Panel Paper:
Does Proximal Labor Market Demand Predict Career and Technical Education Coursetaking in High School? Evidence from a National Sample
*Names in bold indicate Presenter
The rising tide of interest in CTE has been accompanied by a wave of empirical research that has linked participation in it to a range of positive educational and labor market outcomes. Yet the conditions under which CTE achieves these results remain poorly understood. In particular, no study has examined the extent to which a fundamental goal of the extant Perkins law is being met--that is, the degree to which CTE coursetaking in high school aligns with the demands of the local labor market. This is critical not only because of its obvious importance to the broader CTE community, but also to federal lawmakers who required that state grantees demonstrate alignment between high school CTE and the local labor market as a condition of receiving Perkins funds. The current study addresses this gap in the literature. More specifically, the current study establishes a novel link between two extant data sources (the High School Longitudinal Study of 2009 (HSLS:2009) published by the National Center for Education Statistics and publicly available Occupational Employment Statistics (OES) collected by the Bureau of Labor Statistics (BLS) to ascertain the degree to which (1) CTE coursetaking in high school aligns with U.S. and regional market demand, (2) these relationships vary by CTE career cluster, and, lastly, (3) national and regional market demand predict CTE cluster area concentration. Robust linear probability model estimates with school fixed effects revealed that, in most CTE cluster areas, CTE coursetaking was positively associated with increased rates of employment in a student’s proximal geographical area. Average annual CTE cluster wages were, on the other hand, most often associated with decreased CTE coursetaking. There was no evidence to suggest that the links between CTE coursetaking and market characteristics interacted differentially with gender and socioeconomic status. The authors report a number of policy implications based on these and other empirical findings.
Full Paper: