Abstract

In this paper, I use a novel dataset on evictions and a quasi-experimental research design to shed light on the relationship between health insurance and housing stability. I exploit variation in Medicaid expansion implementation to measure the expansion's impact on country-level eviction rates. In my preferred difference-in-differences specification, I estimate that the expansion decreased eviction rates by 12.5%, leading to one fewer eviction per 400 renting households. As the 95% confidence interval on this estimate ranges from -25.7% to 0.7%, I fail to reject both that the expansion had a more substantial negative impact or that it had no impact. The expansion appears to have a heterogeneous impact based on county characteristics. For example, it appears to have a larger impact on rent-burdened counties. Counterintuitively, I find that a county's baseline uninsured rate has little relationship with the impact of Medicaid expansion on the county's eviction rates. My paper adds to a growing literature on the impact of Medicaid expansion on a variety of labor, health, and economic outcomes and is the first to use this national dataset of evictions. 

Citations

Gupta, Samarth. "The Rent is Too Damn High and the Coverage is Too Damn Low: Evidence from Medicaid Expansion and Eviction Rates." Working Paper No. 90. M-RCBG at the Harvard Kennedy School, May 2018.