With the expansion of state surveillance and enforcement efforts in recent decades, a growing literature examines how those vulnerable to punitive state contact strategize to evade it. This article draws on in-depth interviews with eighty-three low-income mothers to consider whether and how concerns about Child Protective Services (CPS), a widespread presence in poor communities with the power to remove children from their parents, inform poor mothers’ institutional engagement. Mothers recognized CPS reports as a risk in interactions with healthcare, educational, and social service systems legally mandated to report suspected child abuse or neglect. Departing from findings on responses to policing and immigration enforcement, I find that CPS concerns rarely prompted mothers to avoid systems wholesale. Within their system participation, however, mothers engaged in a selective or constrained visibility, concealing their hardships, home life, and parenting behavior from potential reporters. As reporting systems serve as vital sources of support for disadvantaged families, mothers’ practices of information management, while perhaps protecting them from CPS reports, may preclude opportunities for assistance and reinforce a sense of constraint in families’ institutional interactions.
We use data on intergenerational social mobility by neighborhood to examine how social and physical environments beyond concentrated poverty predict children’s long-term well-being. First, we examine neighborhoods that are harsh on children’s development: those characterized by high levels of violence, incarceration, and lead exposure. Second, we examine potential supportive or offsetting mechanisms that promote children’s development, such as informal social control, cohesion among neighbors, and organizational participation. Census tract mobility estimates from linked income tax and Census records are merged with surveys and administrative records in Chicago. We find that exposure to neighborhood violence, incarceration, and lead combine to independently predict poor black boys’ later incarceration as adults and lower income rank relative to their parents, and poor black girls’ teenage motherhood. Features of neighborhood social organization matter less, but are selectively important. Results for poor whites also show that toxic environments independently predict lower social mobility, as do features of social organization, to a lesser extent. Overall, our measures contribute a 76% relative increase in explained variance for black male incarceration beyond that of concentrated poverty and other standard characteristics, an 18% increase for black male income rank (70% for whites), and a 17% increase for teenage motherhood of black girls (40% for whites).
After more than a century of convergence, the economic fortunes of rich and poor regions of the United States have diverged dramatically over the last 40 years. Roughly a third of the US population now lives in metropolitan areas that are substantially richer or poorer than the nation as a whole, almost three times the proportion that did in 1980. In this paper I use counterfactual simulations based on Census microdata to understand the dynamics of regional divergence. I first show that regional divergence has primarily resulted from the richest people and places pulling away from the rest of the country. I then estimate the relative contributions to regional divergence of two major socioeconomic trends of recent decades: the sorting of people across metro areas by income level and the national rise in income inequality. I show that the national rise in income inequality is sufficient on its own to account for more than half of the observed divergence across regions, while income sorting on its own accounts for less than a quarter. The major driver of regional economic divergence is national-level income dispersion that has exacerbated preexisting spatial inequalities.
We characterize the factors that determine who becomes an inventor in the United States, focusing on the role of inventive ability (“nature”) versus environment (“nurture”). Using deidentified data on 1.2 million inventors from patent records linked to tax records, we first show that children’s chances of becoming inventors vary sharply with characteristics at birth, such as their race, gender, and parents’ socioeconomic class. For example, children from high-income (top 1%) families are 10 times as likely to become inventors as those from below-median income families. These gaps persist even among children with similar math test scores in early childhood—which are highly predictive of innovation rates—suggesting that the gaps may be driven by differences in environment rather than abilities to innovate. We directly establish the importance of environment by showing that exposure to innovation during childhood has significant causal effects on children’s propensities to invent. Children whose families move to a high-innovation area when they are young are more likely to become inventors. These exposure effects are technology class and gender specific. Children who grow up in a neighborhood or family with a high innovation rate in a specific technology class are more likely to patent in exactly the same class. Girls are more likely to invent in a particular class if they grow up in an area with more women (but not men) who invent in that class. These gender- and technology class–specific exposure effects are more likely to be driven by narrow mechanisms, such as role-model or network effects, than factors that only affect general human capital accumulation, such as the quality of schools. Consistent with the importance of exposure effects in career selection, women and disadvantaged youth are as underrepresented among high-impact inventors as they are among inventors as a whole. These findings suggest that there are many “lost Einsteins”—individuals who would have had highly impactful inventions had they been exposed to innovation in childhood—especially among women, minorities, and children from low-income families.
