ABSTRACT
The objective of this article is to estimate the relationship of exceeding Temporary Assistance for Needy Families (TANF) time limits, with health insurance, healthcare, and health outcomes. The authors use Heckman selection models that exploit variability in state time-limit duration and timing of policy implementation as identifying exclusion restrictions to adjust the effect estimates of exceeding time limits for possible correlations between the probability of exceeding time limits and unobservable factors influencing the outcomes. The authors find that exceeding time limits decreases the predicted probability of Medicaid coverage, increases the predicted probability of being uninsured, and decreases the predicted probability of annual medical provider contact.
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