Will You Die for Your Country? Workplace Death in an Era of Mass Incarceration

People with criminal records in the United States continue to face limited employment opportunities due to social stigma and legal barriers. In contrast to the civilian sector, the military conducts a “whole person” evaluation to screen potential recruits and regularly hires people with felony and misdemeanor records. Moreover, evidence suggests that the military serves as a socially integrative institution and may facilitate desistance from future crimes. However, critics argue that the military exacerbates inequalities by subjecting marginalized communities to the unequal burden of service. Using the data obtained from the Army, we examine the relative risks of combat exposure and casualties between enlisted soldiers with and without criminal records who joined between 2002 and 2009. The results suggest that soldiers with felony and misdemeanor records are more likely to be assigned to combat occupations than those without criminal records. We also find that among soldiers assigned to positions with low combat exposure, ex-offenders face a higher risk of death compared to those without criminal records. Findings do not dispute the idea that the military facilitates desistance from future crimes and provides second chances to people with criminal records, but reaffirm the fact that military service costs lives and limbs.     

Driven by Inequalities: Exploring the Resurgence of Domestic Work in U.S. Cities

Domestic work, once the most common occupation for women around the globe, was thought to be well on its way to extinction at the end of the twentieth century. However, in the 1980s and 1990s, evidence began to appear that domestic work was in many places again becoming a growth occupation. My goal in this article is to examine the factors related to the recent expansion of domestic work in countries in the Global North, using the United States as a case study. I draw on U.S. Census data to document the resurgence of domestic work both nationally and in many large cities across the country, and then use multivariate analysis to compare rates of domestic work across these cities. The results indicate that rates of domestic work are highly related to variables measuring structural inequalities (racialization of the labor force, immigration, and economic polarization), while showing little relationship with variables measuring unmet care needs (care dependency ratios, female/maternal labor force participation, and availability of institutional care options). These findings underline the urgency of providing protections to domestic workers and point to the need for scholarship that better theorizes the relationships among unpaid care and different forms of paid care.     

Spatial approaches to measure subnational inequality: Implications for Sustainable Development Goals

The United Nations expressed an interest in reducing subnational (i.e., province and state level) inequality. We propose using a spatial decomposition of the Gini coefficient (SDGC) to track changes in subnational inequality. Typically, agencies do not track summary measures of subnational clustering of development indicators. Tracking changes in the SDGC can help measure and reduce regional inequality. To illustrate the use of the SDGC, we first present data for 93 nations to obtain cross‐sectional variation. Next, to illustrate how the SDGC trends over time, changes in the Human Development Index in Mongolia are compared to Russia and China. The SDGC can show improvement, decline and persistent clustering of subnational level inequality. The SDGC is a useful measure for the United Nations' Sustainable Development Goals.     

Income inequality,poverty and crime across nations

We examine the relationship between income inequality, poverty, and different types of crime. Our results are consistent with recent research in showing that inequality is unrelated to homicide rates when poverty is controlled. In our multi‐level analyses of the International Crime Victimization Survey we find that inequality is unrelated to assault, robbery, burglary, and theft when poverty is controlled. We argue that there are also theoretical reasons to doubt that the level of income inequality of a country affects the likelihood of criminal behaviour.     

"A 20% income increase for everyone?": The effect of relative increases in income on perceived income inequality

Most research on income inequality implicitly assumes that a fixed percentage increase in income across all income levels does not alter income inequality. In contrast with this assumption, we show that relative increases in income lead to increased perceptions of inequality, even when buying power is held constant. In a second experiment, we extended these findings using a fictitious currency, thereby eliminating effects of using a familiar currency. In study 3, we demonstrate that feelings of envy and fairness are affected by a fixed percentage income increase.     

Repelling the “Rutter”: Social Differentiation Among Rural Teenagers

This paper examines low‐income white rural teenagers' management of race and class‐based inequality. It analyzes how these teenagers constructed boundaries to distinguish themselves from outsiders, but also to distinguish themselves from the local abject category of “rutter.” The findings reveal hidden interconnections between race and class in interactional practice, and highlight local processes of differentiation through which actors attempt to deflect stigma and attain credibility. The paper discusses how interactional mechanisms such as “internal othering” and “stigma‐theory” bolster race and class credibility, but reproduce inequality.     

Trust and Estate Planning: The Emergence of a Profession and Its Contribution to Socioeconomic Inequality1

This article offers a new perspective on the connection between socioeconomic inequality and occupations by examining the impact of trust and estate planners on global wealth stratification. While many studies treat the professions as mirrors of inequalities in their environments, this article looks at the ways professionals participate in the creation of stratification regimes. Trust and estate planners do this by sheltering their clients' assets from taxation, thereby preserving private wealth for future generations. Using tools such as trusts, offshore banks, and shell corporations, these professionals keep a significant portion of the world’s private wealth beyond the reach of the state. Trust and estate planning thus contributes to creating and maintaining socioeconomic inequality on a global scale. The significance of the profession has grown as wealth itself has become more fungible, spurring innovation in legal, organizational, and financial strategies, and thwarting a myriad of laws and policies designed to limit enduring inequality in modern, democratic societies.     

Workplace racial composition, perceived discrimination, and organizational attachment

Prior research has devoted considerable attention to the relationship between the racial and ethnic composition of jobs and various indicators of organizational attachment. Fewer studies, however, examine how workplace racial composition affects individuals’ experiences of racial discrimination or how these experiences impact workers’ organizational attachment. To address this lacuna, we first examine the effects of workplace racial composition on perceived racial and ethnic discrimination. Next, we examine whether perceived racial discrimination mediates the association between racial composition and organizational attachment observed in prior studies. Finally, we explore whether these relationships are similar (symmetric) or different (non-symmetric) for non-Whites and Whites. The analyses indicate: (1) working with predominately same-race coworkers tends to diminish perceptions of racial discrimination, (2) perceived racial discrimination mediates some of the effects of racial/ethnic composition on organizational attachment, and (3) some non-symmetric effects between non-Whites and Whites are found. We conclude with implications for future research.     

Public Attitudes towards Income Redistribution: Evidence from Hong Kong

The drivers of public support for redistributive policy have stimulated academic debate around the world. The majority of studies use cross‐country surveys conducted in the Organisation for Economic Co‐operation and Development countries to contribute to the debate on whether self‐interest or social values have more influence on public attitudes towards redistribution. Drawing on a phone survey conducted in 2013, this study advances the discussion by investigating public attitudes towards redistribution and social policy changes against the backdrop of buoyant government revenues in Hong Kong. The Hong Kong welfare model, best seen as a parallel to the liberal welfare state, is selective and residual. Contrary to the usual assumption, the social values hypothesis, viewing poverty as societal problems instead of individual reasons, has been supported in the Hong Kong context. It lends support to greater redistribution in a residual welfare state. The policy implications of the findings are also discussed.     

On the stability of the risk hull method for projection estimators

We consider in this paper the regularization by projection of a linear inverse problem Y=Af+εξ$Y=\mathit{Af}+\epsilon \xi$ where ξ$\xi$ denotes a Gaussian white noise, A   a compact operator and ε>0$\epsilon >0$ a noise level. Compared to the standard unbiased risk estimation (URE) method, the risk hull minimization (RHM) procedure presents a very interesting numerical behavior. However, the regularization in the singular value decomposition setting requires the knowledge of the eigenvalues of A$A$. Here, we deal with noisy eigenvalues: only observations on this sequence are available. We study the efficiency of the RHM method in this situation. More generally, we shed light on some properties usually related to the regularization with a noisy operator.