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K-12 Education

C. Kirabo Jackson.

This paper presents new evidence on the benefits of decentralization in public education, focusing on a Chicago policy that granted school principals more control over budgeting and operations. Meta-analysis of similar policies shows a small average effect with significant variation across settings. To explain this heterogeneity, I adopt theories from public finance, contract theory and psychology that suggest that the impact of autonomy depends on motivation effects, principal objectives, and the alignment between district and school choices. In event-study models, on average, increased school-level control improved math and English passing rates by about four percentage points (0.1σ), comparable to interventions costing over $1,000 per pupil but achieved at nearly zero cost. Affected schools also see reduced principal turnover and improved school climate, indicating increased stability and effort. Deconvolution-based analysis of the distribution of true effects reveals a range from zero at the 20th percentile to a ten percentage-point increase at the 80th percentile (approximately 0.2σ). I provide design-based evidence supporting the theoretical literature: (a) High-quality principals with a track record of strong test score growth experience more positive autonomy effects – underscoring the role of local capacity and well-aligned incentives. (b) Schools with atypical student populations benefit more from autonomy and allocate resources to services tailored to their student’s specific needs – indicating that heterogeneity plays a key role.

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Jesse Bruhn, Christopher Campos, Eric Chyn.

We study the distributional effects of remote learning. Our approach combines newly collected data on parental preferences with administrative data from Los Angeles. The preference data allow us to account for selection into remote learning while also studying selection patterns and treatment effect heterogeneity. We find a negative average effect of remote learning on reading (–0.14σ) and math (–0.17σ). Notably, we find evidence of positive learning effects for children whose parents have the strongest demand for remote learning. Our results suggest an important subset of students who currently sort into post-pandemic remote learning benefit from expanded choice.

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Shirin A. Hashim, Thomas Kelley-Kemple, Mary E. Laski.

We propose a new method for estimating school-level characteristics from publicly available census data. We use a school’s location to impute its catchment area by aggregating the nearest n census block groups such that the number of school-aged children in those n block groups is just over the number of students enrolled in that school. We then weight census data by the number of school-aged children in the block-group to estimate school-level measures. We conduct several robustness checks to assess the quality of our estimates and find that our method is broadly successful in replicating known school-level characteristics and producing unbiased estimates for school-level income. This method expands the available set of school-level variables to the broader and richer set of characteristics measured in the census, which can then be used to conduct descriptive and observational research across a long time horizon.

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Jane Friesen, Brian Krauth, Brett Wilmer.

We use linked individual-level data on school enrollment, physician services received, and prescription medications to measure the effect of the COVID-19 pandemic and associated disruptions on mental health treatment received by adolescents in British Columbia. We also investigate whether these effects are mediated by socioeconomic status and schooling mode. The results suggest substantial increases for non-Indigenous English home language girls in treatment for depression/anxiety, ADHD, eating disorders and other mental health conditions. Indigenous and non-English home language girls also show increases in treatment for depression/anxiety, and Indigenous girls show increases in treatment for ADHD. In contrast, boys show no change or even reductions in treatment for most mental health conditions. These effects vary somewhat by socioeconomic status, but we find no evidence that they vary substantially by schooling mode.

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Jian Zou.

Little is known about the impact of peer personality on human capital formation. This paper studies the peer effect of persistence, a personality trait that reflects perseverance when facing challenges and setbacks, on student achievement. Exploiting student-classroom random assignments in middle schools in China, I find having more persistent peers improves in student achievement. The effects are prominent in students with high and medium baseline persistence. I find three mechanisms: (i) students’ own persistence and self-disciplined behaviors increase; (ii) teachers become more responsible/patient and spend more time on teaching preparation; and (iii) endogenous friendship networks consisting of more academically successful peers and fewer disruptive peers develop, particularly among students who share with similar levels of persistence.

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David Figlio, Krzysztof Karbownik, Umut Özek.

