may reduce the turnout so severely that it generates a “quorum paradox”: In equilibrium, the expected turnout exceeds the participation quorum only if this requirement is not imposed. Furthermore, a participation quorum does not necessarily imply a bias for the status quo. We also show that in order to induce a given expected turnout and avoid the quorum paradox, the quorum should be set at a level that is lower than half the target. Finally, we argue that a super majority requirement to overturn the status quo is never equivalent to a participation quorum. (JEL: D72)     

Intimate Partner Violence in Young Adult Dating,Cohabitating, and Married Drinking Partnerships

Using data from the National Longitudinal Study of Adolescent Health, this study examined intimate partner violence (IPV) and drinking partnerships in 741 young adults in male‐female dating, cohabitating, and married relationships. Cluster analyses revealed four similar kinds of drinking partnerships: (a) congruent light and infrequent, (b) discrepant male heavy and frequent, (c) discrepant female heavy and infrequent, and (d) congruent moderate/heavy‐frequent drinkers. Overall, there were no significant main effect differences across relationship type and clusters. The type of relationship and the type of drinking partnership interacted with contexts examined (i.e., type of violence severity, gender, and whether the violence was perpetration or victimization). Given the severity of IPV in couple relationships, additional empirical attention to drinking partnerships is warranted.