Objective: This paper demonstrates that localized and chronic stop-question-and-frisk (SQF) practices are associated with community members’ utilization of emergency department (ED) resources. To explain this relationship, we explore the empirical applicability of a legal epidemiological framework, or the study of legal institutional influences on the distribution of disease and injury. Data and Study Design: Analyses are derived from merging data from the Philadelphia Vehicle and Pedestrians Investigation, the National Historical Geographic Information System, and the Southeastern Philadelphia Community Health database to zip code identifiers common to all datasets. Weighted multilevel negative binomial regressions measure the influence that local SQF practices have on ED use for this population. Analytic methods incorporate patient demographic covariates including household size, health insurance status, and having a doctor as a usual source of care. Principal Findings: Findings reveal that both tract-level frisking and poor health are linked to more frequent use of hospital EDs, per respondent report. Despite their health care needs, however, reporting poor/fair health status is associated with a substantial decrease in the rate of emergency department visits as neighborhood frisk concentration increases (IRR = 0.923; 95% CI: 0.891, 0.957). Moreover, more sickly people in high-frisk neighborhoods live in tracts that have greater racial disparities in frisking—a pattern that accounts for the moderating role of neighborhood frisking in sick people's usage of the emergency room. Conclusions: Findings indicating the robust association reported above interrogate the chronic incompatibility of local health and human service system aims. The study also provides an interdisciplinary theoretical lens through which stakeholders can make sense of these challenges and their implications.

As District Measured has noted, DC’s population has been at the same point twice in the past, most recently in the 1970s. However, DC is in a very different place than it was over 40 years ago. Not only have the city’s demographic profile and economic trajectory shifted dramatically, but where people live, and in what configurations, has changed as well. Over time, residential areas have shifted from downtown outward, households are smaller[1] (but more numerous), and the introduction of Metro has changed the transportation geography significantly. The Washington region has seen significant changes in population and density as well.

Is delayed fertility associated with a reduced motherhood wage gap in all occupations? Using multilevel models and data from the 2011–2015 American Community Survey, O*NET, and the Current Population Survey, I examine whether delayed fertility is associated with a reduced motherhood wage gap in 140 occupations. Delayed childbearing is one strategy women use to mitigate the motherhood wage penalty. Findings indicate that mothers in high-earning professional occupations experienced the largest wage penalties with early motherhood but also the largest premiums with delayed childbearing. Although delaying a first birth mitigated the motherhood wage penalty in high-wage occupations requiring extensive career preparation, the majority of women who worked in lower wage occupations with more limited human capital requirements experienced no economic benefit from older motherhood. These results challenge the broader narrative that most women can improve their long-term earnings and partly overcome the structural motherhood wage gap by delaying fertility.

Manufacturing-heavy US regions recently saw lower employment and income growth. Exploiting data on tens of millions of housing transactions, we show that house prices grew by less in the same regions, a pattern exaggerated for the lowest-value homes. Counterfactual accounting exercises reveal that regional di↵erences in the growth of the lowest-value homes more than fully account for a recent increase in overall house price inequality. Given the magnitude of housing in overall wealth, we conclude that di↵erences in regional house price growth, especially the experience of manufacturing-heavy areas, should receive careful attention in studies of wealth inequality.

Although generalists are becoming increasingly abundant and widespread, little is known about their response to ecological variation they encounter across their range. For example, the generalist’s flexible diet is cited to help explain recent range expansions, but no study has directly examined this claim. Here, we use stable isotope values of the Virginia opossum (Didelphis virginiana), a true generalist, to examine an extension of MacArthur’s habitat heterogeneity hypothesis for a single generalist species. If a generalist’s diet reflects local food abundance, then more heterogeneous landscapes should result in broader niches. We used stable isotope analysis, landcover indices, and WorldClim data to further evaluate how the opossum’s use of its environment varies across ancestral regions, expansion fronts, and regions of human-facilitated introductions. Niche breadth varied across its range, especially between expansion fronts. We found a positive relationship between landcover diversity and isotopic niche breadth. WorldClim variables linked to aridity and C4 plant abundance were most strongly associated with nitrogen (d15N) and carbon (d13C) values, respectively. Our results reveal that a generalist’s stable isotope signature reflects its local environment, demonstrating their flexible diet is captured with stable isotopes and supporting the generalist habitat heterogeneity hypothesis.

