We examine the characteristics of schools preferred by parents in New Orleans, Louisiana, where a “portfolio” of school choices is available. This tests the conditions under which school choice induces healthy competition between public and private schools through the threat of student exit. Using unique data from parent applications to as many as eight different schools (including traditional public, charter, and private schools), we find that many parents include a mix of public and private schools among their preferences, often ranking public schools alongside or even above private schools on a unified application. Parents who list both public and private schools show a preference for the private sector, all else equal, and are willing to accept lower school performance scores for private schools than otherwise equivalent public options. These parents reveal a stronger preference for academic outcomes than other parents and place less value on other school characteristics such as sports, arts, or extended hours. Public schools are more likely to be ranked with private schools and to be ranked higher as their academic performance scores increase.

School choice researchers are often limited to comparing one type of choice with another (e.g., charter schools vs. traditional public schools). One area researchers have not examined is the effects of different school types within the same urban region. We fill this gap by analyzing longitudinal data for students (grades 3–8) in Indianapolis, using student fixed effects models to estimate the impacts of students switching from a traditional public school to a charter, magnet, Catholic, or other private school. We find that students experience no differences in their achievement gains after transferring from a traditional public school to a charter school. However, students switching to magnet schools experience modest annual losses of −0.09 standard deviation (SD) in mathematics and −0.11 SD in English Language Arts. Students switching to Catholic schools also experience annual losses of −0.18 SD in mathematics. These findings are robust to a series of alternative model specifications. Additionally, we find some variability in the mean school type impacts by students’ race/ethnicity, English language learner status, and number of years enrolled in a choice school. We discuss our results in the context of the variability of choice school effects across an entire urban area, something future research needs to examine.

Although the majority of school districts in the United States assign students to schools on the basis of geographic location, there is increasing interest from parents and policy makers in school choice programs. These programs allow parents (and children) to choose their school. In many cases, when students opt to attend a nonlocal school, the parent is responsible for transportation. This creates a trade-off between school quality and travel expenditure. This paper estimates the value of school quality in a random utility model framework, using data on rank-ordered preferences submitted in a school choice program in Garland, Texas. I find that a standard deviation of high school quality is valued between $495 and $783, substantially lower than hedonic estimates that include noneducational benefits associated with good schools. In addition to estimating the average value of school quality, this approach can also be used to estimate the value of school quality for demographic groups or for individual students.

New York City's public specialized high schools have a long history of offering a rigorous, college preparatory education to the city's most academically talented students. Though immensely popular and highly selective, their policy of admitting students using a single entrance exam has raised questions about diversity and equity in access. In this paper, we provide a descriptive analysis of the “pipeline” from middle school to matriculation at a specialized high school, identifying group-level differences in application, admission, and enrollment. In doing so, we highlight potential points of intervention to improve access for underrepresented groups. Controlling for other measures of prior achievement, we find black, Hispanic, low-income, and female students are significantly less likely to qualify for admission to a specialized high school. Differences in application and matriculation rates also affect the diversity in these schools, and we find evidence of middle school “effects” on both application and admission. Simulated policies that offer admissions using alternative measures, such as state test scores and grades, suggest many more girls, Hispanics, and white students would be admitted under these alternatives. They would not, however, appreciably increase the share of offers given to black or low-income students.

Earlier work demonstrates that career and technical education (CTE) can provide long-term financial benefits to participants, yet few have explored potential academic impacts, with none in the era of high-stakes accountability. This paper investigates the causal impact of participating in a specialized high school-based CTE delivery system on high school persistence, completion, earning professional certifications, and standardized test scores, with a focus on individuals from low-income families, a group that is overrepresented in CTE and high school noncompleters. Using administrative data from Massachusetts, I combine ordinary least squares with a regression discontinuity design that capitalizes on admissions data at three schools that are oversubscribed. All estimates suggest that participation in a high-quality CTE program boosts the probability of on-time graduation from high school by 7 to 10 percentage points for higher income students, and suggestively larger effects for their lower-income peers and students on the margin of being admitted to oversubscribed schools. This work informs an understanding of the potential impact of specific CTE program participation on the accumulation of human capital even in a high-stakes policy environment. This evidence of a productive CTE model in Massachusetts may inform the current policy dialog related to improving career pathways and readiness.

