Florida

This paper examines the impact of Teach For America (TFA) on following-year student test and non-test outcomes in Miami-Dade County Public Schools. This paper measures the extent to which exposure to TFA is followed by improved student outcomes in the future. In particular, this paper measures days missed due to absences or suspensions, course grades in each core subject, and progression in math courses. We find that students taught by TFA math teachers go on to have higher grades in math courses in the following year and are less likely to miss school due to being absent or suspended.

We study the effect of exposure to immigrants on the educational outcomes of US-born students, using a unique dataset combining population-level birth and school records from Florida. This research question is complicated by substantial school selection of US-born students, especially among White and comparatively affluent students, in response to the presence of immigrant students in the school.

We study the effect of preferences for boys on the performance in mathematics of girls, using evidence from two different data sources. In our first set of results, we identify families with a preference for boys by using fertility stopping rules in a large population of households whose children attend public schools in Florida. Girls growing up in a boy-biased family score on average 3 percentage points lower on math exams when compared to girls raised in other types of families.

I investigate the determinants of high school completion and college attendance, the likelihood of taking science, technology, engineering or math (STEM) courses in the first year of college and the probability of earning a degree in a STEM field. The focus is on women and minorities, who tend to be underrepresented in STEM fields. Tracking four cohorts of students throughout Florida, I find that large differences in math achievement across racial lines exist as early as elementary school and persist through high school.

Since their inception in 1992, the number of charter schools has grown to more than 6,000 in 40 states, serving more than 2 million students. Various studies have examined charter schools’ impacts on test scores, and a few have begun to examine longer-term outcomes including graduation and college attendance. This paper is the first to estimate charter schools’ effects on student earnings, alongside effects on educational attainment.

This paper contributes importantly to the growing literature on the training of special education teachers and how it translates into classroom practice and student achievement. The authors examine the impact of pre-service preparation and in-service formal and informal training on the ability of teachers to promote academic achievement among students with disabilities. Using student-level longitudinal data from Florida over a five-year span the authors estimate “value-added” models of student achievement.

Struggling schools that come under increased accountability pressure face a number of challenges, including changing instructional policies and practices to facilitate student improvement. But what effect does school accountability have on teachers’ mobility decisions? This study is the first to exploit policy variation within the same state to examine the effects of school accountability on teacher job changes.

Voucher options like tuition tax credit-funded scholarship programs have become increasingly popular in recent years. This study examines the effects of private school competition on public school students’ test scores in the wake of Florida’s Corporate Tax Credit Scholarship (FTC) program which offered scholarships to eligible low-income students to attend private schools.

The gold standard in making causal inference on program effects is a randomized trial. Most randomization designs in education randomize classrooms or schools rather than individual students. Such "clustered randomization" designs have one principal drawback: They tend to have limited statistical power or precision. This study aims to provide empirical information needed to design adequately powered studies that randomize schools using data from Florida and North Carolina.