Methods: The current study examines the effects of state taxes on food insecurity, merging newly compiled policy data with nationally representative data from the Current Population Survey Food Security Supplement (2002-2019). The analytic sample includes 139,755 households with children (less than 18 years of age) and an income less than three times the Federal Poverty Line. Linear probability regression models with state and year fixed effects are used to estimate the relationship between tax burden and food insecurity.
Results: Results suggest that higher levels of tax burden are associated with increased likelihood of food insecurity, such that a one percentage point increase in tax burden is associated with a 0.1 percentage point increase in the likelihood a household reports food insecurity. Analyses examining specific taxes individually indicate that state sales taxes are particularly detrimental, while state EITCs are protective against household food insecurity. Post regression simulations provide policy relevant estimates of food insecurity rates under different parameters. In states with no EITC, the predicted rate of food insecurity is 24.6%; however, the rate falls to 24% with a state EITC providing 15% of the federal benefit. Under a 6% sales tax, the predicted rate of food insecurity is 25% but falls to 19% with no sales tax (24% decline).
Implications: The burden of funding the government is unequal in the United States. The growing tax burden on low- and middle- income Americans counters political narratives about supporting working families. This is especially relevant given the COVID-19 pandemic, which has resulted in the worst economic downturn since the Great Depression and enormous state budget shortfalls, resulting in policymakers increasingly seeking ways to increase tax revenue.