We inspect the heterogeneous association between tasks and wages across genders using individual‐level data on U.S. workers. Our findings suggest that women receive a higher wage premium when engaged in cognitive tasks and experience more contained wage losses when performing manual activities. However, a wage penalty characterizes women engaged in highly social intensive jobs. Further inspection reveals that this result is especially driven by the teamwork component of social activities.

Using American Community Survey data obtained from IPUMS USA, Urban–Greater DC looked at the characteristics of workers and households in the Greater Washington region. About 357,800 workers are in industries most directly affected by the COVID-19 pandemic—about 11 percent of all workers in the region.

We show that health and productivity around retirement age, and earnings over the life cycle, vary with exposure to economic conditions in early life. Using state-year-level variation from the most severe and prolonged economic downturn in American history-the Great Depression-combined with restricted micro-data from the Health and Retirement Study, we find that changes in macroeconomic indicators before age 6 are associated with changes in economic well-being, earnings, metabolic syndrome, and physical limitations decades later. We also document large declines in long-term mortality. Results are not driven by endogenous fertility responses throughout the 1930s. Our results help inform the design of retirement and healthcare systems and the long-term costs of business cycles.

Context: Twenty states are pursuing community engagement requirements (“work requirements”) in Medicaid, though legal challenges are ongoing. While most nondisabled low-income individuals work, it is less clear how many engage in the required number of hours of qualifying community engagement activities and what heterogeneity may exist by race/ethnicity, age, and gender. The authors' objective was to estimate current levels of employment and other community engagement activities among potential Medicaid beneficiaries. Methods: The authors analyzed the US Census Bureau's national time-use survey data for the years 2015 through 2018. Their main sample consisted of nondisabled adults between 19 and 64 years with family incomes less than 138% of the federal poverty level (N = 2,551). Findings: Nationally, low-income adults who might become subject to Medicaid work requirements already spent an average of 30 hours per week on community engagement activities. However, 22% of the low-income population—particularly women, older adults, and those with less education—would not currently satisfy a 20-hour-per-week requirement. Conclusions: Although the majority of potential Medicaid beneficiaries already meet community engagement requirements or are exempt, 22% would not currently satisfy a 20-hour-per-week requirement and therefore could be at risk for losing coverage.

Research into factors affecting immigrant integration carries important implications for immigration scholars and policymakers. By immigrant integration we mean the nature and extent of temporal and generational convergence between newcomers and natives in sociocultural patterns and socioeconomic attainment (Brown and Bean 2006; Jimenez 2016). Although many studies have investigated the extent to which immigrants and natives come to resemble one another (Waters and Pineau 2015), fewer have devoted attention to whether newcomers arriving under various entry auspices exhibit different integration dynamics and outcomes. A notable exception involves research assessing the degree to which unauthorized entrants incur substantial handicaps compared to those entering with legal status. Because the United States has largely failed to extend official societal membership to unauthorized migrants, their families have been deprived of access to opportunities for achieving socioeconomic mobility (Brown and Bean 2016). Research shows that this has negatively affected migrants, their migrating children, and even their children born in the United States (e.g., Bean, Brown and Bachmeier 2015; Gonzales 2015). Although numerous studies provide striking examples of how this kind of host-society/migrant relationship strongly affects migrant integration, little investigation has delved into the nature and degree to which immigrants arriving under alternative forms of legal entry undergo different integration experiences.

