Table 2.
COVID-19 impact disparities by race and ideology
| Independent variable | ||||
|---|---|---|---|---|
| Impact (DV) | Intercept | Black | Ideology | Interaction |
| Directa | ||||
| Diagnosed | – | 3.07** | 1.15** | 0.85 |
| Unemployedb | – | 2.36** | 1.07 | 0.76 |
| Perceived | ||||
| Economy | 2.93** | − 0.10** | − 0.00 | 0.01 |
| Health | 2.54** | 0.19** | 0.14** | − 0.12** |
| Seriousness | 1.87** | 0.29** | 0.19** | − 0.16** |
| Political | ||||
| President | 2.12** | − 0.63** | − 0.44** | 0.27** |
| Federal | 2.00** | − 0.09 | − 0.18** | 0.06 |
| Governor | 2.48** | 0.71** | 0.38** | − 0.24** |
| State | 2.13** | 0.53** | 0.13** | − 0.12* |
| Local | 2.53** | 0.38** | 0.09** | − 0.07 |
| Behavioral | ||||
| Mask | 2.86** | 0.48** | 0.16** | − 0.07 |
| Stay-at-home | 2.34** | 0.35** | 0.24** | − 0.19** |
Rows represent separate models (DVs), and columns represent independent variable effects. All models control for sex, age, age2, and education.
**P < 0.01, *P < 0.05
aBinary outcomes; reported values are odds ratios
bEstimated on subsample of 446 who were employed pre-COVID