Do In-Work Tax Credits Serve as a Safety Net?
Marianne Bitler, Hilary Hoynes and Elira Kuka, 2017. Journal of Human Resources Vol 36, Issue 2, pp. 358-389.
The cash and near cash safety net in the U.S. has undergone a dramatic transformation in the past fifteen years. Federal welfare reform has led to the “elimination of welfare as we know it” and several tax reforms have substantially increased the role of “in-work”' assistance. In 2012, we spent more than 7 dollars on the Earned Income Tax Credit (EITC) for every dollar spent on cash benefits through Temporary Assistance for Needy Families (TANF), whereas in 1994 on the eve of federal welfare reform these programs were about equal in size. In this paper, we evaluate and test whether the EITC demonstrates a defining feature of a safety net program—that it responds to economic need. In particular, we explore how EITC participation and expenditures change with the business cycle. The fact that the EITC requires earned income leads to a theoretical ambiguity in the cyclical responsiveness of the credit. We use administrative IRS data to examine the relationship between business cycles and the EITC program. Our empirical strategy relies on exploiting differences in the timing and severity of economic cycles across states. The results show that higher unemployment rates lead to an increase in EITC recipients and total dollar amounts of credits for married couples. On the other hand, the effect of business cycles on use of the EITC is insignificant for single individuals, whether measured by the number of recipients or expenditures. Estimates that further cut by education show that the protective effects of the EITC are concentrated among those with higher skills (and potential earnings). In sum, our results show that the EITC serves to mitigate the effects of income shocks for married couples with children and other groups likely to have moderate earnings, but does not do so for the majority of recipients—single parents with children. The patterns we identify are consistent with the predictions of static labor supply theory, which we confirm with an analysis of earnings, and with expectations about how economic shocks are likely to vary across family type and skill group.