Public policies often target individuals but within-family externalities of such interventions are understudied. Using a regression discontinuity design, we document how a third grade retention policy affects both the target children and their younger siblings. The policy improves test scores of both children while the spillover is up to 30% of the target child effect size. The effects are particularly pronounced in families where one of the children is disabled, for boys, and in immigrant families. Candidate mechanisms include improved classroom inputs and parental school choice.

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Ishtiaque Fazlul, Benjamin Scafidi.

During the Great Recession and in the years that immediately followed, previous research has well-documented that U.S. public school districts receiving larger shares of their funding from state governments experienced larger declines in expenditures per student, as the GR impacted state tax bases more than it impacted local tax bases. Using detailed financial data from the academic years 2004 to 2020, we analyze the longer-term effects of the GR on a broader array of U.S. public school district finances. Employing both difference-in-differences and event study approaches, our results indicate that public school expenditures and unspent end-of-year fund balances recovered and eventually exceeded pre-GR levels on an inflation-adjusted and per-student basis. However, the funding increases were heterogeneous such that districts receiving larger shares of funding from states were less successful at increasing spending and fund balances through 2020—more than ten years after the GR officially ended. Our empirical strategy survives a host of robustness checks. This pattern is concerning as more state-dependent districts tend to have higher proportions of disadvantaged students.

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Seth Gershenson, Constance A. Lindsay, Nicholas W. Papageorge, Romaine Campbell, Jessica H. Rendon.

The US teaching force remains disproportionately white while the student body grows more diverse. It is therefore important to understand how and under what conditions white teachers learn racial competency. This study applies a mixed-methods approach to investigate the hypothesis that Black peers improve white teachers’ effectiveness when teaching Black students. The quantitative portion of this study relies on longitudinal data from North Carolina to show that having a Black same-grade peer significantly improves the achievement and reduces the suspension rates of white teachers’ Black students. These effects are persistent over time and largest for novice teachers. Qualitative evidence from open-ended interviews of North Carolina public school teachers reaffirms these findings. Broadly, our findings suggest that the positive impact of Black teachers’ ability to successfully teach Black students is not limited to their direct interaction with Black students but is augmented by spillover effects on early-career white teachers, likely through peer learning.

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Gautam Anand, Aishwarya Atluri, Lee Crawfurd, Todd Pugatch, Ketki Sheth.

Improving school quality in low and middle income countries (LMICs) is a global priority. One way to improve quality may be to improve the management skills of school leaders. In this systematic review, we analyze the impact of interventions targeting school leaders' management practices on student learning. We begin by describing the characteristics and responsibilities of school leaders using data from large, multi-country surveys. Second, we review the literature and conduct a meta-analysis of the causal effect of school management interventions on student learning, using 39 estimates from 20 evaluations. We estimate a statistically significant improvement in student learning of 0.04 standard deviations. We show that effect sizes are not related to program scale or intensity. We complement the meta-analysis by identifying common limitations to program effectiveness through a qualitative assessment of the studies included in our review. We find three main factors which mitigate program effectiveness: 1) low take-up; 2) lack of incentives or structure for implementation of recommendations; and 3) the lengthy causal chain linking management practices to student learning. Finally, to assess external validity of our review, we survey practitioners to compare characteristics between evaluated and commonly implemented programs. Our findings suggest that future work should focus on generating evidence on the marginal effect of common design elements in these interventions, including factors that promote school leader engagement and accountability.

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Jinyong Hahn, John D. Singleton, Nese Yildiz.

Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for parameters of interest in this model under both strict and weak exogeneity assumptions. The key identification insight is that other periods' treatment variables are instruments for the unobserved fixed effects. We apply our proposed estimator to matched student-teacher data used to estimate value-added models of teacher quality. We show that the common assumption that the return to unobserved teacher quality is the same for all students is rejected by the data. We also present evidence that No Child Left Behind-era school accountability increased the effectiveness of teacher quality for lower performing students.

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