This article examines an important and thorny problem in interview research: How to assess whether what people say motivated their actions actually did so? We ask three questions: What specific challenges are at play? How have researchers addressed them? And how should those strategies be evaluated? We argue that such research faces at least five challenges—deception, recall error, reasonableness bias, intentionality bias, and single-motive bias—that more than a dozen strategies have been deployed to address them; that the strategies have been external, internal, or interactional in nature; and that each class of strategies demands distinct evaluation criteria. Researchers will likely fail to uncover motivation if they ignore the possibility of each challenge, conflate one challenge with another, or deploy strategies unmatched to the challenge at hand. Our work helps systematize the evaluation of interview-based studies of motivated action and strengthen the scientific foundations of in-depth interview research.

How does an individual's criminal record shape interactions with the state and society? This article presents evidence from a nationwide field experiment in the United States, which shows that prospective applicants with criminal records are about 5 percentage points less likely to receive information from college admission offices. However, this bias does not extend to race: there is no difference in response rates to Black and White applicants. The authors further show that bias is all but absent in public bureaucracies, as discrimination against formerly incarcerated applicants is driven by private schools. Examining why bias is stronger for private colleges, the study demonstrates that the private–public difference persists even after accounting for college selectivity, socio-economic composition and school finances. Moving beyond the measurement of bias, an intervention designed to reduce discrimination is evaluated: whether an email from an advocate mitigates bias associated with a criminal record. No evidence is found that advocate endorsements decrease bureaucratic bias.

We study the political economy of redistribution over a broad class of decision rules. Since the core is generically non-unique, we suggest a simple and elegant procedure to select a robust equilibrium. Our selected policy depends on the full income profile, and in particular, on the preferences of two decisive voters. The effect of increasing inequality on redistribution depends on the decision rule and the shape of the income distribution; redistribution will increase if both decisive voters are 'relatively poor', and decrease if at least one is sufficiently 'rich'. Additionally, redistribution decreases as the polity adopts increasingly stringent super-majority rules.

Does intensifying immigrationenforcement lead to under-reporting of crime among undocumented immigrants and their communities? We empirically test the claims of activists and legal advocates that the escalation of US Immigration and Customs Enforcement (ICE) activities in 2017 negatively impacted the willingness of undocumented immigrants and Hispanic communities to report crime. We hypothesize that ICE cooperation with local law enforcement, in particular, discourages undocumented immigrants and their Hispanic community members from reporting crime. Using a difference-in-difference approach and FBI Uniform Crime Reporting (UCR) data at the county level, we find that total reported crime fell from 2016 to 2017 in counties with higher shares of Hispanic individuals and in counties where local law enforcement had more cooperation with ICE. Using the National Crime Victimization Survey (NCVS), we show that these declines in the measured crime rate are driven by decreased crime reporting by Hispanic communities rather than by decreased crime commission or victimization. Finally, we replicate these results in a second case study by leveraging the staggered roll-out of the 2008–2014 Secure Communities program across US counties. Taken together, our findings add to a growing body of literature demonstrating how immigration enforcement reduces vulnerable populations’ access to state services, including the criminal justice system.

This paper joins a growing body of research linking measures of the physical environment to population well-being, with a focus on neighborhood toxins. Extending a national database on the social mobility of American children growing up in over 70,000 Census tracts, we explore the association between childhood exposure to two forms of pollutants and three socioeconomic outcomes for African Americans, whites, and Latinos. We find that children who grew up in Census tracts with higher levels of traffic-related air pollution and housing-derived lead risk experienced lower adult incomes on average relative to their parents and higher likelihoods of being incarcerated as an adult or having children as teenagers, after controlling for standard socio-demographic characteristics and metropolitan-level effects. The spatial distribution of these two pollutants is surprisingly different, however, with air pollution varying mostly between regions of the country while lead risk varies dramatically between neighborhoods within the same city. Yet, each pollutant predicts the three aspects of social mobility similarly, and we show important disparities in exposure by race. Differential exposure to environmental toxins in childhood may be a contributor to racial inequality in socioeconomic outcomes among adults.

Urban researchers have long debated the extent to which metropolitan employment is monocentric, polycentric, or diffuse. In this paper I use high-resolution data based on unemployment insurance records to show that employment in US metropolitan areas is not centralized but is spatially concentrated. Unlike residents, who form a continuous surface covering most parts of each metropolitan area, jobs have a bimodal spatial distribution, with most blocks containing no jobs whatsoever and a small number having extremely high employment densities. Across the 100 largest Metropolitan Statistical Areas, about 75% of jobs are located on the 6.5% of built land in Census blocks with at least twice as many jobs as people. These relative proportions are extremely consistent across cities, even though they vary greatly in the physical density at which they are constructed. Motivated by these empirical regularities, I introduce an algorithm to identify contiguous business districts and classify them into four major types. Based solely on the relative densities of employment and population, this algorithm is both simpler to implement and more flexible than current approaches, requiring no metro-specific tuning parameters and no assumptions about urban spatial layout.

