Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

Public schools with impressive records of serving lower-performing students are often overlooked because their average test scores, even when students are growing quickly, are lower than scores in schools that serve higher-performing students. Schools may appear to be doing poorly either because baseline achievement is not easily accounted for or…

Across the country and in urban areas in particular, many students change schools during the academic year. While much research documents the impact of changing schools on the academic achievement of mobile students themselves, less research explores whether new arrivals have negative spillovers on stable classmates. The lack of research on…

This article provides provide a new, systematic profile of more than 18,000 homeless students in Michigan, utilizing rich administrative data from all test-taking students in Grades 3-9 during three academic years. These data are part of a larger study of school choice and student mobility in that state. Homelessness is a condition found…

We evaluate a tracking program in a large urban district where schools with at least one gifted fourth grader create a separate "gifted/high achiever" classroom. Most seats are filled by non-gifted high achievers, ranked by previous-year test scores. We study the program's effects on the high achievers using (1) a rank-based regression…

This paper investigates how the precision and stability of a teacher's value-added estimate relates to the characteristics of the teacher's students. Using a large administrative data set and a variety of teacher value-added estimators, it finds that the stability over time of teacher value-added estimates can depend on the previous achievement…

This paper examines the effect of exposure to violent crime on students' standardized test performance among a sample of students in New York City public schools. To identify the effect of exposure to community violence on children's test scores, we compare students exposed to an incident of violent crime on their own blockface in the week prior…