Many countries provide financial incentives to spur innovation, ranging from tax incentives to research and development grants. In this paper, we study how such financial incentives affect individuals’ decisions to pursue careers in innovation. We first present empirical evidence on inventors’ career trajectories and income distributions using deidentified data on 1.2 million inventors from patent records linked to tax records in the United States. We find that the private returns to innovation are extremely skewed—with the top 1% of inventors collecting more than 22% of total inventors’ income—and are highly correlated with their social impact, as measured by citations. Inventors tend to have their most impactful innovations around age 40 and their incomes rise rapidly just before they have high-impact patents. We then build a stylized model of inventor career choice that matches these facts as well as recent evidence that childhood exposure to innovation plays a critical role in determining whether individuals become inventors. The model predicts that financial incentives, such as top income tax reductions, have limited potential to increase aggregate innovation because they only affect individuals who are exposed to innovation and have essentially no impact on the decisions of star inventors, who matter most for aggregate innovation. Importantly, these results hold regardless of whether the private returns to innovation are fully known at the time of career choice or are fully stochastic. In contrast, increasing exposure to innovation (e.g., through mentorship programs) could have substantial impacts on innovation by drawing individuals who produce high-impact inventions into the innovation pipeline. Although we do not present direct evidence supporting these model-based predictions, our results call for a more careful assessment of the impacts of financial incentives and a greater focus on alternative policies to increase the supply of inventors.
Regions of the United States have seen their incomes diverge dramatically over the last four decades. This article makes the empirical and political case for treating regional economic disparities as a national phenomenon best resolved through federal policy, rather than exclusively as a matter of local responsibility. It then considers reinvigorated antitrust enforcement as an example of a federal policy that would strengthen local economies while benefiting from policy feedback effects.
Household labor is commonly defined as a set of physical tasks such as cooking, cleaning, and shopping. Sociologists sometimes reference non-physical activities related to “household management,” but these are typically mentioned in passing, imprecisely defined, or treated as equivalent to physical tasks. Using 70 in-depth interviews with members of 35 couples, this study argues that such tasks are better understood as examples of a unique dimension of housework: cognitive labor. The data demonstrate that cognitive labor entails anticipating needs, identifying options for filling them, making decisions, and monitoring progress. Because such work is taxing but often invisible to both cognitive laborers and their partners, it is a frequent source of conflict for couples. Cognitive labor is also a gendered phenomenon: women in this study do more cognitive labor overall and more of the anticipation and monitoring work in particular. However, male and female participation in decision-making, arguably the cognitive labor component most closely linked to power and influence, is roughly equal. These findings identify and define an overlooked—yet potentially consequential—source of gender inequality at the household level and suggest a new direction for research on the division of household labor.
Although the reservation wage plays a central role in job search models, empirical evidence on the determinants of reservation wages, including key policy variables such as unemployment insurance (UI), is scarce. In France, unemployed people must declare their reservation wage to the Public Employment Service when they register to claim UI benefits. We take advantage of these rich French administrative data and of a reform of UI rules to estimate the effect of the Potential Benefit Duration (PBD) on reservation wages and on other dimensions of job selectivity, using a difference-in-difference strategy. We cannot reject that the elasticity of the reservation wage with respect to PBD is zero. Our results are precise and we can rule out elasticities larger than 0.006. Furthermore, we do not find any significant effects of PBD on the desired number of hours, duration of labor contract and commuting time/distance. The estimated elasticity of actual benefit duration with respect to PBD of 0.3 is in line with the consensus in the literature. Exploiting a Regression Discontinuity Design as an alternative identification strategy, we find similar results.