Objectives. To examine how physical health symptoms developed and resolved in response to Hurricane Katrina.

Methods. We used data from a 2003 to 2018 study of young, low-income mothers who were living in New Orleans, Louisiana, when Hurricane Katrina struck in 2005 (n = 276). We fit logistic regressions to model the odds of first reporting or “developing” headaches or migraines, back problems, and digestive problems, and of experiencing remission or “recovery” from previously reported symptoms, across surveys.

Results. The prevalence of each symptom increased after Hurricane Katrina, but the odds of developing symptoms shortly before versus after the storm were comparable. The number of traumatic experiences endured during Hurricane Katrina increased the odds of developing back and digestive problems just after the hurricane. Headaches or migraines and back problems that developed shortly after Hurricane Katrina were more likely to resolve than those that developed just before the storm.

Conclusions. While traumatic experiences endured in disasters such as Hurricane Katrina appear to prompt the development of new physical symptoms, disaster-induced symptoms may be less likely to persist or become chronic than those emerging for other reasons.

Meredith Dost, Ryan Enos, and Jennifer Hochschild look at the crucial segment of American voters who have changed their views about Donald Trump since the 2016 presidential election. Using two original surveys, they find that attitudes on race and immigration, populism and authoritarianism, and the nation’s and their own economic well-being are all associated with loyalty to and switching from this divisive president.

Segregation across social groups is an enduring feature of nearly all human societies and is associated with numerous social maladies. In many countries, reports of growing geographic political polarization raise concerns about the stability of democratic governance. Here, using advances in spatial data computation, we measure individual partisan segregation by calculating the local residential segregation of every registered voter in the United States, creating a spatially weighted measure for more than 180 million individuals. With these data, we present evidence of extensive partisan segregation in the country. A large proportion of voters live with virtually no exposure to voters from the other party in their residential environment. Such high levels of partisan isolation can be found across a range of places and densities and are distinct from racial and ethnic segregation. Moreover, Democrats and Republicans living in the same city, or even the same neighbourhood, are segregated by party.

Each year, U.S. child protection authorities investigate millions of families, disproportionately poor families and families of color. These investigations involve multiple home visits to collect information across numerous personal domains. How does the state gain such widespread entrée into the intimate, domestic lives of marginalized families? Predominant theories of surveillance offer little insight into this process and its implications. Analyzing observations of child maltreatment investigations in Connecticut and interviews with professionals reporting maltreatment, state investigators, and investigated mothers, this article argues that coupling assistance with coercive authority—a hallmark of contemporary poverty governance—generates an expansive surveillance of U.S. families by attracting referrals from adjacent systems. Educational, medical, and other professionals invite investigations of families far beyond those ultimately deemed maltreating, with the hope that child protection authorities’ dual therapeutic and coercive capacities can rehabilitate families, especially marginalized families. Yet even when investigations close, this arrangement, in which service systems channel families to an entity with coercive power, fosters apprehension among families and thwarts their institutional engagement. These findings demonstrate how, in an era of welfare retrenchment, rehabilitative poverty governance renders marginalized populations hyper-visible to the state in ways that may reinforce inequality and marginality.

Climate change exacerbates the severity of natural disasters, which disproportionately affect vulnerable populations. Mitigating disasters’ health consequences is critical to promoting health equity, but few studies have isolated the short- and long-term effects of disasters on vulnerable groups. We filled this gap by conducting a fifteen-year (2003–2018) prospective study of low-income, predominantly Black parents who experienced Hurricane Katrina: the Resilience in Survivors of Katrina (RISK) Project. Here we describe this project and synthesize lessons from work that has resulted from it. Our findings can guide policy makers, service providers, and health officials in disaster planning and response. We synthesize them into an organizational schema of five priorities: Primary efforts should be aimed at preventing exposure to trauma through investments in climate resilience and by eliminating impediments to evacuation, health care policies should promote uninterrupted and expanded access to care, social services should integrate and strive to reduce the administrative burden on survivors, programs should aid survivors in forging or strengthening connections to their communities, and policy makers should fund targeted long-term services for highly affected survivors.

Beyond their immediate effects on mortality, disasters have widespread, indirect impacts on mental and physical well-being by exposing survivors to stress and potential trauma. Identifying the disaster-related stressors that predict health adversity will help officials prepare for the coronavirus disease 2019 (COVID-19) pandemic. Using data from a prospective study of young, low-income mothers who survived Hurricane Katrina, we find that bereavement, fearing for loved ones’ well-being, and lacking access to medical care and medications predict adverse mental and physical health 1 y postdisaster, and some effects persist 12 y later. Adjusting for preexisting health and socioeconomic conditions attenuates, but does not eliminate, these associations. The findings, while drawn from a demographically unique sample, suggest that, to mitigate the indirect effects of COVID-19, lapses in medical care and medication use must be minimized, and public health resources should be directed to those with preexisting medical conditions, their social networks, and the bereaved.