Recent evidence on teacher productivity suggests that teachers meaningfully influence non-test academic student outcomes that are commonly overlooked by narrowly focusing on test scores. Despite a large number of studies investigating the Teach For America (TFA) effect on math and English achievement, little is known about non-tested academic outcomes. Using administrative data from Miami-Dade County Public Schools, we investigate the relationship between being in a TFA classroom and five non-test student outcomes commonly found in administrative datasets: days absent, days suspended, GPA, classes failed, and grade repetition. We validate our use of non-test student academic outcomes to assess differences in teacher productivity using the quasi-experimental teacher switching methods of Chetty, Friedman, and Rockoff ( 2014 ) and fail to reject the null hypothesis of unbiasedness in most cases in elementary and middle school, although in some cases standard errors are large. We find suggestive evidence that students taught by TFA teachers in elementary and middle schools were less likely to miss school due to unexcused absences and suspensions compared with students taught by non-TFA teachers in the same school, although point estimates are very small. Other outcomes were found to be forecast-unbiased but showed no evidence of a TFA effect.

This paper measures the effects of collegiate class size on college retention and graduation. Class size is a perennial issue in research on primary and secondary schooling. Few researchers have focused on the causal impacts of collegiate class size, however. Whereas college students have greater choice of classes, selection problems and nonrandom sorting make it difficult to estimate causal impacts. Using unique data and exogenous variation in class size, we estimate the impacts of class size using a sample of nearly 60,000 four-year college students. Using an instrumental variables approach to control for selection bias, the results suggest an increase in collegiate class size leads to an increase in dropout rates and a reduction in on-time degree completion, but no change in long-run degree completion.

We examine the association between young adult postsecondary schooling and parental financial resources using two datasets that contain high-quality data on parental resources: the Panel Study of Income Dynamics (PSID) and the Health and Retirement Study (HRS). We find the association to be pervasive—it exists for income and wealth, it extends far up the income and wealth distributions, it remains even after we control for a host of other characteristics, and it continues beyond simply beginning postsecondary schooling to completing a four-year degree. Using the Transition to Adulthood supplement to the PSID, we also find that financial resources strongly affect postsecondary schooling for all levels of high school achievement, and particularly for those at the highest level.

Though counseling is one commonly pursued intervention to improve college enrollment and completion for disadvantaged students, there is relatively little causal evidence on its efficacy. We use a regression discontinuity design to study the impact of intensive college counseling provided by a Massachusetts program to college-seeking, low-income students that admits applicants partly on the basis of a minimum grade point average requirement. Counseling shifts enrollment toward four-year colleges that are less expensive and have higher graduation rates than alternatives students would otherwise choose. Counseling also improves persistence through at least the second year of college, suggesting a potential to increase the degree completion rates of disadvantaged students.

This paper uses fixed effects analyses to estimate differences in student performance under online versus face-to-face course delivery formats in the California Community College system. On average, students have poorer outcomes in online courses in terms of the likelihood of course completion, course completion with a passing grade, and receiving an A or B. These estimates are robust across estimation techniques, different groups of students, and different types of classes. Accounting for differences in instructor characteristics (including through the use of instructor fixed effects) dampens but does not fully explain the estimated relationships. Online course-taking also has implications for downstream outcomes, although these effects are smaller. Students are more likely to repeat courses taken online, but are less likely to take new courses in the same subject following courses taken online.

We use rich longitudinally matched administrative data on students and teachers in North Carolina to examine the patterns of differential effectiveness by teachers’ years of experience. The paper contributes to the literature by focusing on middle school teachers and by extending the analysis to student outcomes beyond test scores. Once we control statistically for the quality of individual teachers using teacher fixed effects, we find large returns to experience for middle school teachers in the form both of higher test scores and improvements in student behavior, with the clearest behavioral effects emerging for reductions in student absenteeism. Moreover these returns extend well beyond the first few years of teaching. The paper contributes to policy debates by documenting that teachers can and do continue to learn on the job.

Student absences are a potentially important, yet understudied, input in the educational process. Using longitudinal data from a nationally representative survey and rich administrative records from North Carolina, we investigate the relationship between student absences and academic performance. Generally, student absences are associated with modest but statistically significant decreases in academic achievement. The harmful effects of absences are approximately linear, and are two to three times larger among fourth and fifth graders in North Carolina than among kindergarten and first-grade students in the nationally representative Early Childhood Longitudinal Study. In both datasets, absences similarly reduce achievement in urban, rural, and suburban schools. In North Carolina, the harm associated with student absences is greater among both low-income students and English language learners, particularly for reading achievement. Also, in North Carolina, unexcused absences are twice as harmful as excused absences. Policy implications and directions for future research are discussed.

