Table 3.
Predictors | Policy support | ||
---|---|---|---|
Estimates | CI | P | |
(Intercept) | 5.42 | 5.38 to 5.47 | <0.001 |
County total population | −0.01 | −0.05 to 0.04 | 0.728 |
County median income | −0.00 | −0.04 to 0.03 | 0.884 |
County percent female | −0.10 | −0.13 to −0.06 | <0.001 |
County percent White | 0.06 | −0.01 to 0.13 | 0.099 |
County percent African American | 0.03 | −0.02 to 0.09 | 0.245 |
County percent Asian American | 0.02 | −0.03 to 0.07 | 0.420 |
County percent Hispanic | −0.09 | −0.13 to −0.05 | <0.001 |
County per capita police killings | 0.03 | 0.00 to 0.06 | 0.026 |
County per capita police killings of African Americans | −0.02 | −0.03 to −0.00 | 0.010 |
Gender | −0.00 | −0.02 to 0.02 | 0.997 |
Employment | −0.02 | −0.03 to 0.00 | 0.059 |
Education | 0.17 | 0.15 to 0.19 | <0.001 |
Protest type: Violent vs. nonviolent only | −0.03 | −0.09 to 0.03 | 0.397 |
Trump vote share | −0.12 | −0.18 to −0.07 | <0.001 |
Political ideology | −1.40 | −1.43 to −1.37 | <0.001 |
Protest type × Trump vote share | 0.02 | −0.04 to 0.08 | 0.467 |
Protest type × political ideology | 0.00 | −0.04 to 0.04 | 0.940 |
Trump vote share × political ideology | −0.05 | −0.08 to −0.01 | 0.003 |
Protest type × Trump vote share × political ideology | 0.11 | 0.07 to 0.15 | <0.001 |
Random effects | |||
σ2 | 2.40 | ||
T 00 countyfips | 0.02 | ||
ICC | 0.01 | ||
Ncountyfips | 1,325 | ||
Observations | 38,520 | ||
Marginal R2/conditional R2 | 0.456/0.462 |
Bold effects indicate statistical significance at P < .05