Exhibit 3.

Difference-in-Difference Estimates Comparing Receipt of Post-FPUC Unemployment Insurance to Receipt of Unemployment Insurance when FPUC was Active

	Difference in Difference Estimate in Percentage Points of Outcome Risk	P	Q	Unemployment Insurance Estimate in Percentage Points of Outcome Risk (95% CI)	P	Q
Missed Housing Payment	10.79	<.0001	<.0001	−10.70	<.0001	<.0001
Food Insufficiency	3.88	0.0002	0.0003	−5.01	<.0001	<.0001
Depressive Symptoms	6.04	<.0001	0.0002	−4.15	0.0003	0.0005
Anxiety Symptoms	5.82	<.0001	0.0002	−3.15	0.006	0.007

Notes:

The units for the difference-in-difference estimate and the unemployment insurance estimates are percentage points of risk for the outcome indicated by the row. The unemployment insurance estimate compares those who did to those who did not receive unemployment insurance.

Point estimates, 95% confidence intervals, and p-values are from linear probability regression models with robust standard errors clustered by respondent (to account for repeated survey responses within individuals) and representativeness weights.

The q-value comes from the False Discovery Rate approach to control type I error. The q-value can be interpreted as indicating the proportion of results with that q-value or lower that would be expected to be a false positive accounting for all the analyses conducted. Thus a q-value < 0.05 indicates that, accounting for multiple analyses, a given result is expected to be a false positive less than 5% of the time.

Models were adjusted for age, gender, race/ethnicity, education, income, household size, pre-pandemic food insufficiency, marital status, work in the last 7 days, state COVID cases per capita, state, and week of survey.

FPUC = Federal Pandemic Unemployment Compensation