Suchergebnisse

The impact of a major historical event on child and youth development has been of great interest in the study of the life course. This study is focused on assessing the causal effect of the Great Recession on youth disconnection from school and work. Building on the insights offered by the age-period-cohort research, econometric methods, and developmental psychology, we innovatively develop a causal inference strategy that takes advantage of the multiple successive birth cohorts in the National Longitudinal Study of Youth 1997. The causal effect of the Great Recession is defined in terms of counterfactual developmental trajectories and can be identified under the assumption of short-term stable differences between the birth cohorts in the absence of the Great Recession. A meta-analysis aggregates the estimated effects over six between-cohort comparisons. Furthermore, we conduct a sensitivity analysis to assess the potential consequences if the identification assumption is violated. The findings contribute new evidence on how precipitous and pervasive economic hardship may disrupt youth development by gender and class of origin.

AbstractThis study aims to test the theory underlying Job Corps, one of the largest education and training programs in the U.S. serving disadvantaged youth. Central to the program are vocational training and general education that serve as two concurrent mediators transmitting the program impact on earnings. To distinguish the relative contribution of each, we develop methods for decomposing the Job Corps impact on earnings into an indirect effect transmitted through vocational training, an indirect effect transmitted through general education, and a direct effect attributable to supplementary services. We further ask whether general education and vocational training reinforce each other and produce a joint impact greater than the sum of the two separate pathways. Moreover, we examine the heterogeneity of each causal effect across all the Job Corps centers. This article presents concepts and methods for defining, identifying, and estimating not only the population averages but also the between‐site variance of these causal effects. Our analytic procedure incorporates a series of weighting strategies to enhance the internal and external validity of the results and assesses the sensitivity to potential violations of the identification assumptions.