In this article, we review evidence from the social and medical sciences on the causes and effects of lead exposure. We argue that lead exposure is an important subject for sociological analysis because it is socially stratified and has important social consequences—consequences that themselves depend in part on children's social environments. We present a model of environmental inequality over the life course to guide an agenda for future research. We conclude with a call for deeper exchange between urban sociology, environmental sociology, and public health, and for more collaboration between scholars and local communities in the pursuit of independent science for the common good.
Using administrative data, this paper evaluates the early impact of introducing a performance-based component into Jakarta's long-standing school grant program on learning outcomes. The authors use difference-in-differences and regression discontinuity approaches to identify the component's impact on both government primary and junior secondary schools. Learning outcomes improved in primary schools at the bottom of the performance distribution, which narrowed the performance gaps between schools. However, the component had a negative impact on the better performing primary schools. Overall, primary examination scores fell slightly but this effect was only temporary. In contrast, the performance-based component improved examination scores in junior secondary schools. This impact seems to have been greatest among better-performing schools, thus widening the performance gap between these schools and those whose performance was worse. The data suggest that the main impact of the performance-based grant in terms of learning outcomes operated through an increase in competition among schools to earn the performance-based grant rather than through receipt of the actual grant funds.
The expansion of U.S. immigration enforcement from the borders into the interior of the country and the fivefold increase in immigration detentions and deportations since 1995 raise important questions about how the enforcement of immigration law is spatially patterned across American communities. Focusing on the practice of immigration detention, the present study analyzes the records of all 717,160 noncitizens detained by Immigration and Customs Enforcement (ICE) in 2008 and 2009—a period when interior enforcement was at its peak—to estimate states’ detention rates and examine geographic variation in detention outcomes, net of individual characteristics. Findings reveal substantial state heterogeneity in immigration detention rates, which range from approximately 350 detentions per 100,000 noncitizens in Connecticut to more than 6,700 detentions per 100,000 noncitizens in Wyoming. After detainment, individuals’ detention outcomes are geographically stratified, especially for detainees eligible for pretrial release. These disparities indicate the important role that geography plays in shaping individuals’ chances of experiencing immigration detention and deportation.
Disasters can send large numbers of evacuees into new contexts of reception, where attitudes toward them can vary significantly by perceived social distance. To conventional assessment of such distance along racial lines, we add spatial and temporal distance from point of central arrival.
A novel research design combines the natural experiment triggered by Hurricane Katrina with five consecutive Kinder Houston Area Surveys (2006–2010), which gather data on attitudes toward arrived evacuees as well as tract‐level data on residential context.
Regression analyses reveal that spatial and temporal distance act similarly to racial distance in predicting negative attitudes toward evacuees. Results also show these effects are moderated by the racial context of incumbents’ residential neighborhoods.
Social distance exerts a multifaceted influence on evacuee reception in ways that become especially pertinent in the arrival of communities from large‐scale, urban evacuations.
Objective Economic policies can have unintended consequences on population health. In recent years, many states in the USA have passed ‘right to work’ (RTW) laws which weaken labour unions. The effect of these laws on occupational health remains unexplored. This study fills this gap by analysing the effect of RTW on occupational fatalities through its effect on unionisation.
Methods Two-way fixed effects regression models are used to estimate the effect of unionisation on occupational mortality per 100 000 workers, controlling for state policy liberalism and workforce composition over the period 1992–2016. In the final specification, RTW laws are used as an instrument for unionisation to recover causal effects.
Results The Local Average Treatment Effect of a 1% decline in unionisation attributable to RTW is about a 5% increase in the rate of occupational fatalities. In total, RTW laws have led to a 14.2% increase in occupational mortality through decreased unionisation.
Conclusion These findings illustrate and quantify the protective effect of unions on workers’ safety. Policymakers should consider the potentially deleterious effects of anti-union legislation on occupational health.
