Table 7.
Heterogeneity analyses.
| Y=Psychological distress |
|||||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Panel A: Stages of Pandemic and Political Affiliations | |||||
| Upswing of | Downswing of | Republican in | Democrat in | ||
| Pandemic | Pandemic | 2016 Election | 2016 Election | ||
| COVID-19 mortality rate | 0.404** | 0.104** | 0.085*** | 0.067*** | |
| (0.185) | (0.022) | (0.032) | (0.020) | ||
| Observations | 38,306 | 66,319 | 82,873 | 72,834 | |
| Panel B: Race and Gender | |||||
| White | Hispanic | Black | Male | Female | |
| COVID-19 mortality rate | 0.095*** | 0.014 | 0.075 | 0.065** | 0.101*** |
| (0.020) | (0.040) | (0.049) | (0.031) | (0.023) | |
| Observations | 125,656 | 8,740 | 7,901 | 64,230 | 86,636 |
Note: Our main explanatory variable, COVID-19 Mortality Rate, is the total number of people in the state who have died as a result of COVID-19 a week from the survey start date, divided by the state's population, and multiplied by 10,000. For each panel in the table, each column represents a separate regression and the column heading indicates the dimension of heterogeneity. The dependent variable is Psychological Distress. All regressions are the most extensive individual fixed effects specifications. Robust standard errors are clustered at the state-by-week level. Sampling weights are used since the unweighted estimates may be biased in the presence of endogenous sampling. , **, ***.