Summary of regression models

Independent variables	(1a) OLS No state	(1b) OLS state	(2) Spatial lag	(3) Spatial error	(4) MSARSAR
Public assistance	−0.012	−0.012	−0.013∗	−0.008	−0.009
No insurance	0.075∗∗∗	0.067∗∗∗	0.068∗∗∗	0.077∗∗∗	0.055∗∗∗
Minority status	0.004	0.015∗∗∗	0.015∗∗∗	0.014∗∗∗	0.013∗∗∗
Female household heads	−0.017	−0.034∗∗∗	−0.034∗∗∗	−0.038∗∗∗	−0.019
Disable	0.091∗∗∗	0.135	0.115∗∗∗	0.119∗∗∗	0.114∗∗∗
Below poverty	0.212∗∗∗	0.186	0.170∗∗∗	0.161∗∗∗	0.149∗∗∗
Age 65 or older	0.272∗∗∗	0.291	0.274∗∗∗	0.287∗∗∗	0.241∗∗∗
Age 17 or younger	−0.005	0.015	0.012	0.007	0.014
COVID-19 cases	−0.020	−0.012	−0.015	0.002	−0.022
COVID-19 death	2.812∗∗∗	0.679	0.699	0.741	0.621
w-public assistance	–	–	–	–	−0.046∗∗∗
w-minority group	–	–	–	–	0.016∗∗∗
w-age 17 or younger	–	–	–	–	0.041∗∗
w-poverty	–	–	–	–	0.012
w-female household head	–	–	–	–	−0.110∗∗∗
w-P2020 (energy burden)	–	–	0.181∗∗∗	–	0.544∗∗∗
Lambda	–	–	–	0.355	−0.099
F-statistic	(11, 3131) = 248.2084∗∗∗	(61, 3081) = 62.6925∗∗∗	(62, 3080) = 67.6821∗∗∗	(61, 3081) = 58.4314∗∗∗	(67, 3075) = 71.7442∗∗∗
Adjusted R-Squared	0.4404	0.5410	0.5643	0.5377	0.5930
N	3142

[1] The number in parentheses refers to the model described in the next section on Data Analysis; for example (3) Spatial Error refers to 3. Spatial Error Model. [2] ∗∗∗ Significant at the 0.1% level. ∗∗ Significant at the 1% level. ∗ Significant at the 5% level.