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Educator labor markets
This paper reports improvements in teacher job performance, as measured by student test scores, resulting from a program of (zero-) low-stakes peer evaluation. Teachers working at the same school observed and scored each other’s teaching. Students in randomly-assigned treatment schools scored 0.07σ higher on math and English exams (0.09σ lower-bound on TOT). Within each treatment school, teachers were further randomly assigned to roles: observer and observee. Teachers in both roles improved, perhaps slightly more for observers. The typical treatment school completed 2-3 observations per observee teacher. Variation in observations was generated partly by randomly assigning a low and high (2*low) dose of suggested number of observations. Benefits were quite similar across dose conditions.
Using statewide data from Tennessee over more than a decade, this paper estimates the job performance returns to principal experience as measured by student, teacher, and principal outcomes. I find that principals improve substantially over time, evidenced by higher student achievement, higher ratings from supervisors, and lower rates of teacher turnover. However, improvement in student achievement as principals gain experience does not carry over when principals change schools. The returns to school-specific experience are largest for principals in high-poverty schools, highlighting the potential benefits of policies to improve the recruitment and retention of high-quality leaders in hard-to-staff environments.
Policymakers are increasingly including early-career earnings data in consumer-facing college search tools to help students and families make more informed post-secondary education decisions. We offer new evidence on the degree to which existing college-specific earnings data equips consumers with useful information by documenting the level of selection bias in the earnings metrics reported in the U.S. Department of Education’s College Scorecard. Given growing interest in reporting earnings by college and major, we focus on the degree to which earnings differences across four-year colleges and universities can be explained by differences in major composition across institutions. We estimate that more than three-quarters of the variation in median earnings across institutions is explained by observable factors, and accounting for differences in major composition explains over 30 percent of the residual variation in earnings after controlling for institutional selectivity, student composition, and local cost of living differences. We also identify large variations in the distribution of earnings within colleges; as a result, comparisons of early-career earnings can be extremely sensitive to whether the median, 25th, or 75th percentiles are presented. Taken together, our findings indicate that consumers can easily draw misleading conclusions about institutional quality when using publicly available earnings data to compare institutions.
We examine the dynamic nature of teacher skill development using panel data on principals’ subjective performance ratings of teachers. Past research on teacher productivity improvement has focused primarily on one important but narrow measure of performance: teachers’ value-added to student achievement on standardized tests. Unlike value-added, subjective performance ratings provide detailed information about specific skill dimensions and are available for the many teachers in non-tested grades and subjects. Using a within-teacher returns to experience framework, we find, on average, large and rapid improvements in teachers’ instructional practices throughout their first ten years on the job as well as substantial differences in improvement rates across individual teachers. We also document that subjective performance ratings contain important information about teacher effectiveness. In the district we study, principals appear to differentiate teacher performance throughout the full distribution instead of just in the tails. Furthermore, prior performance ratings and gains in these ratings provide additional information about teachers’ ability to improve test scores that is not captured by prior value-added scores. Taken together, our study provides new insights on teacher performance improvement and variation in teacher development across instructional skills and individual teachers.
One in five schools loses its principal each year. Despite the prevalence of principal turnover, little empirical research has examined its effects on school outcomes. Because principal turnover may occur in response to or contemporaneous with a downturn in student achievement, the effect of a turnover is confounded with unobserved school-level factors. We employ a novel identification strategy that blocks each potential source of endogeneity to isolate plausibly causal effects of within- and between-year principal turnover. Using eight years of North Carolina administrative data from 2009-2018, we find that principal turnover is associated with significant decreases in student achievement and increases in teacher turnover. These effects are similar whether the turnover occurs over the summer or during the school year.
In this paper, we study the roles of expertise and independence on governing boards in the context of education. In particular, we examine the causal influence of professional educators elected to local school boards on education production. Educators may bring valuable human capital to school district leadership, thereby improving student learning. Alternatively, the independence of educators may be distorted by interest groups. The key empirical challenge is that school board composition is endogenously determined through the electoral process. To overcome this, we develop and implement a novel research design that exploits California's randomized assignment of the order that candidates appear on election ballots. The insight of our empirical strategy is that ballot order effects generate quasi-random variation in the elected school board's composition. This approach is made possible by a unique dataset that combines election information about California school board candidates with district-level data on education inputs and outcomes. The results reveal that educators on the school board causally increase teacher salaries and reduce district enrollment in charter schools relative to other board members. We do not find accompanying effects on student test scores. We interpret these findings as consistent with educators on school boards shifting bargaining in favor of teachers' unions.
Despite growing concern over teachers’ ability to live comfortably where they work, we know little about the systematic impacts of affordability on teachers’ well-being, particularly in high-cost urban areas. We use novel survey data from San Francisco Unified School District to identify the patterns and prevalence of economic anxiety among teachers and assess how this anxiety relates to teachers’ attitudes, behaviors, and turnover. We find that San Francisco teachers have far higher levels of economic anxiety on average than a national sample of employed adults, and that younger teachers are particularly financially anxious. Furthermore, such anxiety relates to job performance and teacher retention— economically anxious teachers tend to have more negative attitudes about their jobs, have worse attendance, and are 50 percent more likely to depart the district within two years after the survey.
Growing evidence suggests that preservice candidates receive better coaching and are more instructionally effective when they are mentored by more instructionally effective cooperating teachers (CTs). Yet, teacher education program leaders indicate it can be difficult to recruit instructionally effective teachers to serve as CTs, in part because teachers worry that serving may negatively impact district evaluation scores. Using a unique dataset on over 4,500 CTs, we compare evaluation scores during years these teachers served as CTs to years they did not. In years they served as CTs, teachers had significantly better observation ratings and somewhat better achievement gains, though not always at significant levels. These results suggest that concerns over lowered evaluations should not prevent teachers from serving as CTs.
High teacher turnover imposes numerous costs on the schools and districts from which teachers depart. This study asks how schools respond to spells of high teacher turnover, and assesses organizational and human capital losses in terms of the changing composition of the teacher pool. Our analysis uses more than two decades of linked administrative data on math and ELA teachers at middle schools in North Carolina to determine school responses to turnover across different policy environments and macroeconomic climates. We find that, even after accounting for school contexts and trends, turnover has marked, and lasting, negative consequences for teacher quality and student achievement. Our results highlight the need for heightened policy attention to issues of teacher retention and working conditions.
Many districts and states have begun implementing incentives to attract high-performing teachers to low-performing schools. Previous research has found that these incentives are effective. However, effects on the schools and students these teachers leave behind has not been examined. This study focuses on the general equilibrium effects of recruiting effective teachers to Tennessee’s Innovation Zone (iZone) schools, one of the most successful turnaround initiatives in the nation (Zimmer, Henry, & Kho, 2017). While there is some variation in the effects of losing these teachers, we find they range between -0.04 and -0.12 standard deviations in student test score gains. However, an estimate including both these negative effects and the positive effects in iZone schools yields overall net positive effects.