Education Level

We use a novel database of the preservice apprenticeships (“student teaching placements”) of teachers in Washington State to investigate the relationship between mentor effectiveness (as measured by value added) and the future effectiveness of their mentees. We find a strong, positive relationship between the effectiveness of a teacher’s mentor and their own effectiveness in math and a more modest relationship in English Language Arts. The relationship in math is strongest early in a teacher’s career, decays significantly over time, and would be positive and statistically significant even in the presence of nonrandom sorting on unobservables of the same magnitude as the sorting on observables. Put together, this suggests that at least some of this relationship reflects a causal relationship between mentor effectiveness and the future effectiveness of their mentees in math.

Citation: Dan Goldhaber, John Krieg, Roddy Theobald (2018). Effective Like Me? Does Having a More Productive Mentor Improve the Productivity of Mentees? . CALDER Working Paper No. 208-1118-1

We use comprehensive data on student teaching placements from 14 teacher education programs (TEPs) in Washington State to explore the sorting of teacher candidates to the teachers who supervise their student teaching (“cooperating teachers”) and the schools in which student teaching occurs. We find that, all else equal, teachers with more experience, higher degree levels, and higher value added in math are more likely to serve as cooperating teachers, as are schools with lower levels of historical teacher turnover but with more open positions the following year. We also find that teacher candidates are more likely to be placed with cooperating teachers of the same gender and race/ethnicity, and are more likely to work with cooperating teachers and in schools with administrators who graduated from the candidate’s TEP.

Citation: John Krieg , Dan Goldhaber, Roddy Theobald (2018). Teacher Candidate Apprenticeships: Assessing the Who and Where of Student Teaching. CALDER Working Paper No. 206-1118-1

Student teaching has long been considered the most important component of an effective teacher education program. Recently, new research is finding links between these experiences and teacher candidates’ future effectiveness, yet relatively little is known about the student teacher placement process and, in particular, the processes that lead to the matching of teacher candidates to the in-service teachers who supervise their student teaching (“cooperating teachers”). In this study, we examine the match process as well as the factors that influence these placement decisions. We also explore how, if at all, practices vary across teacher education programs (TEPs), districts, and schools. We find that, in broad terms, the process for matching student teachers to mentor teachers is similar across educational institutions, although TEPs and school systems sometimes face competing priorities when placing student teachers in classrooms. We also identify a problem of information asymmetry in the placement process, which leaves TEPs with questions about how cooperating teachers are selected and districts and schools with limited information with which to make thoughtful and intentional matches between candidates and cooperating teachers. Finally, we document the important role of social networks in placements and how they can advantage some TEPs, districts, and schools in this process.

Citation: Elise St. John, Dan Goldhaber, John Krieg, Roddy Theobald (2018). How the Match Gets Made: Exploring Student Teacher Placements Across Teacher Education Programs, Districts, and Schools. CALDER Working Paper No. 204-1018-1

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

As states attempt to staff public school classrooms with qualified teachers, primary attention has focused on educator preparation and early career retention. Far less research has examined the staffing consequences of turnover induced by teacher pension plans. This paper makes use of a unique longitudinal data file with performance measures for all public school teachers in Tennessee. Descriptive analysis finds that higher quality teachers are less likely to retire for a given age and experience. To better understand the effects of pension plan incentives on workforce quality, we estimate a structural retirement model that explicitly allows for different work-retirement preferences for high and low quality teachers. We find that high quality teachers have a lower disutility for teaching as compared to retirement. Given that it costs less to keep high as compared to low quality teachers on the job, we use the structural estimates to simulate the effect of retention bonuses targeted to the former. One year retention bonuses produce an additional year of high quality teaching at a cost of roughly $40,000.

Citation: Shawn Ni, Michael Podgursky, Xiqian Wang (2018). Teacher Pension Plan Incentives, Retirement Decisions, and Workforce Quality. CALDER Working Paper No. 200-0718-1

We document patterns and trends in school segregation in North Carolina between 1998 and 2016, a period of rapid immigration in this racially diverse state. As in other states of the South, the period of court orders enforcing racial balance has given way not only to tacit acceptance of residentially based school segregation but also to policies that offer parents alternatives to traditional public schools. Most prominent among these alternatives in North Carolina are charter schools, which have expanded rapidly with the state’s blessing. Following the prevailing practice of social scientists, we measure segregation by the degree of imbalance across schools, using counties and metropolitan areas as basic geographical units. We differentiate students according to their racial/ethnic group and also to their family income. We take into account all students including those in private schools, charter schools and traditional public schools.

For the state as a whole, we find that white/nonwhite segregation increased over the period. Most of the increase was in urban areas. We also find that low-income students became more segregated from other students. Segregation measured either way increased sharply in Charlotte-Mecklenburg, which significantly changed its student assignment policy following a federal court order. Compared to metropolitan areas in other parts of the U.S., urban areas in the state have modest levels of segregation, because most districts are county-wide and thus large and diverse. We decompose metropolitan segregation, separating the portions due to private schools, charter schools, racial disparities between school districts, and racial disparities within districts. Charter schools and within-district disparities accounted for the increase in average segregation in metropolitan areas over the period. More generally, areas where school segregation increased the most tend to be large, growing, and marked by big increases in the share of students who are Hispanic.

Citation: Charles Clotfelter, Steven Hemelt, Helen Ladd, Mavzuna Turaeva (2018). School Segregation in The Era of Immigration and School Choice: North Carolina, 1998-2016. CALDER Working Paper No. 198-0618-1

This paper examines what parents value as they make choices among available charter schools, with primary attention to the racial mix of a school’s students.  We estimate conditional logit models of the charter school choices made by all parents in North Carolina who switched their child from a traditional public school to a charter school in 2014/15. Our findings that parents care about the school’s racial mix of students and that such preferences differ by the race and income of the choosers highlight the pressures that lead charter schools to be racially imbalanced.  Our models also include other factors that parents may value such as the distance to the charter, the school’s academic performance, the services provided by the charter, such as subsidized lunch and transportation, and the school’s mission and approach.   

Citation: Helen Ladd, Charles Clotfelter, Mavzuna Turaeva (2018). Choosing Charter Schools in North Carolina: What Do Parents Value?. CALDER Working Paper No. 196-0618-1

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

This paper examines the influence of teacher assistants and other personnel on student outcomes in elementary schools during a period of recession-induced cutbacks in teachers and teacher assistants. Using panel data from North Carolina, we exploit the state’s unique system of financing its local public schools to identify the causal effects of teacher assistants and other staff on student test scores in math and reading and other outcomes. We find strong and consistent evidence of positive contributions of teacher assistants, an understudied staffing category, with larger effects on outcomes for minority students than for white students. 

Citation: Steven Hemelt, Helen Ladd (2017). Teaching Assistants and Nonteaching Staff: Do They Improve Student Outcomes? (Update). CALDER Working Paper No. 169