Job Mobility and Early Career Wage Growth of White,African‐American,and Hispanic Women*

Objective. This article examines whether and how young women's job mobility influences racial and ethnic wage‐growth differentials during the first eight years after leaving school. Methods. We use the NLSY‐79 Work History File to simulate the influence of job mobility on the wages of skilled and unskilled workers. Results. African‐American and Hispanic women average less job mobility than white women, especially if they did not attend college. Unskilled women who experience frequent job changes during the first four postschool years reap positive wage returns, but turnover beyond the shopping period incurs wage penalties. Job mobility does not appear to boost wage growth for college‐educated women. Conclusions. Among unskilled women, race and ethnic wage disparities partly derive from group differences in the frequency of job changes, but unequal returns to job mobility drive the wage gaps for skilled women. We discuss several explanations for these disparities.     

Pollutant Ground Concentrations of Nonneutrally Buoyant Particles

A methodology is suggested for the estimation of the mass density and the cumulative ground deposition of a nonvolatile, nonneutrally buoyant, air pollutant (liquid or solid) released from a polluted column (following an explosion caused during routine operation in, e.g., the chemical industry or due to any kind of hostile act) and deposited on the ground via gravitational settling. In many cases, the deposited mass due to gravitational settling constitutes a significant fraction of the original inventory released from the source. Implementation of the methodology in preliminary risk assessments can serve as an efficient tool for emergency planning for both immediate and long‐term measures such as evacuation and decontamination. The methodology considers, inter alia, an estimation of the critical particle diameter, particle size, and mass distributions along the polluted column. This methodology was developed to apply in rural regions since proper application of relevant meteorological input data can be accomplished mainly for such areas.     

Case Reading as a Practice and Training Intervention in Domestic Violence and Child Protection

This article explores the role of a case-reading tool, developed by the Safe and Together Institute, deployed across five Australian states, and which engaged workers from child protection (CP) and specialist domestic and family violence (DFV) services. It aimed to assess the extent to which DFV is identified in CP case files and to assess the quality of case practice from a DFV-informed perspective, as documented in the case file. The Safe and Together approach to child welfare provides a robust foundation upon which practitioners from statutory and nonstatutory backgrounds can work collaboratively and reach consensus about how best to ensure the safety and wellbeing of children living with DFV. The case reading is both a process of transformative working for practitioners and an analytical tool through which their agencies can affect systemic change.

IMPLICATIONS

• A national audit of 20 child protection case files using the Safe and Together case-reading process indicated that documented child protection practice sits at the lower end of a domestic and family violence-informed Continuum of Practice.

• Analysis indicates a need to improve: child protection engagement with fathers who use DFV, assessments of their parenting role and its impact on children and family functioning; identification of adult survivors’ protective capacities and their impact on children.

• Research in this area may have broader implications for other professions and government policy both nationally and internationally.

     

Role of Comparative Risk Assessment in Addressing Environmental Security in the Middle East

During the 21st century, environmental challenges are likely to intensify across the world and possibly lead to violent conflicts. Strategies for conflict avoidance will be incomplete unless they recognize, discuss, and mitigate regional environmental stress factors. Comparative risk assessment (CRA) is one of the most critical tools emerging to influence modern environmental policies and is increasingly used to create a common language to help reconcile competing interests in development and environmental disputes around the world. This article considers the environmental challenges facing the Middle East in light of their "transboundary" nature and proposes CRA as a framework for setting environmental priorities and reducing tensions in the region.     

The Local Life of Nationhood

What characterises many studies that invoke the local can be described as a logic of transcendence. This logic of transcendence does not reject nor disregard the local. Rather, it affirms the centrality of the local. At the same time, the focus is on how the local is historically transcended into higher levels of generality and abstraction; the argument is that only through attention to these higher levels that the meanings of the local become clear. In contrast, the other local which we refer to in this essay is a set of practices which emerges in intimate relationship to nationalism, which in some ways even sustains nationalism, even though the places it produces cannot be understood within the same logic of transcendence. At times, this other local refers to the political and conceptual practices that emerged at the limits of the abstract time and space that constituted nationalism. At other times, this local refers to the marginal in order to represent nationhood anew. Nationhood does not exhaust, sublate or transcend this local; rather, this local continues to live, in the era of nationhood, not so much outside the national, but beyond and alongside it. This other local is explored in this essay by discussing the cases of Germany and India.     

Communicating uncertainty in national security intelligence: Expert and nonexpert interpretations of and preferences for verbal and numeric formats

Organizations in several domains including national security intelligence communicate judgments under uncertainty using verbal probabilities (e.g., likely) instead of numeric probabilities (e.g., 75% chance), despite research indicating that the former have variable meanings across individuals. In the intelligence domain, uncertainty is also communicated using terms such as low, moderate, or high to describe the analyst's confidence level. However, little research has examined how intelligence professionals interpret these terms and whether they prefer them to numeric uncertainty quantifiers. In two experiments (N = 481 and 624, respectively), uncertainty communication preferences of expert (n = 41 intelligence analysts in Experiment 1) and nonexpert intelligence consumers were elicited. We examined which format participants judged to be more informative and simpler to process. We further tested whether participants treated verbal probability and confidence terms as independent constructs and whether participants provided coherent numeric probability translations of verbal probabilities. Results showed that although most nonexperts favored the numeric format, experts were about equally split, and most participants in both samples regarded the numeric format as more informative. Experts and nonexperts consistently conflated probability and confidence. For instance, confidence intervals inferred from verbal confidence terms had a greater effect on the location of the estimate than the width of the estimate, contrary to normative expectation. Approximately one-fourth of experts and over one-half of nonexperts provided incoherent numeric probability translations for the terms likely and unlikely when the elicitation of best estimates and lower and upper bounds were briefly spaced by intervening tasks.     

The inverse Banzhaf problem

Let ${\mathcal{F}}Let F{\mathcal{F}} be a family of subsets of the ground set [n] = {1, 2, . . . , n}. For each i ? [n]{i \in [n]} we let p(F,i){p(\mathcal{F},i)} be the number of pairs of subsets that differ in the element i and exactly one of them is in F{\mathcal{F}}. We interpret p(F,i){p(\mathcal{F},i)} as the influence of that element. The normalized Banzhaf vector of F{\mathcal{F}}, denoted B(F){B(\mathcal{F})}, is the vector (B(F,1),...,B(F,n)){(B(\mathcal{F},1),\dots,B(\mathcal{F},n))}, where B(F,i)=\fracp(F,i)p(F){B(\mathcal{F},i)=\frac{p(\mathcal{F},i)}{p(\mathcal{F})}} and p(F){p(\mathcal{F})} is the sum of all p(F,i){p(\mathcal{F},i)}. The Banzhaf vector has been studied in the context of measuring voting power in voting games as well as in Boolean circuit theory. In this paper we investigate which non-negative vectors of sum 1 can be closely approximated by Banzhaf vectors of simple voting games. In particular, we show that if a vector has most of its weight concentrated in k < n coordinates, then it must be essentially the Banzhaf vector of some simple voting game with n − k dummy voters.