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EdWorkingPapers

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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Michel Grosz.

I estimate the effect of attending an associate's degree in nursing program on nursing licensure. I use student-level academic data for all California community college students, matched to public records on all nursing licenses earned in the state. I produce causal estimates using random variation from admissions lotteries at a large nursing program. Enrolling in the program increases the probability of having an active nursing license by 59 percentage points within three years. By seven years the effect is smaller and not statistically significant. I estimate the value of a nursing license as approximately $5,000-$6,000 per year.

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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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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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Mengyuan Liang.

Even though women have continuously caught up with men in education attainment and labor market participation since the 1970s, the wage gap between men and women still universally exists today. Do female college graduates still earn less than their male counterparts if men’s and women’s “profiles” of observed productivity-related characteristics are statistically adjusted to be equivalent? To answer this research question and better understand the current gender wage gap, I introduce a novel propensity score stratification method for gender wage gap decomposition. This new method overcomes certain limitations of the traditional Blinder-Oaxaca decomposition method, and provides an example of validly applying propensity score-based methods (mostly used in causal settings) to gender wage gap decomposition, a non-causal setting. Making use of this new method, I analyze a nationally representative sample from the Baccalaureate and Beyond Longitudinal Study, which represents the 1993 Cohort of U.S. college graduates. Through propensity score stratification, the observed productivity-related characteristics between men and women in the sample are statistically adjusted to be equivalent within each stratum of propensity score. After “equalizing” these characteristics, evidence shows the women-to-men wage ratio among this college educated population is still 87.4% at the tenth year after they graduated from college. This remaining gender gap cannot be explained by the observed gender differences in productivity-related characteristics, and is the evidence of a discriminatory wage gap possibly existing in the labor market. Additionally, the unexplained gender wage gap universally exists regardless whether these “profiles” of qualifications and labor market experience are stereotypically female or male. Even acknowledging that this research cannot account for all the gender differences in productivity due to data limitation, the results of this research will add to the empirical evidence of measuring the discriminatory wage gap that possibly exists in the labor market.

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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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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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