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Missouri

Could Shifting the Margin between Community College and University Enrollment Expand and Diversify University Degree Production in STEM Fields?

We examine the potential to expand and diversify the production of university STEM degrees by shifting the margin of initial enrollment between community colleges and 4-year universities. Our analysis is based on statewide administrative microdata from the Missouri Department of Higher Education and Workforce Development covering enrollees in all public postsecondary institutions statewide.

The Education and Earnings Returns to Postsecondary Technical Education: Evidence from Missouri

We estimate the education and earnings returns to enrolling in technical two-year degree programs at community colleges in Missouri. A unique feature of the Missouri context is the presence of a highly-regarded, nationally-ranked technical college: State Technical College of Missouri (State Tech). Compared to enrolling in a non-technical community college program, we find that enrolling in a technical program at State Tech greatly increases students’ likelihoods of graduation and earnings.

Career Readiness in Public High Schools: An Exploratory Analysis of Industry Recognized Credentials

We use statewide administrative data from Missouri to document the prevalence of Industry Recognized Credential (IRC) programs in public high schools and understand the characteristics of students who complete IRCs. We show that 9 percent of Missouri students complete an IRC during their senior year of high school. IRC completers have lower achievement and are more likely to be disadvantaged along several measurable dimensions relative to their peers who complete analog college-ready programs, on average.

Free and Reduced-Price Meal Eligibility Does Not Measure Student Poverty: Evidence and Policy Significance

Free and reduced-price meal eligibility (FRM) is commonly used in education research and policy applications as an indicator of student poverty. However, using multiple data sources external to the school system, we show that FRM status is a poor proxy for poverty, with eligibility rates far exceeding what would be expected based on stated income thresholds for program participation. This is true even without accounting for community eligibility for free meals, although community eligibility has exacerbated the problem in recent years.

Estimating Test-Score Growth for Schools and Districts with a Gap Year in the Data

We evaluate the feasibility of estimating test-score growth for schools and districts with a gap year in test data. Our research design uses a simulated gap year in testing when a true test gap did not occur, which facilitates comparisons of district- and school-level growth estimates with and without a gap year. We find that growth estimates based on the full data and gap year data are generally similar, establishing that useful growth measures can be constructed with a gap year in test data.

How Do Teachers from Alternative Pathways Contribute to the Teaching Workforce in Urban Areas? Evidence from Kansas City

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.

Teacher Pension Plan Incentives, Retirement Decisions, and Workforce Quality

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.

Public Accountability and Nudges: The Effect of an Information Intervention on the Responsiveness of Teacher Education Programs to External Ratings

In the summer of 2013, the National Council on Teacher Quality (NCTQ) issued public, highly-visible ratings of teacher education programs as part of their ambitious and controversial Teacher Prep Review. We provide the first empirical examination of NCTQ ratings, beginning with a descriptive overview...

High School Course Access and Postsecondary STEM Enrollment and Attainment

We study the effects of access to high school math and science courses on postsecondary STEM enrollment and degree attainment using administrative microdata from Missouri. Our data panel includes over 140,000 students from 14 cohorts entering the 4-year public university system. The effects of high school course access are identified by exploiting plausibly exogenous variation in course offerings within high schools over time. We find that differential access to high school courses does not affect postsecondary STEM enrollment or degree attainment.

Accounting for Student Disadvantage in Value-Added Models (Update)

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.