- Joshua Hyman
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We examine the long-run impacts of having a same-race teacher. First, we leverage data from the Tennessee STAR class-size experiment to show that black students randomly assigned to a black teacher in grades K-3 are 5 percentage points (7%) more likely to graduate from high school and 4 percentage points (13%) more likely to enroll in college than their same-school, same-race peers not assigned to a black teacher. Second, we replicate these results in North Carolina using quasi-experimental methods. Finally, we formally define "role model effects" as information provision, which facilitates an exploration of possible mechanisms that drive these results.
I conduct a statewide experiment in Michigan with nearly 50,000 high-achieving high school seniors. Treated students are mailed a letter encouraging them to consider college and providing them with the web address of a college information website. I find that very high-achieving, low-income students, and very high-achieving, minority students are the most likely to navigate to the website. Small changes to letter content affect take-up. For example, highlighting college affordability induces 18 percent more students to the website than highlighting college choice, and 37 percent more than highlighting how to apply to college. I find a statistically precise zero impact on college enrollment among all students mailed the letter. However, low-income students experience a small increase in the probability that they enroll in college, driven by increases at four-year institutions. An examination of persistence through college, while imprecise, suggests that the students induced into college by the intervention persist at a lower rate than the inframarginal student.
We use a natural experiment to evaluate sample selection correction methods' performance. In 2007, Michigan began requiring that all students take a college entrance exam, increasing the exam-taking rate from 64 to 99%. We apply different selection correction methods, using different sets of predictors, to the pre-policy exam score data. We then compare the corrected data to the complete post-policy exam score data as a benchmark. We find that performance is sensitive to the choice of predictors, but not the choice of selection correction method. Using stronger predictors such as lagged test scores yields more accurate results, but simple parametric methods and less restrictive semiparametric methods yield similar results for any set of predictors. We conclude that gains in this setting from less restrictive econometric methods are small relative to gains from richer data. This suggests that empirical researchers using selection correction methods should focus more on the predictive power of covariates than robustness across modeling choices.
School finance reforms caused some of the most dramatic increases in intergovernmental aid from states to local governments in U.S. history. We examine whether teachers’ unions affected the fraction of reform-induced state aid that passed through to local spending and the allocation of these funds. Districts with strong teachers’ unions increased spending nearly dollar-for-dollar with state aid, and spent the funds primarily on teacher compensation. Districts with weak unions used aid primarily for property tax relief, and spent remaining funds on hiring new teachers. The greater expenditure increases in strong union districts led to larger increases in student achievement.