Urbanization results in increasing impervious surfaces with the potential to threaten fragile environments and heighten flood risks. In the United States, research on the social processes driving urbanization has tended to focus on the twenty-first century, but less is known about how temporal trends arose from the spatial layout of the urban land upon which this growth was founded. To address this gap, we present a novel interdisciplinary synthesis using neighborhood-level census data in tandem with a satellite-derived annual land cover change time series to assess the role of race, affluence, and socioeconomic status in shaping spatio-temporal urbanization in the Houston metropolitan area from 1997−2016. Results from cross-sectional and temporal regression models indicate that while social dynamics associated with historical versus recent urbanization are related, they are not identical. Thus, while temporal change in Houston's urbanization is driven primarily by socioeconomic status, the social dynamics associated with spatial disparities in urbanization relate primarily to race, regardless of socioeconomic status. These results are noteworthy as urbanization in Houston does not fully comport with existing theoretical perspectives or with empirical findings nationally. Instead, we suggest these findings reflect the city's politics and culture surrounding land use. Thus, beyond its important social and environmental implications, this study affirms the utility of fusing socio-demographic data with satellite remote sensing of urban growth, and highlights the value of the socioenvironmental succession framework for characterizing urbanization as a recursive process in space and time.

The 2020 LDC U.S. Latino GDP Report seeks to provide a factual view of the largec and rapidly growing economic contribution of Latinos living in the United States. We estimate the U.S. Latino GDP based on a detailed, bottom-up construction which leverages publicly available data from major U.S. agencies. The most recent year for which the core building block is available is 2018. Thus, this year’s report provides a snapshot of the total economic contribution of U.S. Latinos in that year.

Americans with a disability are substantially less likely to be employed than those without a disability. Among those with a disability who are employed, additional layers of inequality have been established, including wage differences and access to benefits. Education is generally viewed as a pathway to professional work with good wages, benefits, and work conditions. In this paper, we utilise data from the 2017 National Survey of College Graduates, a nationally-representative sample of college graduates in the United States, to examine job quality between workers with and without a disability (n = 64,998 between ages 20–64). In addition to economic characteristics where we observe a median wage gap of $6,400 USD by disability status among full-time workers, this paper examines intrinsic qualities of work: autonomy, powerfulness, self-fulfilment, and meaningfulness of work. While college graduates generally rank high on intrinsic work quality (75% or more possess each of these qualities regardless of disability), on three of these four measures, full-time workers with a college degree and a disability scored significantly lower than their counterparts with no disability. We also consider individual-level preferences for job attributes and, after controlling for demographic characteristics, found that differences in intrinsic job quality by disability status remain.

This paper addresses the economic impact of the COVID-19 pandemic by providing timely and accurate information on the impact of the current pandemic on income and poverty to inform the targeting of resources to those most affected and assess the success of current efforts. We construct new measures of the income distribution and poverty with a lag of only a few weeks using high frequency data from the Basic Monthly Current Population Survey (CPS), which collects income information for a large, representative sample of U.S. families. Because the family income data for this project are rarely used, we validate this timely measure of income by comparing historical estimates that rely on these data to estimates from data on income and consumption that have been used much more broadly. Our results indicate that at the start of the pandemic, government policy effectively countered its effects on incomes, leading poverty to fall and low percentiles of income to rise across a range of demographic groups and geographies. Simulations that rely on the detailed CPS data and that closely match total government payments made show that the entire decline in poverty that we find can be accounted for by the rise in government assistance, including unemployment insurance benefits and the Economic Impact Payments. Our simulations further indicate that of those losing employment the vast majority received unemployment insurance, though this was less true early on in the pandemic and receipt was uneven across the states, with some states not reaching a large share of their out of work residents.

