Used cluster analysis of survey data for 506 respondents to create a taxonomy of welfare leavers in Illinois based on their self-reported well-being after leaving welfare. Used classification tree analysis to identify factors associated with different types of leavers. Findings highlight the existence of many marginally successful leavers who…

Used survey (for 1,001 adults) and administrative data (for 137,330 first-exit cases) in structural equation modeling to examine psychological and social factors as determinants of welfare dependency and self-sufficiency. Findings show well-being to be a predictor of low recidivism and high employment. (SLD)