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Brian T. Hamel.
Locally-elected school boards have wide discretion over allocating money among the schools in their district, yet we know relatively little about how they decide “which schools get what.” I argue that electoral incentives are one factor that can influence the distribution of resources: board members will direct spending toward schools located in neighborhoods of their district where spending will be most electorally beneficial in the next election. I test this argument using data from a discretionary school modernization program in the Los Angeles Unified School District, and find that board members distribute resources primarily to schools in competitive and moderately supportive neighborhoods, especially when running in an on-cycle election where parents make-up a larger share of the electorate and where student performance affects election outcomes. By comparison, schools in overwhelmingly opposed and supportive areas are excluded. These results suggest that local democratic control of school boards can hinder educational equality.

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Noam Angrist, Rachael Meager.

Targeted instruction is one of the most effective educational interventions in low- and middle-income countries, yet reported impacts vary by an order of magnitude. We study this variation by aggregating evidence from prior randomized trials across five contexts, and use the results to inform a new randomized trial. We find two factors explain most of the heterogeneity in effects across contexts: the degree of implementation (intention-to-treat or treatment-on-the-treated) and program delivery model (teachers or volunteers). Accounting for these implementation factors yields high generalizability, with similar effect sizes across studies. Thus, reporting treatment-on-the-treated effects, a practice which remains limited, can enhance external validity. We also introduce a new Bayesian framework to formally incorporate implementation metrics into evidence aggregation. Results show targeted instruction delivers average learning gains of 0.42 SD when taken up and 0.85 SD when implemented with high fidelity. To investigate how implementation can be improved in future settings, we run a new randomized trial of a targeted instruction program in Botswana. Results demonstrate that implementation can be improved in the context of a scaling program with large causal effects on learning. While research on implementation has been limited to date, our findings and framework reveal its importance for impact evaluation and generalizability.

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Brian McManus, Jessica Howell, Michael Hurwitz.

The impact of test-optional college admissions policies depends on whether applicants act strategically in disclosing test scores. We analyze individual applicants’ standardized test scores and disclosure behavior to 50 major US colleges for entry in fall 2021, when Covid-19 prompted widespread adoption of test-optional policies. Applicants withheld low scores and disclosed high scores, including seeking admissions advantages by conditioning their disclosure choices on their other academic characteristics, colleges’ selectivity and testing policy statements, and the Covid-related test access challenges of the applicants’ local peers. We find only modest differences in test disclosure strategies by applicants’ race and socioeconomic characteristics.

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Morgan Polikoff, Michael Fienberg, Daniel Silver, Marshall Garland, Anna R. Saavedra, Amie Rapaport.

Public schools are currently a source of major political conflict, specifically with regard to issues related to LGBT representation in the curriculum. We report on a large nationally representative survey of American households focusing on their views on what LGBT topics are and should be taught, and what LGBT-themed books should be assigned and available. We report results overall and broken down by demographic, partisan, and geographic variables. We find that Americans report that they largely do not know what topics are being taught in schools, but they do not think LGBT topics are being taught to elementary children. There is widespread opposition to teaching about LGBT issues in elementary school, with more mixed support in high school. Voters are much more opposed to LGBT-themed books being assigned to students than available to them. There are very large splits in attitudes toward LGBT issues in schools, especially along political and religious lines and across states and counties based on partisan lean. We discuss implications of these findings for education policy and urge greater understanding of Americans' views about controversial topics in the curriculum.

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Shaun M. Dougherty, Mary M. Smith, Beth Kelly .

Prior research has clearly established the substantial expected payoffs to investments in early childhood education. However, the ability to deliver early childhood programs differs across communities with access to high quality programing especially hard to establish in rural communities. We study one program, Early Steps to School Success, to understand whether the provision of home visiting and book exchange programs in rural Kentucky can influence kindergarten readiness. Linking program data with the state longitudinal data system in Kentucky we create multiple comparison groups by matching children on known program qualification indicators to estimate whether Early Steps program participation was related to school readiness. Our estimates suggest that program participation resulted in small improvements to children’s kindergarten readiness, as measured by the Brigance kindergarten readiness assessment overall score and sub-scores in language, cognitive, and physical development. Results are not sensitive to our choice of comparison group, though they appear driven by the experiences of children who participate from birth through age five or from ages three-to-five only. Our findings suggest that the Early Steps home visiting intervention may be a worthwhile intervention for improving kindergarten preparedness for children living in rural contexts.

