Although research indicates that individual students benefit when they enroll in early algebra classes, evaluations of broad-based algebra acceleration often report negative effects. Using a regression discontinuity design, we replicate the positive effects of eighth-grade algebra placement on student achievement found in prior studies. We then…

There is no final consensus regarding which covariates should be used (in addition to prior achievement) when estimating value-added (VA) scores to evaluate a school's effectiveness. Therefore, we examined the sensitivity of evaluations of schools' effectiveness in math and language achievement to covariate selection in the applied VA model. Four…

Although existing research suggests that students benefit on a range of outcomes when they enroll in early algebra classes, policy efforts that accelerate algebra enrollment for large numbers of students often have negative effects. Explanations for this apparent contradiction often emphasize the potential role of teacher and peer effects, which…

This paper uses rich administrative data from Chile to estimate teacher value added (TVA) on test scores and on an educational attainment index. We allow each teacher to have a different TVA for male and female students and show that differences in TVA explain an important part of the gender gaps we observe in test scores and postsecondary…

Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…

We examine the relationship between absenteeism and achievement since the onset of COVID-19. Applying first-differences models to North Carolina administrative data, we estimate that each absence was associated with a 0.0032 standard deviation (SD) decline in math achievement in 2022-23. As students averaged 3.3 more absences in 2022-23 than…

The purpose of this study was to understand how a school-based personalized learning approach can help improve literacy achievement among middle grades students in a rural area. This study followed two cohorts of schools serving students in grades 6-8 in northeast Tennessee for one year each (2018-19 and 2021-22), to assess student and school…

Because the pandemic exacerbated chronic absenteeism in many parts of the country, the need to understand how schools can improve student attendance has never been greater. Accordingly, this study breaks new ground by examining high schools' contributions to attendance after accounting for individual students' prior absenteeism and other…

Recognizing the limitations of the existing frameworks and models applied to estimate the learning loss caused by COVID-19 across the world by different studies, and the urgent need for estimating such loss at the different education levels, this paper, employs the Education Value Chain Analysis ( EVCA) approach as a new paradigm, attempts to…

Using administrative data from D.C. Public Schools, I use exogenous variation in the presence and intensity of teacher monitoring to show it significantly improves student test scores and reduces suspensions. Uniquely, my setting allows me to separately identify the effect of pre-evaluation monitoring from post-evaluation feedback. Monitoring's…