Protests can engender significant institutional change. Can protests also continue to shape a nation's contemporary politics outside of more formalized channels? I argue that social movements can not only beget institutional change, but also long‐run, attitudinal change. Using the case of the U.S. civil rights movement, I develop a theory in which protests can shift attitudes and these attitudes can persist. Data from over 150,000 survey respondents provide evidence consistent with the theory. Whites from counties that experienced historical civil rights protests are more likely to identify as Democrats and support affirmative action, and less likely to harbor racial resentment against blacks. These individual‐level results are politically meaningful—counties that experienced civil rights protests are associated with greater Democratic Party vote shares even today. This study highlights how social movements can have persistent impacts on a nation's politics.
Combining ethnographic and statistical methods, this study identifies interlocking mechanisms that help explain how disadvantaged neighborhoods influence their residents’ political capacity. Support systems that arise in low-income neighborhoods promote social interaction that helps people make ends meet, but these systems also expose residents to heavy doses of adversity, which dampens perceptions of collective political capacity. For the poorest residents of these neighborhoods in particular, the expected positive effect of informal social support is suppressed by the negative effect of perceived trauma. These findings present a micro-level account of poverty, social interaction, and political capacity, one that holds implications for scholarship and public policy on participatory inequality.
More than 50 years after the Civil Rights Act, black–white family income disparities in the United States remain almost exactly the same as what they were in 1968. This article argues that a key and underappreciated driver of the racial income gap has been the national trend of rising income inequality. From 1968 to 2016, black–white disparities in family income rank narrowed by almost one-third. But this relative gain was negated by changes to the national income distribution that resulted in rapid income growth for the richest—and most disproportionately white—few percentiles of the country combined with income stagnation for the poor and middle class. But for the rise in income inequality, the median black–white family income gap would have decreased by about 30 percent. Conversely, without the partial closing of the rank gap, growing inequality alone would have increased the racial income gap by 30 percent.
The conventional wisdom in the literature on women candidates holds that “when women run, they win as often as men.” This has led to a strong focus in the literature on the barriers to entry for women candidates and significant evidence that these barriers hinder representation. Yet, a growing body of research suggests that some disadvantages persist for Republican women even after they choose to run for office. In this paper, I investigate the aggregate consequences of these disadvantages for general election outcomes. Using a regression discontinuity design, I show that Republican women who win close House primaries lose at higher rates in the general election than Republican men. This nomination effect holds throughout the 1990s despite a surge in Republican voting starting in 1994. I find no such effect for Democratic women and provide evidence that a gap in elite support explains part of the cross-party difference.
This article advances the concept of racialized legal status (RLS) as an overlooked dimension of social stratification with implications for racial/ethnic health disparities. We define RLS as a social position based on an ostensibly race-neutral legal classification that becomes colored through its disparate impact on racial/ethnic minorities. To illustrate the implications of RLS for health and health disparities in the United States, we spotlight existing research on two cases: criminal status and immigration status. We offer a conceptual framework that outlines how RLS shapes disparities through (1) direct effects on those who hold a legal status and (2) spillover effects on racial/ethnic in-group members, regardless of these individuals' own legal status. Direct effects of RLS operate by marking an individual for material and symbolic exclusion. Spillover effects result from the vicarious experiences of those with social proximity to marked individuals, as well as the discredited meanings that RLS constructs around racial/ethnic group members. We conclude by suggesting multiple avenues for future research that considers RLS as a mechanism of social inequality with fundamental effects on health.
Research on jury deliberations has largely focused on the implications of deliberations for criminal defendants' outcomes. In contrast, this article considers jurors' outcomes by integrating subjective experience into the study of deliberations. We examine whether jurors' feelings that they had enough time to express themselves vary by jurors' gender, race, or education. Drawing on status characteristics theory and a survey of more than 3,000 real-world jurors, we find that the majority of jurors feel that they had enough time to express themselves. However, blacks and Hispanics, and especially blacks and Hispanics with less education, are less likely to feel so. Jurors' verdict preferences do not account for these findings. Our findings have implications for status characteristics theory and for legal cynicism among members of lower-status social groups.