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Contradictory evidence of the relationship between education funding and student achievement could reflect heterogeneous effects by revenue source or student characteristics. This study examines potential heterogeneous effects of a particular type of local revenue – bond funds for capital investments – on achievement by socioeconomic status. Comparing California school districts within a narrow window on either side of the cutoff of voter support required to pass a general obligation bond measure, this study uses dynamic regression discontinuity models to estimate effects of passing a bond on academic achievement among low- and high-SES students. Results consistently suggest that passing a bond measure increases achievement among low- but not high-SES students. However, these benefits for low-SES students are delayed and emerge 6 years after an election.
We examine the long-run impacts of having a same-race teacher. First, we leverage data from the Tennessee STAR class-size experiment to show that black students randomly assigned to a black teacher in grades K-3 are 5 percentage points (7%) more likely to graduate from high school and 4 percentage points (13%) more likely to enroll in college than their same-school, same-race peers not assigned to a black teacher. Second, we replicate these results in North Carolina using quasi-experimental methods. Finally, we formally define "role model effects" as information provision, which facilitates an exploration of possible mechanisms that drive these results.
Can schools that boost student outcomes reproduce their success at new campuses? We study a policy reform that allowed effective charter schools in Boston, Massachusetts to replicate their school models at new locations. Estimates based on randomized admission lotteries show that replication charter schools generate large achievement gains on par with those produced by their parent campuses. The average effectiveness of Boston’s charter middle school sector increased after the reform despite a doubling of charter market share. An exploration of mechanisms shows that Boston charter schools reduce the returns to teacher experience and compress the distribution of teacher effectiveness, suggesting the highly standardized practices in place at charter schools may facilitate replicability.
We demonstrate that heat inhibits learning and that school air-conditioning may mitigate this effect. Student fixed effects models using 10 million PSAT-retakers show hotter school days in years before the test reduce scores, with extreme heat being particularly damaging. Weekend and summer temperature has little impact, suggesting heat directly disrupts learning time. New nationwide, school-level measures of air-conditioning penetration suggest patterns consistent with such infrastructure largely offsetting heat’s effects. Without air-conditioning, a 1°F hotter school year reduces that year’s learning by one percent. Hot school days disproportionately impact minority students, accounting for roughly five percent of the racial achievement gap.
Free and reduced-price meal (FRM) data are used ubiquitously to proxy for student disadvantage in education research and policy applications. The Community Eligibility Provision (CEP)—a recently-implemented policy change to the federally-administered National School Lunch Program—allows schools serving low-income populations to identify all students as FRM-eligible regardless of individual circumstances. We study the CEP’s effect on FRM eligibility as a proxy for student disadvantage, and relatedly, we examine the viability of direct certification (DC) status as an alternative disadvantage measure. Our findings on whether the CEP degrades the informational content of FRM data are mixed. At the individual level there is essentially no effect, but the CEP does meaningfully change the information conveyed by the FRM-eligible share of students in a school. Our comparison of FRM and DC data in the post-CEP era shows that these measures are similarly informative as proxies for disadvantage, despite the CEP-induced information loss in FRM data. Using both measures together can improve the identification of disadvantaged students, but only marginally.
Teachers’ impact on student long-run success is only partially explained by their contributions to students’ short-run academic performance. For this study, we explore a second dimension of teacher effectiveness by creating measures of teachers’ contributions to student class-attendance. We find systematic variation in teacher effectiveness at reducing unexcused class absences at the middle and high school level. These differences across teachers are as stable as those for student achievement, but teacher effectiveness on attendance only weakly correlates with their effects on achievement. We link these measures of teacher effectiveness to students’ long-run outcomes. A high value-added to attendance teacher has a stronger impact on students’ likelihood of finishing high school than does a high value-added to achievement teacher. Moreover, high value-added to attendance teachers can motivate students to pursue higher academic goals as measured by Advanced Placement course taking. These positive effects are particularly salient for low-achieving and low-attendance students.
Sixty-seven school finance reforms (SFRs) in 26 states have taken place since 1990; however, there is little empirical evidence on the heterogeneity of SFR effects. We provide a comprehensive description of how individual reforms affected resource allocation to low- and high-income districts within states, including both financial and non-financial outcomes. After summarizing the heterogeneity of individual SFR impacts, we then examine its correlates, identifying both policy and legislative/political factors. Taken together, this research aims to provide a rich description of variation in states’ responses to SFRs, as well as explanation of this heterogeneity as it relates to contextual factors.
We use a natural experiment to evaluate sample selection correction methods' performance. In 2007, Michigan began requiring that all students take a college entrance exam, increasing the exam-taking rate from 64 to 99%. We apply different selection correction methods, using different sets of predictors, to the pre-policy exam score data. We then compare the corrected data to the complete post-policy exam score data as a benchmark. We find that performance is sensitive to the choice of predictors, but not the choice of selection correction method. Using stronger predictors such as lagged test scores yields more accurate results, but simple parametric methods and less restrictive semiparametric methods yield similar results for any set of predictors. We conclude that gains in this setting from less restrictive econometric methods are small relative to gains from richer data. This suggests that empirical researchers using selection correction methods should focus more on the predictive power of covariates than robustness across modeling choices.
School finance reforms caused some of the most dramatic increases in intergovernmental aid from states to local governments in U.S. history. We examine whether teachers’ unions affected the fraction of reform-induced state aid that passed through to local spending and the allocation of these funds. Districts with strong teachers’ unions increased spending nearly dollar-for-dollar with state aid, and spent the funds primarily on teacher compensation. Districts with weak unions used aid primarily for property tax relief, and spent remaining funds on hiring new teachers. The greater expenditure increases in strong union districts led to larger increases in student achievement.