Debates about the best type of high school training for labor market success have heightened as the nation strives to recover from the Great Recession and maintain its position in the global economy. Some scholars and policymakers call for increased academic intensification of high school curricula while others prescribe a renewed emphasis on vocational coursework that prepares students for sub-baccalaureate jobs. Both camps tend to ignore the local nature of schools and the uneven distribution of sub-baccalaureate jobs across local economies. The debate has also been gender-neutral even though well-paying sub-baccalaureate work lies primarily in male-dominated, blue-collar occupations.\n\nIn this dissertation, I highlight these local economic and gendered dimensions of the high school training debate that have been neglected in academic research and policy discussions. Using the Educational Longitudinal Study of 2002 (ELS:2002), a nationally representative sample of high school sophomores, this dissertation investigates the relationships among local labor markets, high school course offerings, and males' and females' education and early labor market outcomes. The first analytic chapter finds that students attending high schools in local labor markets with higher concentrations of sub-baccalaureate jobs take greater numbers of career and technical education (CTE) courses and are less likely to take advanced academic math courses than students in local labor markets with lower concentrations of these jobs. Their course-taking patterns are largely a function of their schools offering greater numbers of CTE courses and providing a less rigorous academic curriculum. High-achievers face the greatest advanced math course-taking penalties. \n\nThe remainder of this dissertation examines the gendered consequences of linking high school training to local jobs in places that rely more heavily on blue-collar work. I find that a greater emphasis on blue-collar courses and weaker college-preparatory curriculum in schools in these communities do not appear to harm the labor market outcomes of men in early adulthood. However, results suggest severe postsecondary and labor market penalties for young women. Overall, this dissertation highlights a local economic dimension of (gendered) opportunities for educational and occupational success. It points to schools—as gatekeepers to skills training and embedded within communities—as an important force in this stratification process.

I investigate how the educational demands of local labor markets shape high school course offerings and student course taking. Using the Education Longitudinal Study of 2002 linked to the U.S. Census 2000, I focus on local economic variation in the share of jobs that do not demand a bachelor's degree. I find that schools in local labor markets with higher concentrations of subbaccalaureate jobs devote a larger share of their course offerings to career and technical education (CTE) courses and a smaller share to advanced college-preparatory courses compared to schools in labor markets with lower concentrations of subbaccalaureate jobs, even net of school resources. Students in labor markets with higher concentrations of subbaccalaureate jobs take greater numbers of CTE courses, and higher-achieving students in these labor markets are less likely to take advanced math and Advanced Placement/International Baccalaureate courses. These course-taking disparities are largely due to school course offerings. This study shows how local economic inequalities shape high school curricular stratification, and suggests that school curricula linked to the educational demands of local jobs delimits the college preparation opportunities of high-achieving students.

Educational gradients in health status, morbidity, and mortality are well established, but which aspects of schooling produce those gradients is only partially understood. We draw on newly available data from the midlife follow-up of the High School and Beyond sophomore cohort to analyze the relationship between students' level of coursework in high school and their long-term health outcomes. We additionally evaluate the mediating roles of skill development, postsecondary attendance and degree attainment, and occupational characteristics. We find that students who took a medium- to high-level course of study in high school have better self-reported health and physical functioning in midlife, even net of family background, adolescent health, baseline skills, and school characteristics. The association partially operates through pathways into postsecondary education. Our findings have implications for both educational policy and research on the educational gradient in health.

Purpose: Researchers who study mortality among survey participants have multiple options for obtaining information about which participants died (and when and how they died). Some use public record and commercial databases; others use the National Death Index; some use the Social Security Death Master File; and still others triangulate sources and use Internet searches and genealogic methods. We ask how inferences about mortality rates and disparities depend on the choice of source of mortality information. Methods: Using data on a large, nationally representative cohort of people who were first interviewed as high school sophomores in 1980 and for whom we have extensive identifying information, we describe mortality rates and disparities through about age 50 using four separate sources of mortality data. We rely on cross-tabular and multivariate logistic regression models. Results: These sources of mortality information often disagree about which of our panelists died by about age 50 and also about overall mortality rates. However, differences in mortality rates (i.e., by sex, race/ethnicity, education) are similar across of sources of mortality data. Conclusion: Researchers' source of mortality information affects estimates of overall mortality rates but not estimates of differential mortality by sex, race and/or ethnicity, or education. (C) 2016 Elsevier Inc. All rights reserved.

Although research has consistently shown that higher levels of educational attainment are associated with better mental health at midlife, we know little about specific aspects of education from adolescence and the transition to adulthood that help to produce educational mental health disparities. This study examines the extent to which academic marginalization in high school, as defined by non-academic math course-taking, lowered educational expectations, and repeated course failures, are related to depressive symptoms in midlife. Using data from the 2014 follow-up survey of the High School and Beyond study, I find that high school students who took a non-academic math curriculum had significantly greater depressive symptoms at midlife, net of selection factors and subsequent degree attainment. Furthermore, failing three or more courses in high school or lowering expectations for high school graduation were also independently associated with depressive symptoms at mid-life, although the models suggest that the effect of course failures work through the subsequent likelihood of completing high school. These results highlight the importance of developing a more nuanced understanding of the association between education and mental health, and demonstrate that academic outcomes as early as in adolescence have implications for levels of depressive symptoms much later in the life course.

Tensions between the demands of the knowledge-based economy and remaining, blue-collar jobs underlie renewed debates about whether schools should emphasize career and technical training or college-preparatory curricula. We add a gendered lens to this issue, given the male-dominated nature of blue-collar jobs and women's greater returns to college. Using the ELS:2002, this study exploits spatial variation in school curricula and jobs to investigate local dynamics that shape gender stratification. Results suggest a link between high school training and jobs in blue-collar communities that structures patterns of gender inequality into early adulthood. Although high school training in blue-collar communities reduced both men's and women's odds of four-year college enrollment, it had gender-divergent labor market consequences. Men in blue-collar communities took more blue-collar courses, had higher rates of blue-collar employment, and earned similar wages relative to otherwise comparable men from non-blue-collar communities. Women were less likely to work and to be employed in professional occupations, and they suffered severe wage penalties relative to their male peers and women from non-blue-collar communities. These relationships were due partly to high schools in blue-collar communities offering more blue-collar and fewer advanced college-preparatory courses. This curricular tradeoff may benefit men, but it appears to disadvantage women.

This article describes issues in measuring school contexts with an eye toward understanding students' experiences and outcomes. I begin with an overview of the conceptual underpinnings related to measuring contexts, briefly describe the initiatives at the National Center for Education Statistics to measure school contexts, and identify possible gaps in those initiatives that if filled could provide valuable new data for researchers. Next, I discuss new approaches and opportunities for measurement, and special considerations related to diverse populations and youth development. I conclude with recommendations fin-future priorities.