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Poverty is among the most challenging social problems in the United States today, and beliefs about the government's role in reducing inequality and raising living standards for the poor are critical to alleviating poverty and its consequences. Du Bois recognized the complex challenges associated with poverty and was ahead of his time in pointing to ethnicity and religion as fundamental to creating change and alleviating poverty. Du Bois' ideas continue to be relevant today, including for understanding ethnic differences among Catholics in attitudes toward poverty, which are likely changing given the growth of the Latino population. In the spirit of Du Bois' seminal research, I compare Latino and non‐Latino Catholic attitudes toward poverty and inequality using the 2021 General Social Survey. Findings document critical differences among Catholics in beliefs about poverty and inequality and highlight the interdependent role of religion, ethnicity, and demographics (e.g., age, gender, socioeconomic status [SES]) in shaping attitudes. [ABSTRACT FROM AUTHOR]

In recent decades, the financial elite have seen their economic resources grow significantly, while the income and wealth of other households have stagnated. The financial elite includes couples who are super-rich (top one percent), rich (the 90th–99th percentile), and upper-middle class (the 80th–89th percentile). Gendered work–family arrangements in top economic groups may contribute to inequality—particularly to wealth accumulation among the elite—but relatively little is known about how these couples divide paid and unpaid work or the extent to which their arrangements differ from other couples. In this study, we uncover novel work and family patterns and trends in the most economically powerful families in the United States. We use the Survey of Consumer Finances (1989–2019) to compare the household division of labor across income and wealth groups and over time, with a focus on financial elites. We find stark contrasts between super-rich couples and other couples in the division of labor. Specifically, super-rich couples are much more likely than all other couples, including rich and upper-middle class couples, to have a traditional male breadwinner–female homemaker/caregiver arrangement. Importantly, the striking patterns of traditional arrangements in the top one percent have not changed in 30 years and, as we uncover, appear to be driven by a couple's wealth rather than income. These findings suggest that work–family arrangements may be an integral component of economic and gender inequality. [ABSTRACT FROM AUTHOR]

Nonprofit organizations are important actors in local communities, providing services to vulnerable populations and acting as stewards for charitable contributions from other members of the population. An important question is whether nonprofits spend or receive additional revenues in response to changes in the populations they serve. Because immigrant populations both receive and contribute to nonprofit resources, changes in immigrant numbers should be reflected in changing financial behavior of local nonprofits. Using data from the National Center for Charitable Statistics and the American Community Survey, we study whether nonprofit financial transactions change in response to changes in the local immigration population, the nature of the change, and the degree to which these changes vary by nonprofit type. Findings suggest that nonprofit financial behavior changes with growth and decline in immigrant populations underscoring the importance of nonprofits as service providers and contribute to an understanding of how organizations respond to external forces. [ABSTRACT FROM AUTHOR]

Concern over social scientists' inability to reproduce empirical research has spawned a vast and rapidly growing literature. The size and growth of this literature make it difficult for newly interested academics to come up to speed. Here, we provide a formal text modeling approach to characterize the entirety of the field, which allows us to summarize the breadth of this literature and identify core themes. We construct and analyze text networks built from 1,947 articles to reveal differences across social science disciplines within the body of reproducibility publications and to discuss the diversity of subtopics addressed in the literature. This field-wide view suggests that reproducibility is a heterogeneous problem with multiple sources for errors and strategies for solutions, a finding that is somewhat at odds with calls for largely passive remedies reliant on open science. We propose an alternative rigor and reproducibility model that takes an active approach to rigor prior to publication, which may overcome some of the shortfalls of the postpublication model. [ABSTRACT FROM AUTHOR]

Research on elites experienced a resurgence in sociology over a decade ago, but this work was largely gender neutral. Recently, a body of work on elite women and gender dynamics in elite families emerged and is growing rapidly. We propose here that gendered processes are critical for understanding the reproduction of elite privilege and inequality and highlight three subjects that dominate contemporary literature in this area. First, we address who counts as an elite and gender differences in pathways to the elite. Second, we discuss elite family dynamics and the mechanisms that create traditional gender divisions of labor in elite households. Third, we underscore the significant power that elites have and discuss gender differences in the sources of power. We conclude by identifying areas for future directions, including honing empirical and theoretical understandings of the complex relationship between gender and rising class inequality. [ABSTRACT FROM AUTHOR]

Background: Physicians do not prescribe opioid analgesics for pain treatment equally across groups, and such disparities may pose significant public health concerns. Although research suggests that institutional constraints and cultural stereotypes influence doctors' treatment of pain, prior quantitative evidence is mixed. The objective of this secondary analysis is therefore to clarify which institutional constraints and patient demographics bias provider prescribing of opioid analgesics.Methods: We used electronic medical record data from an emergency department of a large U.S hospital during years 2008-2014. We ran multi-level logistic regression models to estimate factors associated with providing an opioid prescription during a given visit while controlling for ICD-9 diagnosis codes and between-patient heterogeneity.Results: A total of 180,829 patient visits for 63,513 unique patients were recorded during the period of analysis. Overall, providers were significantly less likely to prescribe opioids to the same individual patient when the visit occurred during higher rates of emergency department crowding, later times of day, earlier in the week, later years in our sample, and when the patient had received fewer previous opioid prescriptions. Across all patients, providers were significantly more likely to prescribe opioids to patients who were middle-aged, white, and married. We found no bias towards women and no interaction effects between race and crowding or between race and sex.Conclusions: Providers tend to prescribe fewer opioids during constrained diagnostic situations and undertreat pain for patients from high-risk and marginalized demographic groups. Potential harms resulting from previous treatment decisions may accumulate by informing future treatment decisions. [ABSTRACT FROM AUTHOR]

This study broadens the traditional focus on income as the primary measure of economic deprivation by providing the first analysis of wealth deprivation, or net worth poverty (NWP), and adult health. Net worth poverty—having wealth (assets minus debts) less than one-fourth of the federal poverty line—likely exacerbates the negative effects of income poverty (IP). In 2019, one-third of US households were net worth poor, with substantially higher rates among Black (60%) relative to White (25%) households. We estimate longitudinal growth curve (i.e., linear mixed effects) models to test how NWP, IP, and the interaction of the two predict a diverse set of health measures. We also consider whether NWP resulting from either low assets or high debts is more predictive of health outcomes and test for heterogeneous associations by race. Data come from Panel Study of Income Dynamics on 8,962 individuals ages 25 to 64, observed between 2011 and 2019 (n = 26,776). Adjusting for income poverty, net worth poverty, relative to no poverty, was associated with a one-quarter to one-third increase in the likelihood of reporting poor self-rated health, psychological distress, and work limitations. Simultaneously experiencing both NWP and IP was associated with the largest deficits. Both asset-driven (low asset) and debt-driven (high debt) NWP reduced health, but asset-driven NWP had stronger associations (e.g., a 5-percentage point increase of being in poor health, twice that of debt-driven). White, relative to Black, adults exhibited statistically larger associations for psychological distress (4.3 vs 1.1 percentage points) and work limitations (3.7 vs. 1.5 percentage points). White and Black adults who were jointly net worth and income poor exhibited the most disadvantage. Findings underscore how wealth is a critical component of financial deprivation and that wealth deprivation, particularly the lack of assets, merits attention in socioeconomic studies of health inequalities. • Net worth poverty-wealth less than 1/4 of poverty line-negatively predicts health. • Net worth poverty related to poor health, psychological distress, and work limits. • Being both net worth and income poor put Black and White adults at the most risk. • Lack of assets may be more consequential for poor health than high debt. [ABSTRACT FROM AUTHOR]