Essays in Economics and Education

Education is a fundamental input of human capital formation. In this dissertation we explore topics related to how much and what time of human capital individuals invest in, and the long term-consequences of these investments. We begin with by measuring the degree to which financial incentives can affect a college student’s field of study. Next, we attempt to identify genetic variants associated with increased educational attainment and examine the biological systems implicated by this analysis. Last, we test for heterogeneous treatment effects of education on health across the distribution of observed health and across a genetic predictor of health. In chapter 1, we examine whether students respond to immediate financial incentives when choosing their college major. From 2006-07 to 2010-11, low-income students in technical or foreign language majors could receive up to $8,000 in SMART Grants. Since income-eligibility was determined using a strict threshold, we determine the causal impact of this grant on student major with a regression discontinuity design. Using administrative data from public universities in Texas, we determine that income-eligible students were 3.2 percentage points more likely than their ineligible peers to major in targeted fields. We measure a larger impact of 10.2 percentage points at Brigham Young University. In chapter 2 we find that, educational attainment (EA) is strongly influenced by social and other environmental factors, but genetic factors are also estimated to account for at least 20% of the variation across individuals. We report the results of a genome-wide association study (GWAS) for EA that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication in an independent sample of 111,349 individuals from the UK Biobank. We now identify 74 genome-wide significant loci associated with number of years of schooling completed. Single-nucleotide polymorphisms (SNPs) associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioral phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because EA is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric disease. In 1972, the mandatory minimum age at which a student could drop out of school in England and Wales was raised from 15 to 16, constraining roughly 15 percent of the student population. In chapter 3, we exploit this discontinuous increase in educational attainment to estimate the impact of education on body mass index (BMI) and diabetes approximately 40 years later. While previous literature found no significant effect of education on health, they were not able to investigate whether these effects vary along the distribution of health outcomes. We are able to detect large effects on BMI in the upper quantiles of observed BMI, as large as 2 BMI points at the 90th percentile of BMI, from a baseline of 35.6. Using a genetic predictor of BMI, we also find that those with higher genetic risk of obesity see smaller reductions in BMI as a result of the increase in compulsory schooling while large reductions are seen in those with low genetic risk. Taken together our results point to the importance of considering heterogeneity when estimating the impacts of education on health.Economic