I estimate the effect of extracurricular participation on the high school dropout decision with a particular focus on at-risk students. Using a sample of tenth grade students from the National Education Longitudinal Study of 1988, I jointly estimate the dropout and participation decisions (including extracurricular offerings per student), and eligibility requirements as instruments for extracurricular participation. I include an interaction between the participation and at-risk indicators in the dropout equation because past disadvantages may differentially affect at-risk students. I also estimate alternative specifications to identify the effect of participation in different types of activities. Local average treatment effect estimates range from 14 to 20 percentage points, indicating that participants are significantly less likely to drop out of high school than they would have been if unable to participate, with similar estimates for both at-risk and not-at-risk students. These findings are relevant to policy makers and administrators seeking to increase high school graduation rates and improve educational outcomes.

Students’ different standards may yield different kinds of bias, such as self-directed (higher than their past performance) bias and peer-directed (higher than their classmates) bias. Utilizing data obtained from a natural experiment where some students were able to see their grades prior to teacher evaluations, and to investigate possible sources of bias, we empirically analyzed the role of information (such as the actual grade students received in their current course and their previous grade point average), and the average grade of the course, on the student evaluation of teaching. Because bias is sensitive to the accuracy of grade information, the randomized data examined in this paper are a valuable source for estimating both self-directed and peer-directed bias. We identify the existence of the two kinds of biases and demonstrate that the influence of peer-directed bias tends to increase after the accurate information on the course grade is revealed.

Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers and three teacher outcomes: value added, absences, and attrition. We observe all applicants to the district (not only those who are hired), allowing us to estimate sample selection-corrected models using random tally errors and variation in the level of competition across job postings as instruments. Ratings on the screening instruments significantly predict value added in math and teacher attrition, but not absences—an increase of one standard deviation in screening scores is associated with an increase of about 0.06 standard deviations of student math achievement, and a decrease in teacher attrition of 3 percentage points. Hence the use of selection instruments appears to be a key means of improving the quality of the teacher workforce.

Using a large student-level dataset from a medium-sized regional comprehensive university, we measure the impact of taking an online prerequisite course on follow-up course grades. To control for self-selection into online courses, we utilize student, instructor, course, and time fixed effects augmented with an instrumental variable approach. We find that students’ grades in follow-up courses can be expected to be nearly one twelfth of a grade point lower if the prerequisite course was taken online. These results are robust to self-selection into online courses and into subsequent course enrollment.

Students starting at a two-year college are much less likely to graduate than similar students who start at a four-year college, but the sources of this attainment gap are largely unexplained. This paper investigates the attainment consequences of sector choice and peer quality among recent high school graduates. Using data on all Preliminary SAT (PSAT) test-takers between 2004 and 2006, we develop a novel measure of peer ability for most two-year and four-year colleges in the United States—the average PSAT of enrolled students. We document substantial variation in this measure of peer quality across two-year colleges and nontrivial overlap between the two-year and four-year sectors. We find that half the gap in bachelor's degree attainment rates across sectors is explained by differences in peers, leaving room for structural barriers to transferring between institutions to also play an important role.

This paper examines the savings behavior of public school teachers who are enrolled in a hybrid pension plan that includes a defined contribution (DC) component. Few states have incorporated DC features into teacher pension systems and little is known about how providing teachers with greater control over deferred compensation might affect their savings behavior—an important determinant of retirement security. We find the retirement savings choices of teachers—how much they opt to contribute to a DC retirement account—to be generally consistent with that of their peers in the private sector. In particular, age and salary are positively correlated with contribution rates, and contribution rates increase with teaching experience. Importantly, our analysis of retirement wealth suggests that Washington's hybrid plan is likely to provide a level of retirement security for a typical teacher that is comparable to or greater than that provided by the state's pure defined benefit plan.

This paper examines whether university endowment managers think only in terms of the assets they manage or also take into account background income, that is, the other flows of income to the university. Specifically, we test whether the level and variability of a university's background income (e.g., from tuition and government grants) affect its endowment's allocations to so-called alternative assets, such as hedge funds, private equity, and venture capital. We find that both the probability of investing in alternative assets and the proportion of the portfolio invested in such assets increase with expected background income and decrease with its variability.

We examine the Los Angeles Unified School District's Public School Choice Initiative (PSCI), which sought to turnaround the district's lowest-performing schools. We ask whether school turnaround impacted student outcomes, and what explains variations in outcomes across reform cohorts. We use a Comparative Interrupted Time Series approach using administrative student-level data, following students in the first (1.0), second (2.0), and third (3.0) cohorts of PSCI schools. We find that students in 1.0 turnaround schools saw no significant improvements in outcomes, whereas students enrolled in 2.0 schools saw significant gains in English Language Arts in both years of the reform. Students in 3.0 schools experienced significant decreases in achievement. Qualitative and survey data suggest that increased support and assistance and the use of reconstitution and restart as the sole turnaround methods contributed to gains in 2.0, whereas policy changes in 3.0 caused difficulties and confusion in implementation, leading to poor student performance.