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Congestion is a persistent and expensive problem, costing the nation collectively over $300 billion each year. Cities have generally attempted to address congestion using an unoriginal set of expensive strategies, like building new roads or expanding public transit, and many cities are considering implementing congestion pricing. Expanding school bus service may be a palatable solution because it provides a service instead of involving lengthy and costly construction or charging a new fee. School travel is also a sizeable portion of total daily tra c. Indeed, over 50 million children travel to and from school each day and their commutes account for about one-quarter of total daily commuter trips. School travel and school-provided transportation is generally the domain of school districts and not city governments and the school districts in most large cities are independent from city governments. This may lead to a coordination problem if school districts ignore congestion caused, or exacerbated by, school travel. To determine whether pupil transportation reduces congestion, I exploit the interaction of pupil transportation provision (variation in pupil transportation spending and school bus use within districts) and idiosyncratic, within-city and within-month variation in the percentage of weekdays that are instructional school days in a month. I build a rich, monthly, longitudinal data set for congestion, school days, and transportation policy for 51 cities from 2013 to 2019 and find congestion is significantly higher on school days and pupil transportation alleviates congestion caused by school children’s travel. A back-of-the-envelope calculation suggests cities should subsidize the additional spending needed by the school district to transport more students and lower congestion.
With a goal of contextualizing teacher job dissatisfaction during the first full school year of the COVID-19 pandemic, we contrast teachers’ experiences to the decade and a half leading up to the pandemic. We draw on nationally representative data from the Schools and Staffing Survey and National Teacher and Principal Survey from the 2003-04 to 2020-21 school years. Through descriptive and regression analysis, we show that (1) teacher dissatisfaction has gradually been increasing over time, but did not decrease sharply in the 2020-21 school year, (2) levels of dissatisfaction during the pandemic were not equal across subpopulations of teachers or over time, and (3) positive working conditions consistently predicted lower job dissatisfaction, including in the 2020-21 school year.
Teacher rating scales (TRS) are often used to make service eligibility decisions for exceptional learners. Although TRS are regularly used to identify student exceptionalism either as part of an informal nomination process or through behavioral rating scales, there is little research documenting the between-teacher variance in teacher ratings or the consequences of such rater dependence. To evaluate the possible benefits or disadvantages of using TRS as part of a gifted identification process, we examined the student-, teacher-, and school-level variance in TRS controlling for student ability and achievement to determine the unique information, consistency, and potential bias in TRS. Between 10% and 25% of a students’ TRS score can be attributed to the teacher doing the rating, and between-teacher standard deviations represent an effect size of one-third to one-half standard deviation unit. Our results suggest that TRS are not easily comparable across teachers, making it impossible to set a cut score for admission into a program (or for further screening) that functions equitably across teachers.
We document trends in racial-ethnic and gender diversity among faculty at selective public universities in the U.S. since the turn of the 21st century, overall and separately in science, technology, engineering, and mathematics (STEM) fields. Racial-ethnic and gender diversity have broadly increased during the 21st century, and racial-ethnic diversity has increased at an accelerated rate since racial protests swept across college campuses during the 2015-16 academic year. When we analyze STEM and non-STEM fields separately, we find the share of female faculty is increasing faster in STEM fields, which is decreasing the cross-field gender diversity gap. In contrast, the share of Black faculty in STEM fields is increasing at a much lower rate than in non-STEM fields, exacerbating the cross-field gap in the Black faculty share. A similar pattern is present among Hispanic assistant professors.
Research shows that teachers seek out jobs close to home, but previous studies have been unable to test whether proximity to home is related to retention in the teaching profession. We leverage a unique dataset from Teach For America (TFA) linking individuals’ preferred teaching locations, actual teaching locations, and years in teaching for 7 years after entering the profession. By controlling for a detailed set of background, preference, and teaching assignment variables through a matched fixed effects design, we find that individuals who were assigned to a TFA region in their home state taught, on average, for .15 years longer than those who were not assigned to teach in their home state. This effect is strongest for teachers of color and those from a low-income background. Being assigned to teach in one’s home state is associated with .36 more years in teaching for those from low-income backgrounds and .47 more years in teaching for teachers of color. Both sub-groups are approximately 8 percentage points more likely to stay in teaching for 7 or more years if assigned to their home state. Overall, this study provides evidence of a positive home state effect on teacher retention. Our results lend support for policies and programs that recruit from or nudge teachers toward teaching in their home states, particularly through alternative certification pathways, and as a means to increase teacher diversity.
Few interventions reduce inequality in reading achievement, let alone higher order thinking skills, among adolescents. We study “policy debate”—an extracurricular activity focused on improving middle and high schoolers’ critical thinking, argumentation, and policy analysis skills—in Boston schools serving large concentrations of economically-disadvantaged students of color. Student fixed effects estimates show debate had positive impacts on ELA test scores of 0.13 SD, equivalent to 68% of a full year of average 9th grade learning. Gains were concentrated on analytical more than rote subskills. We find no harm to math, attendance, or disciplinary records, and evidence of positive effects on high school graduation and postsecondary enrollment. Impacts were largest among students who were lowest achieving prior to joining debate.
Two-way dual language immersion programs (TWDL) aim to integrate English speakers and speakers of a partner language in the same classroom to receive content instruction in both languages. Stated goals include bilingualism and biliteracy, high academic achievement, and sociocultural competence. In school districts aiming to reduce segregation, TWDL programs can also integrate students from diverse linguistic, racial, and economic backgrounds, though mounting evidence shows equitable integration does not always happen. Using school-level enrollments and district data on TWDL program growth from 2000 to 2021, this paper describes enrollment and segregation patterns across Los Angeles Unified School District (LAUSD) elementary schools with TWDL. We find elementary schools with TWDL programs are enrolling increasing numbers of racially, linguistically, and economically marginalized students, but the increasingly uneven sorting of students among TWDL schools demonstrates limits on the potential for intergroup contact.
Frames shape public opinion on policy issues, with implications for policy adoption and agenda-setting. What impact do common issue frames for racial equity in education have on voters’ support for racially equitable education policy? Across survey experiments with two independent representative polls of California voters, framing effects were moderated by voters’ prior policy preferences. Among respondents concerned with tax policy, a frame emphasizing the economic benefits of equity elicited higher priority for racial equity in education. Among respondents concerned with social justice, an “equal opportunity” frame elicited higher priority ratings. However, exploratory analyses showed frames only mattered when respondents held mixed policy preferences. Among respondents who (a) valued both tax policy and social justice issues, or who (b) valued neither, both frames were equally impactful.
Amid heightened concerns of teacher shortages, we document the role of principals in shaping teachers’ labor market decisions. Using teacher transfer applications from a large urban school district, we find that teachers are most likely to seek transfer away from schools with less-experienced principals and weaker leadership. The qualities of principals that attract applicants are survey reports of strong leadership, applicant-principal demographic congruence, and especially having worked with the principal previously. Ultimately, schools with high rates of teacher transfer seeking and exit receive few applications per teacher vacancy. These schools are likely to have shallow applicant pools and may need district support with recruitment in the short term, with the longer-term goal of developing leaders who retain teachers.