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Students’ college choices can affect their chances of earning a degree, but many lack the support to navigate the opaque college application and admissions process. This paper evaluates whether guaranteeing four-year college admissions based on transparent academic standards affected community college students’ enrollment choices and graduation rates. Guaranteed admissions increased high-GPA graduates’ transfer rates to highly-selective colleges by 30 percent. Increased transfers to highly-selective colleges also accompanied higher graduation rates and lower student debt. Gains were largest for students with historically lower transfer rates. Transparent admissions standards can increase access to selective colleges at low to no cost.
Does student-teacher match quality exist? Prior work has documented large disparities in teachers' impacts across student types but has not distinguished between sorting and causal effects as the drivers of these disparities. I propose a disparate value-added model and derive a novel measure of teacher quality---revealed comparative advantage---that captures the degree to which teachers affect student outcome gaps. Quasi-experimental changes in teaching staff show that the comparative advantage measure accurately predicts teachers’ disparate impacts: a teacher with a 1 standard deviation in revealed comparative advantage for black students increases black students' test scores by 1 standard deviation and has no effect on non-black students' test scores. Teacher removal and teacher-to-classroom re-allocation simulations show substantial efficiency and equity gains of considering teachers’ comparative advantage.
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.
‘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’.
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.
Complexity and uncertainty in the college application process contribute to longstanding racial and socioeconomic disparities in enrollment. We leverage a large-scale experiment that combines an early guarantee of college admission with a proactive nudge, fee waiver, and structural application simplification to test the impacts of emerging “direct admissions” policies on students’ college-going behaviors. Students in the intervention were 2.7 percentage points (or 12%) more likely to submit a college application, with larger impacts for racially minoritized, first-generation, and low-income students. Students were most responsive to automatic offers from larger, higher quality institutions on the application margin, but were not more likely to subsequently enroll. In the face of growing adoption, we show this low-cost, low-touch intervention can move the needle on important college-going behaviors but is insufficient alone to increase enrollment given other barriers to access, including the ability to pay for college.
We document that recent generations of elementary school teachers are significantly more effective in raising student test scores than those from earlier generations. Measuring teachers’ value-added for Black and white students separately, the improvements in teaching for Black students are significantly larger than those seen for white students. The race-specific improvements in teacher quality are driven by white teachers. Analyses of mechanisms suggest that changing teachers’ biases may be one potential channel. Our results suggest reason for optimism since these teacher quality differences should lead to improved student learning and a narrowing of the Black-white test score gap over time.
We document trends in racial-ethnic and gender diversity among faculty at selective public universities in the U.S. since the turn of the 21st century, overall and separately in science, technology, engineering, and mathematics (STEM) fields. Racial-ethnic and gender diversity have broadly increased during the 21st century, and racial-ethnic diversity has increased at an accelerated rate since racial protests swept across college campuses during the 2015-16 academic year. When we analyze STEM and non-STEM fields separately, we find the share of female faculty is increasing faster in STEM fields, which is decreasing the cross-field gender diversity gap. In contrast, the share of Black faculty in STEM fields is increasing at a much lower rate than in non-STEM fields, exacerbating the cross-field gap in the Black faculty share. A similar pattern is present among Hispanic assistant professors.