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Race, ethnicity and culture
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.
Cognitive abilities are fundamental for decision-making, and understanding the causes of human capital depreciation in old age is especially important in an aging society. Using a longitudinal labor survey that collects direct proxy measures of cognitive skills, we study the effect of educational attainment on cognitive performance in late adulthood in South Africa. We find robust evidence that an increase in a year of schooling improves memory performance and general cognition. We also find evidence of heterogeneous effects of educational attainment on cognitive performance. We explore the mechanisms through which education can affect cognitive performance. 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.
Despite interest in the role of school discipline in the creation of racial inequality, previous research has been unable to identify how students who receive suspensions in school differ from unsuspended classmates on key young adult outcomes. We utilize novel data to document the links between high school discipline and important young adult outcomes related to criminal justice contact, social safety net program participation, post-secondary education, and the labor market. We show that the link between school discipline and young adult outcomes tends to be stronger for Black students than for White students, and that inequality in exposure to school discipline accounts for approximately 30 percent of the Black-White disparities in young adult criminal justice outcomes and SNAP receipt.
Over the last decade, more and more schools have adopted Universal Free Meals (UFM), a program that provides meals free of charge to all students, regardless of household income. Recent research finds UFM increases participation in school meals, improves test scores, and reduces incidences of bad behavior. Additionally, advocates cite stigma reduction as one of UFM’s many benefits, but to date, scholars have yet to provide empirical evidence of this claim. This paper fills the gap in the literature by being the first to examine whether UFM influences student perceptions of school climate. I use individual, student survey responses and school meal participation data from New York City Department of Education (NYCDOE) to investigate whether and to what extent UFM changes participation behavior and student perceptions of their school climate. Using a difference-in-differences design, I exploit students’ staggered exposure to UFM, among those that are ever exposed, to investigate if UFM influences participation and improves student perceptions of bullying, fighting, respect, and safety. I find UFM increases school lunch participation among students that were previously eligible for free meals but rarely participated, suggesting that UFM affects participation patterns beyond simply reducing the price of food. All students, regardless of socioeconomic status, report reductions in perceptions of bullying and fighting within school, as well as improvements in perceptions of safety outside of school. Notably, students ever designated as eligible for free/reduced price meals and those that ate school lunches last year report feeling safer inside the school cafeteria. Thus, not only does UFM improve perceptions associated with stigma for students who directly interact with UFM, but the program also has positive effects for all students regardless of their socioeconomic status.
Federal law defines eligibility for English learner (EL) classification differently for Indigenous students compared to non-Indigenous students. Indigenous students, unlike non-Indigenous students, are not required to have a non-English home or primary language. A critical question, therefore, is how EL classification impacts Indigenous students’ educational outcomes. This study explores this question for Alaska Native students, drawing on data from five Alaska school districts. Using a regression discontinuity design, we find evidence that among students who score near the EL classification threshold in kindergarten, EL classification has a large negative impact on Alaska Native students’ academic outcomes, especially in the 3rd and 4th grades. Negative impacts are not found for non-Alaska Native students in the same districts.
Between 2005 and 2016, international enrollment in US higher education nearly doubled. I examine how trade shocks in education affect public universities' decision-making. I construct a shift-share instrument to exploit institutions' historical networks with different origins of international students, income growth, and exchange-rate fluctuations. Contrary to claims that US-born students are crowded out, I find that international students increase schools' funding via tuition payments, which leads to increased in-state enrollment and lower tuition prices. Schools also keep steady per-student spending and recruit more students with high math scores. Lastly, states allocate more appropriations to universities that attract fewer international students.