TANF Generosity, State-Provided Maternity Leave and the Material Wellbeing of Low-Income Families with Infants
Methods. Data come from the 1996-2008 panels of the Survey of Income and Program Participation (SIPP) with state-year policy variables created using the Urban Institute’s Welfare Rules Database. The sample includes mother-birth dyads in families below 200% of the FPL (N = 2,289). We estimate a series of logistics regressions to determine the association between state policy characteristics (measures of TANF generosity and an indicator for if the state had a TDI or PFL program in the year of the focal birth) and (1) the probability of TANF enrollment in the three months post-birth, and the probability of experiencing difficulty in paying: (2) rent; (3) essential expenses; and (4) utilities in the year following birth. We control for individual and household characteristics and account for policy endogeneity with state and year fixed effects.
Results. Indicators of state-level TANF generosity (higher benefit levels, eligibility of pregnant women) are significantly associated with a higher likelihood of post-birth TANF participation. More stringent TANF policies (diversion programs, time limit lower than the federal 5 year limit, and full-family sanctions) are significantly associated with lower likelihood of post-birth TANF participation. State-level TANF policies are also related to new mothers’ experiences of material hardship. Most notably, the full-family sanction is associated with significantly higher likelihood of difficulty paying rent, essential expenses and utilities in the year following a birth. Low-income new mothers with access to paid maternity leave through state TDI programs are significantly more likely to participate in TANF and less likely to report difficulty paying essential expenses or utility bills.
Conclusions. Our results suggest that the package of state-level policies serving low-income new mothers shapes welfare use and family wellbeing during the vulnerable post-birth period. The discussion will include implications of these findings for social policy makers, administrators and researchers.