Research has indicated that lesbian, gay, bisexual, and queer/questioning (LGBQ) adolescents have disproportionately high rates of substance use compared to heterosexual peers; yet certain features of schools and communities have been associated with lower substance use rates in this population. To advance this field, research examining multiple levels of influence using measures developed with youth input is needed. With community, school, and student data, this study tested hypotheses that LGBQ students attending high schools and living in communities with more LGBQ-supportive environments (assessed with a novel inventory tool) have lower odds of substance use behaviors (cigarette smoking, alcohol use, marijuana use, prescription drug misuse, and other drug use) than their peers in less supportive LGBQ environments. Multilevel models using data from 2454 LGBQ students (54.0% female, 63.9% non-Hispanic white) in 81 communities and adjusting for student and school covariates found that LGBQ adolescents who lived in areas with more community support had lower odds of frequent substance use, particularly among females. Expanding and strengthening community resources (e.g., LGBQ youth-serving organizations, LGBQ events such as a Pride parade, and LGBQ-friendly services) is recommended to further support LGBQ adolescents and reduce substance use disparities.

This paper proposes to treat inequality as an economic externality. Such an externality introduces the societal effects of income inequality into simple welfarist models, wherein these effects are generally omitted. Novel policy consequences are illustrated through an optimal income taxation model; resulting optimal income tax rates become unambiguously more progressive with a negative inequality externality, top optimal tax rates are shown to be particularly susceptible to the inequality externality, and optimal rates above the revenue-maximizing Laffer rate are observed. Our findings indicate that the magnitude of the inequality externality could be a crucial factor in optimal policy design.

This research has two goals: to measure the extent of assortative (non-random) mating by college major in the United States, and to assess the extent to which assortative mating by college major increases earnings inequality among college-educated couples. Assortative mating of college graduates with other college graduates has been extensively studied, but research on assortative mating by field of study is rare. The analysis uses a large sample (659,732 couples) from five years of the American Community Survey public use files to group college degrees into nine categories, compute the frequency of all marital pairings, and compare these frequencies to a random assignment of pairings. The results show that assortative mating by college major is common for all majors and both genders, and that these results are robust to division of the sample by age group. Because high-earning majors tend to be married to spouses from the same high-earning major group, and likewise for low-earning majors, assortative mating increases earnings inequality among two-earner college-educated couples. The extent of this increased earnings inequality is calculated with both dollar measures and standard aggregate measures of inequality. Thus college-educated Americans tend to marry persons with similar college majors and this tendency measurably increases earnings inequality among college-educated couples.

Over 1.5 million new jobs need to be filled by 2026 for medical assistants, nursing aides, and home care aides, many of which will work in the long-term services and supports (LTSS) sector. Using 16 years of data from the American Time Use Survey, we examined the financial vulnerability of high-skill and low-skill LTSS workers in comparison with other health care workers, while providing insight into their well-being by measuring time spent on work and nonwork activities. We found that, regardless of skill status, working in LTSS was associated with lower wages and an increased likelihood of experiencing poverty compared with other health care workers. Results from time diary data indicated that the LTSS workforce spent a greater share of their time working and commuting to work. Low-skill LTSS workers were hardest hit, spending more time on paid and unpaid activities, such as household and child care responsibilities.

A growing body of literature suggests that occupational licensing distorts economic behavior through various mechanisms, such as inflating prices and inhibiting interstate mobility. To combat some of these ill-effects, policymakers have turned to interstate compacts as a way to promote uniformity in licensing requirements across states and facilitate license portability. Despite the development of interstate compacts for numerous licensed occupations and professions, evidence of their efficacy in the literature is thin. Based on data from over 70,000 physicians from 2012 to 2018, I construct a difference-in-differences model to estimate the effects of the adoption of the Interstate Medical Licensure Compact (IMLC) on labor supply and interstate mobility. The results suggest that labor supply and migration/commuting did not significantly change following IMLC adoption.

This paper considers economic development in Puerto Rico following its annexation by the United States in 1898, a watershed moment in the history of the island and the pinnacle of American imperialism in Latin America. Drawing on data from three surveys, I show that male height in Puerto Rico increased at more than twice the average rate for Latin America and the Caribbean between 1890 and 1940. I also show that Puerto Ricans at mid-century were among the tallest Latin Americans outside of Argentina and Uruguay. The evidence supports the conclusion that conditions improved substantially after US annexation, in contrast to the prevailing view in the literature.