We examine effects of state-level job losses on student achievement. Losses to 1% of the working-age population decrease eighth-grade math scores by .076 standard deviations, with consistently negative but less precise effects on eighth-grade reading and on fourth-grade math and reading. Effects are 34 times larger than found when comparing students with displaced parents to otherwise similar students, suggesting that downturns affect all students, not just those whose parents lose employment. Evidence is inconsistent with a "downward spiral of behavior" or reduced school funding as causal mechanisms; rather, reduced income and increased distress likely inhibit performance. States experiencing displacement of 1% of workers likely see an 8% increase in schools missing No Child Left Behind requirements.

Job destruction knocks many youth off the path to college

In this paper, we seek to understand minority and female underrepresentation in advanced STEM courses in high school by investigating whether school counselors exhibit racial or gender bias during the course assignment process. Using an adapted audit study, we asked a sample of school counselors to evaluate student transcripts that were identical except for the names on the transcripts, which were varied randomly to suggestively represent a chosen race and gender combination. Our results indicate that black female students were less likely to be recommended for AP Calculus and were rated as being the least prepared. Our results have policy implications for any program that asks individuals to make recommendations that may be subject to bias – whether conscious or unconscious.

Wealth and education establish a cycle of intergenerational inequality. Wealthier households can provide more educational opportunities for their children, who then will have more chances to build wealth for themselves. The digital divide may have emerged as a key reinforcing mechanism of education through wealth and of future wealth through education during the pandemic. The intergenerational transmission of racial wealth inequality likely played out at rapid speed during the pandemic. We analyze the link between wealth, reliable internet and electronic device availability, remote learning time, race, and ethnicity, using the U.S. Census Bureau's Household Pulse Survey. We conclude that Black and Hispanic/Latinx households have less reliable internet and devices available. This goes along with fewer hours children spend on remote learning. The lack of internet and devices correlates with less wealth, as reflected in lower homeownership rates and greater housing instability. Black and Hispanic/Latinx households, in particular, are more likely to be renters and face housing instability.

This paper uses national data on eighth grade female students and their English, math and science teachers to examine teacher perceptions of student behavior, such as attentiveness and disruptiveness. Particular attention is paid to differences in perception by student race and socioeconomic status. I find that black female students are perceived as less attentive and more disruptive than their white, Hispanic, and Asian counterparts. Controlling for academic performance and socioeconomic status mitigates the differences in perceptions of attentiveness but not disruptiveness. Further, the perceptions of attentiveness are significantly related to the probability that a teacher recommends a student for honors courses. I discuss the implications of these findings for the educational outcomes of black female students.