Follow the User Guide to start building your site.
NEW EdWorkingPapers
Leveraging Modern Machine Learning to Improve Early Warning Systems and Reduce Chronic Absenteeism in Early Childhood
Chronic absenteeism is a critical issue that has been linked to many adverse student outcomes. The current study focuses on improving a key system already in place in many school districts—early warning systems (EWSs)—in order to decrease chronic absenteeism in students’ earliest schooling years.
Did Mathematics Achievement Gaps for Students with Disabilities Widen after the Introduction of the Common Core and its Aligned Assessments?
This study addresses the important yet underexplored question of whether the Common Core State Standards in Mathematics, which emphasize critical thinking and problem-solving, as well as the computer-based assessments aligned with the Common Core, have facilitated or hindered learning for students with disabilities. By analyzing administrative data from a large county in California, we track… more →
Teacher-colleague race congruence and mobility: Do colleague demographics impact teacher retention?
Teacher turnover is especially pronounced among teachers of color who play critically important roles in the success of students of color. A growing literature points to racial isolation as one factor that is associated with Black teacher job satisfaction in particular, which in turn could play a role in a teacher’s decision to remain in a school. However, little is known about whether having… more →
Staffing Interventions to Support Students Experiencing Homelessness: Evidence from New York City
There is limited empirical evidence about educational interventions for students experiencing homelessness, who experience distinct disadvantages compared to their low-income peers. We explore how two school staffing interventions in New York City shaped attendance outcomes of students experiencing homelessness using administrative records from 2013-2022 and a difference-in-differences… more →
Technology Apprenticeships and Labor Market Outcomes: Mixed-Methods Evidence from the LaunchCode Program
We leverage employment and earnings data from a large credit bureau, program data from LaunchCode—a free technology education, and in-depth interviews with applicants and instructors to examine if the LaunchCode program leads to economic benefits, who is most likely to experience these benefits, and how this program produces these benefits. We first conduct an intent-to-treat analysis by… more →
The Effects of Losing Pell Grant Eligibility on Student Outcomes
This paper examines the effects of Pell Grant eligibility on student outcomes. Using a regression discontinuity (RD) design and a partial identification approach, the study provides bounds on the treatment effects that account for selection bias arising from the loss of grant eligibility. While initial eligibility is determined by financial need alone, students must achieve Satisfactory… more →