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Race, ethnicity and culture
Although Black and Latinx students disproportionately face exclusionary school discipline, prior research finds that the likelihood of suspension for Black students decreases when they are taught by greater proportions of Black teachers. Little prior work, however, has examined whether these effects generalize to large, diverse, urban school districts or to Asian American or Latinx students and teachers. Using student fixed effects models and 10 years of data from New York City, we find that assignment to greater proportions of ethnoracially matched teachers decreases the likelihood of suspension for Black, Latinx, and Asian American students. The magnitudes of these effects are small but suggest that diversifying the teacher workforce could lead to significant decreases in exclusionary discipline in urban districts.
We documented (1) the use of strategies, beyond suspensions and expulsions, that exclude young students from learning opportunities and (2) how teacher-reported use of these strategies varied according to student racial/ethnic composition. In a sample of 2,053 teachers and 40,771 kindergarten students, teachers reported on their use of five exclusionary strategies including isolated seating, removal from an activity, and loss of recess. Teachers reported substantive use of all exclusionary strategies and use varied depending on strategy. Teachers reported using certain exclusionary practices (break outside of classroom, loss of recess or free time, and limit talking) more frequently when they rated more Black versus White students to be lowest on self-regulation and social skills. Findings illustrate the value of looking beyond suspensions and expulsions in the early years to advance equity in young children’s opportunities to engage with teachers, peers, and learning tasks at school.
Despite its increasing importance for educational practices, broadband is not equally accessible among all students. In addition to oft-noted last-mile barriers faced by rural students, there can be wide variation in in-home access between proximate urban and suburban neighborhoods ostensibly covered by the same telecommunications infrastructure. In this paper, we investigate the connection between these disparities and earlier redlining practices by spatially joining two current measures of broadband access with Depression-era residential security maps that graded neighborhoods for real estate investment risk from “Best” to “Hazardous” based in part on racist and classist beliefs. We find evidence that despite internet service providers reporting similar technological availability across neighborhoods, access to broadband in the home generally decreases in tandem with historic neighborhood risk classification. We further find differences in in-home broadband access by race/ethnicity and income level, both across and within neighborhood grades. Our results demonstrate how federally developed housing policies from the prior century remain relevant to the current digital divide and should be considered in discussions of educational policies that require broadband access for success.
State and local education agencies across the country are prioritizing the goal of diversifying the teacher workforce. To further understand the challenges of diversifying the teacher pipeline, I investigate race and gender dynamics between teachers and school-based administrators, who are key decision-makers in hiring, evaluating, and retaining teachers. I use longitudinal data from a large school district in the southeastern United States to examine the effects of race-congruence and gender-congruence between teachers and observers/administrators on teachers’ observation scores. Using models with two-way fixed effects, I find that teachers, on average, experience small positive increases in their scores from sharing race or gender with their observers, raising fairness concerns for teachers whose race or gender identities are not reflected by any of their raters.
Books shape how children learn about society and social norms, in part through the representation of different characters. To better understand the messages children encounter in books, we introduce new artificial intelligence methods for systematically converting images into data. We apply these image tools, along with established text analysis methods, to measure the representation of race, gender, and age in children’s books commonly found in US schools and homes over the last century. We find that more characters with darker skin color appear over time, but "mainstream" award-winning books, which are twice as likely to be checked out from libraries, persistently depict more lighter-skinned characters even after conditioning on perceived race. Across all books, children are depicted with lighter skin than adults. Over time, females are increasingly present but are more represented in images than in text, suggesting greater symbolic inclusion in pictures than substantive inclusion in stories. Relative to their growing share of the US population, Black and Latinx people are underrepresented in the mainstream collection; males, particularly White males, are persistently overrepresented. Our data provide a view into the "black box" of education through children’s books in US schools and homes, highlighting what has changed and what has endured.
Cognition, a component of human capital, is fundamental for decision-making, and understanding the causes of human capital depreciation in old age is especially important in aging societies. Using various proxy measures of cognitive performance from a longitudinal survey in South Africa, we study how education affects cognition in late adulthood. We show that an extra year of schooling improves memory performance and general cognition. We find evidence of heterogeneous effects by gender: the effects are stronger among women. We explore potential mechanisms, and we show that a more supportive social environment, improved health habits, and reduced stress levels likely play a critical role in mediating the beneficial effects of educational attainment on cognition among the elderly.
In this paper I study the impact of court-mandated school desegregation by race on student suspensions and special education classification. Simple descriptive statistics using student enrollment and outcome data collected from the largest school districts across the country in the 1970s and 1980s show that Black-White school integration was increasing for districts under court order, but not for a set of comparison districts. Similarly, Black student suspension rates were increasing at faster rates in integrating districts relative to comparison districts, and their classification rates as having an intellectual disability were decreasing at slower rates. Differences-in-differences and event study models confirm these patterns I observe in the raw data: after integration, school districts experienced statistically and practically significant reductions in racial isolation across schools and growth in racial disparities in discipline and special education classification. The impacts of integration are immediate, sustained, and robust for student suspensions in particular. My results thus provide causal evidence confirming prior descriptive and theoretical work suggesting that the racial composition of schools may influence measures of categorical inequality by race.
Using detailed classroom-level data for North Carolina, we build on previous research to examine racial gaps in access to high-quality teachers. We calculate the exposure of White, Black and Hispanic students to teachers with various characteristics in 4th grade, 7th grade math and English, and 10th grade math and English. We find that across the state White students enjoy sizable advantages over both Black and Hispanic students in the form of higher exposure to teachers with strong credentials and lower exposure to teachers with weak credentials. Remarkably, we also find this pattern of White advantage in most individual counties, with the largest White advantage occurring in the largest counties by enrollment. A decomposition of the White advantages shows that the bulk of them can be attributed to differences across counties and differences between schools within counties. Only in 10th grade are differences across classrooms within schools important in explaining the White advantage.
Due to the COVID-19 Pandemic, the decision to reopen schools for in-person instruction has become a highly salient policy issue. This study examines what overall factors drive public support for schools re-opening in person, and whether members of the public are any more or less willing to comply with school re-opening decisions based on their own preferences and the level of government from which the order comes. Through two rounds of national surveys with an embedded experiment, I find consistent evidence that 1) trust in information from elites - not contact with COVID - best explain preferences for reopening, 2) political ideology and racial and class identification help explain preferences as well, and 3) the President of the United States is best positioned to generate compliance with a school reopening mandate. However, low public trust in the president makes the public significantly less likely to comply. This study suggests that politics - not public health - drives public support for schools reopening and compliance with government orders to reopen.
We use novel data on disciplinary referrals, including those that do not lead to suspensions, to better understand the origins of racial disparities in exclusionary discipline. We find significant differences between Black and white students in both referral rates and the rate at which referrals convert to suspensions. An infraction fixed-effects research design that compares the disciplinary outcomes of white and non-white students who were involved in the same multi-student incident identifies systematic racial biases in sentencing decisions. On both the intensive and extensive margins, minoritized students receive harsher sentences than their white co-conspirators. This result is driven by high school infractions and applies to all infraction types. Reducing racial disparities in exclusionary discipline will require addressing underlying gaps in disciplinary referrals and the systematic biases that appear in the adjudication process.