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While school choice has been well studied, there is little existing research exploring the role of transportation, in general, and school buses, in particular, to school choice decisions. We examine the effect of school buses on school choice decisions using data on kindergarten students and their eligibility for transportation assistance in New York City public schools in 2017. Using both conditional logit school choice models and regression discontinuity designs, we provide both descriptive and credibly causal evidence on the impact of school proximity, bus eligibility, and their interaction on school choice decisions. Our results indicate that proximity and buses both matter. Specifically, while distance significantly deters choice, school bus eligibility increases the likelihood of choosing a school by 1.4-4 percentage points (or 12-30 percent). Compared to a high-quality school, we find that bus eligibility has twice as large an impact on reducing the negative distance effect in the 0.5 to 1 mile range from school (27 versus 12 percent). These results will be useful for policy makers looking to leverage school transportation policy to improve school choice decisions, and ultimately student outcomes.

I investigate a possible unintended consequence of Proposition 2½ override behavior--that it led to increased segregation in school districts in Massachusetts. This can occur because richer, low-minority towns tend to have more successful override votes that attract similar households with relatively high demands for public services who can afford to pay for them. To evaluate this hypothesis, I collect panel data on override behavior from 1982 to 2012 and merge this with data on school district enrollments and other district- and town-level characteristics. I find evidence that passing overrides earmarked for schools results in a significant decrease in the percent of nonwhite students enrolled in Massachusetts school districts. This happens in districts with below-average nonwhite school enrollments, and hence increases segregation.

Although rearranging school organizational features is a popular school reform, little research exists to inform policymakers about how grade spans affect achievement. This article examines how grade spans and the school transitions that students make between fourth and eighth grade shape student performance in eighth grade. The authors estimate the impact of grade span paths on eighth-grade performance, controlling for school and student characteristics and correcting for attrition bias and quality of original school. They find that students moving from K-4 to 5-8 schools or in K-8 schools outperform students on other paths. Results suggest four possible explanations for the findings--the number and timing of school changes, the size of within-school cohorts, and the stability of peer cohorts. (Contains 11 tables and 21 notes.)

Reorganizing primary school grade spans is a tractable and relatively inexpensive school reform. However, assessing the effects of reorganization requires also examining other organizational changes that may accompany grade span reforms. Using data on New York City public schools from 1996 to 2002 and exploiting within-school variations, we examine relationships among grade span, spending, and size. We find that school grade span is associated with differences in school size, class size, and grade size, though generally not with spending and other resources. In addition, we find class size and grade size differences in the same grade level at schools with different configurations, suggesting that school grade span affects not only school size but also class size and grade size. We find few relationships, though, between grade span and school-level performance, pointing to the need to augment these analyses with pupil-level data. We conclude with implications for research and practice.

The impact of peers on student outcomes has important policy implications for how students are organized into classes and the overall impact of education interventions. But it is difficult to accurately measure peer effects because of the nonrandom sorting of students and teachers into classrooms and the endogeneity of peers' achievement. In this study, an education production function (EPF) is specified that includes student and peer characteristics as regressors. This model is estimated using student-level data from New York City public schools for 1995-2000. The richness of these data allows six sources of bias that arise in the EPF model to be addressed, including the above-mentioned nonrandom classroom assignment and the endogeneity of peers' achievement. This results in credible evidence of (small) peer group effects. Instrumenting for the mean of peers' achievement significantly reduces the associated peer effect. Nonlinear peer group effects are evident in the form of a small positive impact associated with the homogeneity of peers' achievement. Generally, peer characteristics do not appear to affect individual performance. Also included in this analysis is an application of a new methodology developed by Graham (2007) that identifies peer group effects through their impact on the variance in classroom mean test scores. The approach is less susceptible to the six biases that plague the EPF approach. The evidence from this exercise indicates that peer group effects are present and corroborates the results from the EPF approach.

State and federal accountability reforms are putting considerable pressure on schools to increase the achievement of historically low-performing groups of students and to close test score gaps. In this article, we exploit the differences among the large number of elementary schools in New York City to examine how much schools vary in the efficiency of the education they provide to subgroups. In addition, we examine the extent to which observable school characteristics can account for the variation that exists. We find that New York City elementary schools vary in how well they educate poor students compared to nonpoor students and Asian and White students compared to Black and Hispanic students. The disparities in school efficiency measures between boys and girls are lower than for the other subgroups. There is no conclusive evidence about which school resources and characteristics are associated with more or less efficient education across all subgroups.

Comparisons of the Cox, Wald, and J tests are conducted under a standard framework and in a misspecified setting - the data generation process includes a regressor that is not in either model. Most power comparisons have been carried out for 'local alternatives' but comparisons under a 'nonlocal alternatives' framework using the method of approximate slopes developed by Bahadur (1960, 1967) are made in this paper. Monte Carlo experiments are conducted and the Cox test is shown to have the highest small sample power and approximate slope for most of the cases considered. The results from response surface regressions provide strong evidence that the approximate slope is a good predictor of the small power of nonnested tests. It is also useful for directly comparing the small sample power of one degree of freedom tests of nonnested hypotheses.