We apply "value-added" models to estimate the effects of teachers on an outcome they cannot plausibly affect: student height. When fitting the relatively simple models that are widely used in educational practice to New York City data, we find the standard deviation of teacher effects on height is nearly as large as that for math and…

Over the past decade, identifying how schools might reduce student absenteeism has moved to the forefront of education policy. Yet little research has examined whether school type itself is important. We focus on the influence of Catholic schools using data from the past decade--the most relevant policy context for addressing absenteeism. The…

Despite the overwhelming focus on the overall average treatment effect in the methodological and statistical literature, in many cases the efficacy of an educational program or intervention might vary based on unit background characteristics. The identification of subgroups for which an educational intervention is particularly effective or, on the…

Grade retention, the practice of requiring a student to remain in the same grade the following year, disproportionately affects students with sociodemographic risk and facing academic challenges. Each year, the United States spends $20 billion on retention and two million children are retained. Extant studies examining early elementary grade…

In observational studies, selection bias will be completely removed only if the selection mechanism is ignorable, namely, all confounders of treatment selection and potential outcomes are reliably measured. Ideally, well-grounded substantive theories about the selection process and outcome-generating model are used to generate the sample of…

This study examined the efficacy of a core kindergarten mathematics program, Early Learning in Mathematics (ELM), a 120-lesson program with four content strands: (a) number operations, (b) geometry, (c) measurement, and (d) vocabulary. The study utilized a randomized block design, with 129 classrooms randomly assigned within schools to treatment…

We use quantile treatment effects estimation to examine the consequences of the random-assignment New York City School Choice Scholarship Program across the distribution of student achievement. Our analyses suggest that the program had negligible and statistically insignificant effects across the skill distribution. In addition to contributing to…

Bayesian alternatives to frequentist propensity score approaches have recently been proposed. However, few studies have investigated their covariate balancing properties. This article compares a recently developed two-step Bayesian propensity score approach to the frequentist approach with respect to covariate balance. The effects of different…

By incorporating two theoretical frameworks this study examines how school characteristics shape first-grade reading ability-grouping practices, and how this, in turn, affects students' reading achievement. The author uses the data from the Early Childhood Longitudinal Study and applies the propensity-score method to examine whether first-grade…

Prior research estimating the effect of Catholic schooling has focused on high school, where evidence suggests a positive effect of Catholic versus public schooling. In this article, we estimate the effect of attending a Catholic elementary school rather than a public school on the math and reading skills of children in kindergarten through fifth…