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Program and policy effects
The vast majority of literature on school choice, and charter schools in particular, focus on attending an elementary or middle school grades and often focus on test scores or other proximal outcomes. Much less is known about the long-term effects of attending a charter school in 9th grade. It is important to fill this information void for a few reasons. First, schools in general affect more than just students’ test scores. Second, secondary schools (including grades 9 to 12) make up a larger share of the charter sector. Third, school choice depends on freely available information for parents and students to make informed decisions about where to attend, including potential long-term benefits. We add to the empirical research on charter school effects by using a doubly-robust inverse probability weighted approach to evaluate the impacts of secondary charter school attendance on 9th grade behavioral outcomes and individuals propensity to commit crime and participate in elections as young adults in North Carolina, a state with a large and growing charter school sector.
Policymakers have sought to increase the rigor of content standards since the 1990s. However, the literature examining the effects of reforms to content standards on student outcomes is still developing. This study examines the extent to which the Common Core State Content Standards (CC) affected student achievement and the size of achievement gaps. To identify the effect of CC I compare early implementors of the CC to late implementors of the CC in a Difference-in-Differences framework. I conducted a document analysis to measure preparation for and implementation of the CC standards, which I merge together with the National Assessment of Educational Progress student-level data. I then exploit variation in the timing of state implementation of the CC to identify its effect on students overall and academically vulnerable groups. I find that the CC has a positive effect on math scores in 4th and 8th grade, but not in reading. The CC had a large positive effect on economically advantaged students, but a null effect for economically disadvantaged students. Demanding better results without addressing the structural issues burdening economically disadvantaged students may result in unintended consequences.
We provide novel evidence on the causal impact of student absences in middle and high school on state test scores, course grades, and educational attainment using a rich administrative dataset that includes the date and class period of each absence. Our identification strategy addresses potential endogeneity due to time-varying student-level shocks by exploiting the fact that in a given year, there exists within-student, between-class variation in absences. We also leverage information on the timing of absences to show that absences that occur after the annual window for state standardized testing do not appear to affect test scores, which provides a further check of our identification strategy. We find that absences in middle and high school harm contemporaneous student achievement and longer-term educational attainment: On average, missing 10 math classes reduces math test scores by 7% of a standard deviation, math course grades by 19% of a standard deviation, the probability of on-time graduation by 8%, and the probability of immediate college enrollment by 7%. Similar results hold for absences in English Language Arts classes. These results suggest that absences in middle school and high school are just as harmful, if not more so, than absences in elementary school. Moreover, the timing of absences during the school year matters, as both the occurrence and the impact of absences are dynamic phenomena.
Selective college admissions are fundamentally a question of tradeoffs: Given capacity, admitting one student means rejecting another. Research to date has generally estimated average effects of college selectivity, and has been unable to distinguish between the effects on students gaining access and on those losing access under alternative admissions policies. We use the introduction of the Top Ten Percent rule and administrative data from the State of Texas to estimate the effect of access to a selective college on student graduation and earnings outcomes. We estimate separate effects on two groups of students. The first--highly ranked students at schools which previously sent few students to the flagship university--gain access due to the policy; the second--students outside the top tier at traditional "feeder" high schools--tend to lose access. We find that students in the first group see increases in college enrollment and graduation with some evidence of positive earnings gains 7-9 years after college. In contrast, students in the second group attend less selective colleges but do not see declines in overall college enrollment, graduation, or earnings. The Top Ten Percent rule, introduced for equity reasons, thus also seems to have improved efficiency.
How should schools assign students to more rigorous math courses so as best to help their academic outcomes? We identify several hundred California middle schools that used 7th grade test scores to place students into 8th grade Algebra courses, and use a regression discontinuity design to estimate average impacts and heterogeneity across schools. Enrolling in 8th grade algebra boosts students’ enrollment in advanced math in 9th grade by 30 percentage points and 11th grade by 16 percentage points. Math scores in 10th grade rise by 0.05 standard deviations. Women, students of color, and English-language learners benefit disproportionately from placement into early Algebra. Importantly, the benefits of 8th grade algebra are substantially larger in schools that set their eligibility threshold higher in the baseline achievement distribution. This suggests a potential tradeoff between increased access and rates of subsequent math success.
Rising inequality in the United States has raised concerns about potentially widening gaps in educational achievement by socio-economic status (SES). Using assessments from LTT-NAEP, Main-NAEP, TIMSS, and PISA that are psychometrically linked over time, we trace trends in achievement for U.S. student cohorts born between 1954 and 2001. Achievement gaps between the top and bottom quartiles of the SES distribution have been large and remarkably constant for a near half century. These unwavering gaps have not been offset by improved achievement levels, which have risen at age 14 but have remained unchanged at age 17 for the past quarter century.
We examine through a field experiment whether outreach and support provided through an AI-enabled chatbot can reduce summer melt and improve first-year college enrollment at a four-year university and at a community college. At the four-year college, the chatbot increased overall success with navigating financial aid processes, such that student take up of educational loans increased by four percentage points. This financial aid effect was concentrated among would-be first-generation college goers, for whom loan acceptances increased by eight percentage points. In addition, the outreach increased first-generation students’ success with course registration and fall semester enrollment each by three percentage points. For the community college, where the randomized experiment could not be robustly implemented due to limited cell phone number information, we present a qualitative analysis of organizational readiness for chatbot implementation. Together, our findings suggest that proactive outreach to students is likely to be most successful when targeted to those who may be struggling (for example, in keeping up with required administrative tasks). Yet, such targeting requires university systems to have ready access to and ability to make use of their administrative data.
Recent increases in high school graduation rates have been linked anecdotally to online course-taking for credit recovery. Online course-taking that supports high school completion could open opportunities for postsecondary education pursuits. Alternatively, poorer quality online instruction could diminish student learning and discourage persistence toward graduation and further education. Using quasi-experimental methods in an eight-year longitudinal study of high school online course-taking, we find positive associations between online course-taking, credits earned and high school graduation, and for those with limited online course-taking, small increases in college enrollment. However, we find significantly lower four-year college enrollments and lower-quality college enrollments for all online course-takers, leaving open the question of whether online course-taking will lead to longer-term postsecondary education and labor market success.
The belief that additional time allows children to become more ready for school has affected public policy and individual practices. Prior studies estimated either associations between school entry age and academic growth or causal effects on achievement measured at one or two points. This paper contributes novel causal evidence for the impacts of kindergarten entry age on academic growth in the first three years of school. We embed regression discontinuity into a piecewise multilevel growth model and apply it to rich assessment data from three states. Being a year older leads to higher initial achievement and higher kindergarten growth rates but lower growth rates during 1st and 2nd grades. Effects do not differ by gender or race.
This paper uses meta-analytic techniques to estimate the separate effects of the starting age, program duration, and persistence of impacts of early childhood education programs on children’s cognitive and achievement outcomes. It concentrates on studies published before the wide scale penetration of state-pre-K programs. Specifically, data are drawn from 67 high-quality evaluation studies conducted between 1960 and 2007, which provide 993 effect sizes for analyses. When weighted for differential precision, effect sizes averaged .26 sd at the end of these programs. We find larger effect sizes for programs starting in infancy/toddlerhood than in the preschool years and, surprisingly, smaller average effect sizes at the end of longer as opposed to shorter programs. Our findings suggest that, on average, impacts decline geometrically following program completion, losing nearly half of their size within one year after the end of treatment. Taken together, these findings reflect a moderate level of effectiveness across a wide range of center-based programs and underscore the need for innovative intervention strategies to produce larger and more persistent impacts.