Table 2.

Study 2A model predicting policy support

Predictors	Policy support
	Estimates	CI	P
(Intercept)	5.34	5.30 to 5.39	<0.001
County population	−0.01	−0.05 to 0.03	0.559
County median age	−0.04	−0.06 to −0.02	<0.001
County median income	−0.01	−0.03 to 0.02	0.571
County percent female	−0.02	−0.04 to −0.00	0.018
County percent White	−0.04	−0.13 to 0.05	0.429
County percent Black	−0.08	−0.15 to −0.01	0.024
County percent Asian American	−0.02	−0.07 to 0.03	0.385
County percent race other	−0.06	−0.11 to −0.02	0.004
County percent Hispanic	−0.01	−0.04 to 0.02	0.448
County per capita police killings	0.02	0.00 to 0.04	0.035
County per capita police killings of African Americans	−0.01	−0.03 to 0.00	0.112
Gender	−0.00	−0.02 to 0.01	0.847
Age	−0.21	−0.23 to −0.19	<0.001
Education	0.15	0.14 to −0.17	<0.001
Employment	−0.10	−0.12 to −0.08	<0.001
Protest type D1 (violent and nonviolent protests vs. no protests)	−0.10	−0.21 to 0.00	0.059
Protest type D2 (violent and nonviolent protests vs. nonviolent)	−0.01	−0.07 to 0.04	0.621
Trump vote share	−0.12	−0.18 to −0.07	<0.001
Political ideology	−1.36	−1.40 to −1.33	<0.001
Protest type d1 ×Trump vote share	0.06	−0.02 to 0.15	0.144
Protest type d2 × Trump vote share	0.06	0.00 to 0.12	0.046
Protest type d1 × political ideology	−0.01	−0.10 to 0.09	0.908
Protest type d2 × political ideology	0.02	−0.02 to 0.06	0.343
Trump vote share × political ideology	−0.04	−0.08 to −0.00	0.026
Protest type d1 × Trump vote share × political ideology	0.14	0.06 to 0.22	<0.001
Protest type d2 × Trump vote share × political ideology	0.10	0.05 to 0.14	<0.001
Random effects
σ2	2.87
T00 countyfips	0.01
ICC	0.01
Ncountyfips	2,541
Observations	43,891
Marginal R2/conditional R2	0.413/0.416

Bold effects indicate statistical significance at P < .05