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While investing in the teacher workforce is central to improving schools, school resources are notoriously limited, forcing school leaders to make difficult decisions on how to prioritize funds. This paper examines a critical input to resource allocation decisions: teacher preferences. Using an original, online discrete choice survey experiment with a national sample of 1,030 U.S. teachers, we estimate how much teachers value different features of a hypothetical teaching job. The findings show that (a) teachers value access to special education specialists, counselors, and nurses more than a 10% salary increase or 3-student reduction in class size, (b) investments in school counselors and nurses are strikingly cost-effective, as the value teachers alone place on each of these support roles far exceeds the per teacher cost of funding these positions, and (c) teachers who are also parents treat a 10% salary increase and a child care subsidy of similar value as near perfect substitutes. These novel estimates of teachers’ willingness to pay for student-based support professionals challenge the idea that inadequate compensation lies at the root of teacher workforce challenges and illustrate that reforms that exclusively focus on salary as a lever for influencing teacher mobility (e.g. transfer incentives) may be poorly aligned to teachers’ preferences.
We study whether reallocating existing teachers across schools within a district can increase student achievement, and what policies would help achieve these gains. Using a model of multi-dimensional value-added, we find meaningful achievement gains from reallocating teachers within a district. Using an estimated equilibrium model of the teacher labor market, we find that achieving most of these gains requires directly affecting teachers' preferences over schools. In contrast, directly affecting principals' selection of teachers can lower student achievement. Our analysis highlights the importance of equilibrium and second-best reasoning in analyzing teacher labor market policies.
We study a California policy that loosened constraints on some local governments by lowering the share of votes required to pass school capital improvement bond referendums. We show that the policy change yielded larger tax proposals that received less support from voters, yet led to a doubling of approved spending. We show that this effect is concentrated in more racially diverse jurisdictions and that loosening these electoral constraints completely closed the gap in funding between these areas. We develop an agenda-setter model of the interaction between local government officials and voters to illustrate potential mechanisms behind these results.
We study the combined effects of charter schools, and their various mechanisms, on a national level and across multiple outcomes. Using difference-in-differences and fixed effects methods, we find that charter entry (above 10 percent market share) increases high school graduation rate in geographic districts by about 2-4 percentage points and increases test scores by 0.06-0.16 standard deviations. Charter effects peak with 5-15 percent charter market share. Also, total effects are comprised not only of participant and competitive effects, but also the charter-induced closure of low-performing traditional public schools. The analysis addresses potential endogeneity of charter school location and timing.
As the transition point between middle school and high school, ninth grade can either set a student up for long-term success or diminish a student’s likelihood of graduating high school altogether. Interventions that can help educators better meet the needs of students during this critical juncture represent powerful levers for driving school improvement. The Ninth Grade Success Initiative is a dropout prevention program, piloted in five Washington State high schools in 2019-20. We use multiple methods to evaluate effects on student outcomes and implementation processes. We find that the program led to improvements in course grades and, to a lesser degree, behavioral outcomes, with little change in student attendance. Data coaches perceived that this program led to more effective targeting of services to higher-need students and better preparation for the COVID-19 transition to virtual learning.
The COVID-19 pandemic led to an abrupt shift from in-person to virtual instruction in Spring 2020. We use two complementary difference-in differences frameworks, one that leverages within-instructor-by-course variation on whether students started their Spring 2020 courses in person or online and another that incorporates student fixed effects. We estimate the impact of this shift on the academic performance of Virginia’s community college students. With both approaches, we find modest negative impacts (three to six percent) on course completion. Our results suggest that faculty experience teaching a given course online does not mitigate the negative effects. In an exploratory analysis, we find minimal long-term impacts of the switch to online instruction.
This paper reports the results of a large, school-level randomized controlled trial evaluating a set of three informational interventions for young people choosing high schools in 473 middle schools, serving over 115,000 8th graders. The interventions differed in their level of customization to the student and their mode of delivery (paper or online); all treated schools received identical materials to scaffold the decision-making process. Every intervention reduced likelihood of application to and enrollment in schools with graduation rates below the city median (75 percent). An important channel is their effect on reducing nonoptimal first choice application strategies. Providing a simplified, middle-school specific list of relatively high graduation rate schools had the largest impacts, causing students to enroll in high schools with 1.5-percentage point higher graduation rates. Providing the same information online, however, did not alter students’ choices or enrollment. This appears to be due to low utilization. Online interventions with individual customization, including a recommendation tool and search engine, induced students to enroll in high schools with 1-percentage point higher graduation rates, but with more variance in impact. Together, these results show that successful informational interventions must generate engagement with the material, and this is possible through multiple channels.
The COVID-19 pandemic has been a seismic and on-going disruption to K-12 schooling. Using test scores from 5.4 million U.S. students in grades 3-8, we tracked changes in math and reading achievement across the first two years of the pandemic. Average fall 2021 math test scores in grades 3-8 were .20-27 standard deviations (SDs) lower relative to same-grade peers in fall 2019, while reading test scores decreased by .09-.18 SDs. Achievement gaps between students in low-poverty and high-poverty elementary schools grew by .10-.20 SDs, primarily during the 2020-21 school year. Observed declines are more substantial than during other recent school disruptions, such as those due to natural disasters.
Dual-enrollment courses are theorized to promote students' preparedness for college in part by bolstering their beneficial beliefs, such as academic self-efficacy, educational expectations, and sense of college belonging. These beliefs may also shape students' experiences and outcomes in dual-enrollment courses, yet few if any studies have examined this possibility. We study a large dual-enrollment program created by a university in the Southwest to examine these patterns. We find that mathematics self-efficacy and educational expectations predict performance in dual-enrollment courses, even when controlling for students' academic preparedness, while factors such as high school belonging, college belonging, and self-efficacy in other academic domains are unrelated to academic performance. However, we also find that students of color and first-generation students tend to have lower self-efficacy and educational expectations before enrolling in dual-enrollment courses, in addition to having lower levels of academic preparation. These findings suggest that students from historically marginalized populations may benefit from social-psychological as well as academic supports in order to receive maximum benefits from early postsecondary opportunities such as dual-enrollment. Our findings have implications for how states and dual-enrollment programs determine eligibility for dual-enrollment as well as how dual-enrollment programs should be designed and delivered in order to promote equity in college preparedness.
Despite the prevalence of school tracking, evidence on whether it improves student success is mixed. This paper studies how tracking within high school impacts high-achieving students’ short- and longer-term academic outcomes. Our setting is a large and selective Chinese high school, where first-year students are separated into high-achieving and regular classrooms based on their performance on a standardized exam. Classrooms differ in terms of peer ability, teacher quality, class size, as well as level and pace of instruction. Using newly collected administrative data and a regression discontinuity design, we show that high-achieving classrooms improve math test scores by 23 percent of a standard deviation, with effects persisting throughout the three years of high school. Effects on performance in Chinese and English language subjects are more muted. Importantly, we find that high-achieving classrooms substantially raise enrollment in elite universities, as they increase scores on the national college entrance exam—the sole determinant of university admission in China.