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We examine the effect of air pollution from power production on students' cognitive outcomes by leveraging year-to-year production variation, wind patterns, and plant closures. We find that every one million megawatt hours of coal-fired power production decreases student performance in schools within ten kilometers by 0.02 standard deviations. Gas-fired plants exhibit no such relationship. Extrapolating our results nationwide indicates that the decline in coal use over the last decade raises test scores by 0.008 standard deviations and reduces the black-white test score gap by 0.006 standard deviations. The nationwide effect obscures substantial spatial variation: The respective numbers for the Midwest are 0.016 and 0.023.
Teacher evaluation policies seek to improve student outcomes by increasing the effort and skill levels of current and future teachers. Current policy and most prior research treats teacher evaluation as balancing two aims: accountability and skill development. Proper teacher evaluation design has been understood as successfully weighting the accountability and professional growth dimensions of policy and practice. I develop a model of teacher effectiveness that incorporates improvement from evaluation and detail conditions which determine the effectiveness of teacher evaluation for growth and accountability at improving student outcomes. Drawing on empirical evidence from the personnel economics, economics of education and measurement literatures, I simulate the long-term effects of a set of teacher evaluation policies. I find that those that treat evaluation for accountability and evaluation for growth as substitutes outperform policies that treat them as complements. I conclude that optimal teacher evaluation policies would impose accountability on teachers performing below a defined level and above which teachers would be subject to no accountability pressure but would receive intensive instructional supports.
A common rationale for offering online courses in K-12 schools is that they allow students to take courses not offered at their schools; however, there has been little research on how online courses are used to expand curricular options when operating at scale. We assess the extent to which students and schools use online courses for this purpose by analyzing statewide, student-course level data from high school students in Florida, which has the largest virtual sector in the nation. We introduce a “novel course” framework to address this question. We define a virtual course as “novel” if it is only available to a student virtually, not face-to-face through their own home high school. We find that 7% of high school students in 2013-14 enroll in novel online courses. Novel courses were more commonly used by higher-achieving students, in rural schools, and in schools with relatively few Advanced Placement/International Baccalaureate offerings.
Tutoring—defined here as one-on-one or small-group instructional programming by teachers, paraprofessionals, volunteers, or parents—is one of the most versatile and potentially transformative educational tools in use today. Within the past decade, dozens of preK-12 tutoring experiments have been conducted, varying widely in their approach, context, and cost. Our study represents the first systematic review and meta-analysis of these and earlier studies. We develop a framework for considering different types of programs to not only examine overall effects, but also explore how these effects vary by program characteristics and intervention context. We find that tutoring programs yield consistent and substantial positive impacts on learning outcomes, with an overall pooled effect size estimate of 0.37 SD. Effects are stronger, on average, for teacher and paraprofessional tutoring programs than for nonprofessional and parent tutoring. Effects also tend to be strongest among the earlier grades. While overall effects for reading and math interventions are similar, reading tutoring tends to yield higher effect sizes in earlier grades, while math tutoring tends to yield higher effect sizes in later grades. Tutoring programs conducted during school tend to have larger impacts than those conducted after school.
Improving schools depends on attracting talented teachers and fostering retention, both made possible by appealing to teacher preferences. I deploy a discrete-choice experiment in a setting where teachers have reason to reveal their preferences. Those data allow me to calculate willingness-to-pay for a comprehensive set of workplace attributes including salary structure, retirement benefits, performance pay, class size, and time-to-tenure. Schools can improve the appeal of teaching by shifting compensation into vehicles with greater WTP-to-cost ratios. Highly rated teachers have stronger preferences for schools offering performance pay, which may be used to differentially attract and retain them. Under various criteria, schools seem to underpay in salary and performance pay while overpaying in retirement benefits.
Younger siblings take more advanced high school course end of year exams when their older siblings perform better in those same exams. Using a regression discontinuity and data from millions of siblings who take Advanced Placement (AP) exams, we show that younger siblings with older siblings who marginally “pass” an AP exam are more likely to take at least one AP exam, increase the total number of AP exams, and are more likely to take the same exam as their sibling. The largest impacts are found among sisters, but we do not see differential effects in coursework where females are underrepresented.
We study personnel flexibility in charter schools by exploring how teacher retention varies with teacher and school quality in Massachusetts. Charters are more likely to lose their highest and lowest value-added teachers. Low performers tend to exit public education, while high performers tend to switch to traditional public schools. To rationalize these findings, we propose a model in which educators with high fixed-costs use charter schools to explore teaching careers before obtaining licenses required for higher paying public sector jobs. The model suggests charter schools create positive externalities for traditional public schools by increasing the average quality of available teachers.
COVID-19 has forced essentially all schools in the country to close their doors to inperson activities. In this study, we provide new evidence about variation in school responses across school types. We focus on five main constructs of school activity during COVID-19: personalization and engagement in instruction, personalization and engagement in other school communication with students, progress monitoring (especially assignment grading), breadth of services (e.g., counseling and meals), and equitable access (to technology and services for students with special needs). We find that the strongest predictor of the extent of school activities was the education level of parents and other adults in schools’ neighborhoods. Internet access also predicts school responses. Race, parent/adult income, and school spending do not predict school responses. Private schools shifted to remote learning several days faster than traditional public schools, though others eventually caught up. On some measures, charter schools exceeded the responses of other schools; in other cases, traditional public schools had the highest overall measures. States in the Midwest responded more aggressively than those in other regions, especially the South, even after controlling for the full set of additional covariates. Learning management systems were reported by a large majority of schools, followed by video communication tools and tutorial/assessment programs. Several methods are proposed and implemented to address differential website use. We discuss potential implications of these findings for policy and effects on student outcomes.
We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the Covid-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled relative to baseline. Areas of the country with higher income, better internet access and fewer rural schools saw substantially larger increases in search intensity. The pandemic will likely widen achievement gaps along these dimensions given schools' and parents' differing engagement with online resources to compensate for lost school-based learning time. Accounting for such differences and promoting more equitable access to online learning could improve the effectiveness of education policy responses to the pandemic. The public availability of internet search data allows our analyses to be updated when schools reopen and to be replicated in other countries.