Research Areas

We examine how teachers from two alternative preparation programs—Teach for America (TFA) and Kansas City Teacher Residency (KCTR)—contribute to the teacher labor market in and around Kansas City, Missouri. We show that TFA and KCTR teachers are more likely than other teachers to work in charter schools, and more broadly, in schools with high concentrations of low-income, low-performing, and underrepresented minority (Black and Hispanic) students. TFA and KCTR teachers are themselves more racially/ethnically diverse than the larger local-area teaching workforce, but only KCTR teachers are more diverse than teachers in the same districts in which they work. In math in grades 4-8 we find sizeable, positive impacts of TFA and KCTR teachers on test-score growth relative to non-program teachers. We also estimate positive impacts on test-score growth in English Language Arts (ELA) for teachers from both programs, but our ELA estimates are smaller in magnitude.

Citation: Yang An, Cory Koedel (2020). How Do Teachers from Alternative Pathways Contribute to the Teaching Workforce in Urban Areas? Evidence from Kansas City. CALDER Working Paper No. 243-0920

We use a novel database of student teaching placements in Washington State to investigate teachers’ transitions from student teaching classrooms to first job classrooms and the implications for student achievement. We find that first-year teachers are more effective when they are teaching in the same grade, in the same school level, or in a classroom with student demographics similar to their student teaching classroom. We also document that only 27% of first-year teachers are teaching the same grade they student taught, and that first-year teachers tend to begin their careers in higher-poverty classrooms than their student teaching placements. This suggests that better aligning student teacher placements with first-year teacher hiring could be a policy lever for improving early-career teacher effectiveness.

Citation: John Krieg, Dan Goldhaber, Roddy Theobald (2020). Disconnected Development? The Importance of Specific Human Capital in the Transition from Student Teaching to the Classroom. CALDER Working Paper No. 236-0520

Principals are widely seen as a key influence on the educational environment of schools, and nearly all principals have experience as teachers. Yet there is no evidence on whether we can predict the effectiveness of principals (as measured by their value added) based on their value added as teachers, an issue we explore using administrative data from Washington. Several descriptive features of the principal labor market stand out. First, teachers who become principals tend to have higher levels of educational attainment while teaching and are less likely to be female, but we find no significant differences in licensure test scores between those teachers who become principals and those we do not observe in the principalship. Second, principal labor markets appear to be quite localized: about 50 percent of principals previously taught in the same district in which they assumed a principalship. We find positive correlations between teacher and principal value added in reading (ELA) and similarly sized but less precise estimates in math. Teachers who become principals have slightly higher teacher value added, but the difference between the two groups is not statistically significant, suggesting that principals are not systematically selected based on their prior effectiveness when serving as a classroom teacher.

Citation: Dan Goldhaber, Kristian Holden, Bingjie Chen (2019). Do More Effective Teachers Become More Effective Principals?. CALDER Working Paper No. 215-0119-1

We study the relative performance of two policy relevant value-added models – a one-step fixed effect model and a two-step aggregated residuals model – using a simulated dataset well grounded in the value-added literature. A key feature of our data generating process is that student achievement depends on a continuous measure of economic disadvantage. This is a realistic condition that has implications for model performance because researchers typically have access to only a noisy, binary measure of disadvantage. We find that one- and two-step value-added models perform similarly across a wide range of student and teacher sorting conditions, with the two-step model modestly outperforming the one-step model in conditions that best match observed sorting in real data. A reason for the generally superior performance of the two-step model is that it better handles the use of an error-prone, dichotomous proxy for student disadvantage.

WP 179 was revised in September 2018. It was originally released in June 2017

Citation: Eric Parsons, Cory Koedel, Li Tan (2018). Accounting for Student Disadvantage in Value-Added Models (Update). CALDER Working Paper No. 179

Few studies examine employee responses to layoff-induced unemployment risk; none that we know of quantify the impact of job insecurity on individual employee productivity. Using data from the Los Angeles Unified School District and Washington State during the Great Recession, we provide the first evidence about the impact of the layoff process on teacher productivity. In both sites we find that teachers impacted by the layoff process are less productive than those who do not face layoff-induced job threat. LAUSD teachers who are laid off and then rehired to return to the district are less productive in the two years following the layoff. Washington teachers who are given a reduction-in-force (RIF) notice and are then not laid off have reduced effectiveness in the year of the RIF. We argue that these results are likely driven by impacts of the layoff process on teachers’ job commitment and present evidence to rule out alternate explanations.

WP 140 was revised in March 2018. It was originally released in November 2015. 

Citation: Katharine O. Strunk, Dan Goldhaber, David S. Knight, Nate Brown (2018). Are There Hidden Costs Associated With Conducting Layoffs? The Impact of RIFs and Layoffs on Teacher Effectiveness. CALDER Working Paper No. 140

We study how the introduction of a rigorous teacher evaluation system in a large urban school district affects the quality composition of teacher turnovers. With the implementation of the new system, we document increased turnover among the least effective teachers and decreased turnover among the most effective teachers, relative to teachers in the middle of the distribution. Our findings demonstrate that the alignment between personnel decisions and teacher effectiveness can be improved through targeted personnel policies. However, the change in the composition of exiters brought on by the policy we study is too small to meaningfully impact student achievement.

Working Paper 168-0717 was updated March 2019, it was orginally published July 2017.

Citation: Julie Berry Cullen, Cory Koedel, Eric Parsons (2017). The Compositional Effect of Rigorous Teacher Evaluation on Workforce Quality. CALDER Working Paper No. 168

There is mounting evidence of substantial “teacher quality gaps” (TQGs) between advantaged and disadvantaged students, but practically no empirical evidence about their history. We use longitudinal data on public school students, teachers, and schools from two states—North Carolina and Washington—to provide a descriptive history of the evolution of TQGs in these states. We find that TQGs exist in every year in each state and for all measures we consider of student disadvantage and teacher quality. But there is variation in the magnitudes and sources of TQGs over time, between the two states, and depending on the measure of student disadvantage and teacher quality.

Citation: Dan Goldhaber, Vanessa Quince , Roddy Theobald (2016). Has It Always Been This Way? Tracing the Evolution of Teacher Quality Gaps in U.S. Public Schools. CALDER Working Paper No. 171

It is widely believed that teacher turnover adversely affects the quality of instruction in urban schools serving predominantly disadvantaged children, and a growing body of research investigates various components of turnover effects. The evidence at first seems contradictory, as the quality of instruction appears to decline following turnover despite the fact that most work shows higher attrition for less effective teachers. This raises concerns that confounding factors bias estimates of transition differences in teacher effectiveness, the adverse effects of turnover or both. After taking more extensive steps to account for nonrandom sorting of students into classrooms and endogenous teacher exits and grade-switching, we replicate existing findings of adverse selection out of schools and negative effects of turnover in lower-achievement schools. But we find that these turnover effects can be fully accounted for by the resulting loss in experience and productivity loss following the reallocation of some incumbent teachers to different grades.

Citation: Eric Hanushek, Steven Rivkin, Jeffrey Schiman (2016). Dynamic Effects of Teacher Turnover on the Quality of Instruction. CALDER Working Paper No. 170

Citation: Dan Goldhaber, John M. Krieg, Roddy Theobald (2016). Does the Match Matter? Exploring Whether Student Teaching Experiences Affect Teacher Effectiveness and Attrition. CALDER Working Paper No. 149