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Wendy Castillo, David Gillborn.

‘QuantCrit’ (Quantitative Critical Race Theory) is a rapidly developing approach that seeks to challenge and improve the use of statistical data in social research by applying the insights of Critical Race Theory. As originally formulated, QuantCrit rests on five principles; 1) the centrality of racism; 2) numbers are not neutral; 3) categories are not natural; 4) voice and insight (data cannot ‘speak for itself); and 5) a social justice/equity orientation (Gillborn et al, 2018). The approach has quickly developed an international and interdisciplinary character, including applications in medicine (Gerido, 2020) and literature (Hammond, 2019). Simultaneously, there has been ferocious criticism from detractors outraged by the suggestion that numbers are anything other than objective and scientific (Airaksinen, 2018). In this context it is vital that the approach establishes some common understandings about good practice; in order to sustain rigor, make QuantCrit accessible to academics, practioners, and policymakers alike, and resist widespread attempts to over-simplify and pillory. This paper is intended to advance an iterative process of expanding and clarifying how to ‘QuantCrit’.

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Mei Tan, Dorottya Demszky.

Teachers’ attitudes and classroom management practices critically affect students’ academic and behavioral outcomes, contributing to the persistent issue of racial disparities in school discipline. Yet, identifying and improving classroom management at scale is challenging, as existing methods require expensive classroom observations by experts. We apply natural language processing methods to elementary math classroom transcripts to computationally measure the frequency of teachers’ classroom management language in instructional dialogue and the degree to which such language is reflective of punitive attitudes. We find that the frequency and punitiveness of classroom management language show strong and systematic correlations with human-rated observational measures of instructional quality, student and teacher perceptions of classroom climate, and student academic outcomes. Our analyses reveal racial disparities and patterns of escalation in classroom management language. We find that classrooms with higher proportions of Black students experience more frequent and more punitive classroom management. The frequency and punitiveness of classroom management language escalate over time during observations, and these escalations occur more severely for classrooms with higher proportions of Black students. Our results demonstrate the potential of automated measures and position everyday classroom management interactions as a critical site of intervention for addressing racial disparities, preventing escalation, and reducing punitive attitudes.

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Riley Acton, Jo Al Khafaji-King, Austin Smith.

We examine the impact of local labor market shocks and state unemployment insurance (UI) policies on student discipline in U.S. public schools. Analyzing school-level discipline data and firm-level layoffs in 23 states, we find that layoffs have little effect on discipline rates overall. However, effects differ across the UI benefit distribution. At the lowest benefit level ($265/week), a mass layoff increases out-of-school suspensions by 4.5%, with effects dissipating as UI benefits increase. Effects are consistently largest for Black students - especially in predominantly White schools - resulting in increased racial disproportionality in school discipline following layoffs in low-UI states.

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Beth E. Schueler, Luke C. Miller, Amy Reynolds.

Partisanship influenced learning modality after the pandemic’s onset, but it is unknown whether partisanship predicted other aspects of educational operations. We study the role of partisanship, race, markets, and public health in predicting a range of operations—from modality to family engagement to social-emotional support to teacher PD—throughout 2020-21 in the context of Virginia. Districts’ partisan makeup and racial composition were similarly predictive of in-person offerings throughout 2020-21 but partisanship was less predictive over time. District characteristics explained limited variation in other aspects of operations, though districts with larger private school sectors provided more supports. Results emphasize the role of partisanship, race, and markets in reopening but also suggest school operational decisions were less politicized than choice of modality. 

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Natalia Orlova, Derek Rury, Justin C. Wiltshire.

Scholars disagree about the effect out-of-state university students have on potential in-state students. Despite paying a premium to attend state universities, researchers argue that out-of-state students may come at a cost to in-state students by negatively affecting academic quality or by crowding out in-state students. To study this relationship, we examine the effect of a 2016 policy at a highly ranked state flagship university that removed the limit on how many out-of-state students it could enroll. We find the policy caused an increase in out-of-state enrollment by around 29 percent and increased tuition revenue collected by the university by 47 percent. We argue that this revenue was used to fund increases in financial aid disbursed at the university, particularly to students from low-income households, indicating that out-of-state students cross-subsidize lower income students. We also fail to find evidence that this increase in out-of-state students had any effect on several measures of academic quality.

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