Table 5.
Factors mitigating COVID-19 shocks.
| Outcome variable: number of COVID-19-driven shocks | ||||||
|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | |
| Government support | −0.692*** | −0.711*** | −0.510** | −0.668*** | −0.597*** | −0.461* |
| (0.213) | (0.213) | (0.227) | (0.223) | (0.213) | (0.241) | |
| Social support | −0.310* | −0.336* | −0.202 | −0.165 | −0.235 | −0.085 |
| (0.183) | (0.188) | (0.178) | (0.188) | (0.180) | (0.185) | |
| Income | −0.108** | −0.117** | −0.083 | −0.045 | −0.107* | −0.049 |
| (0.055) | (0.054) | (0.055) | (0.058) | (0.055) | (0.059) | |
| Education | 0.034 | 0.069 | ||||
| (0.054) | (0.054) | |||||
| Savings | −0.001*** | −0.001*** | ||||
| (0.000) | (0.000) | |||||
| Good mental health | −0.473*** | −0.387*** | ||||
| (0.093) | (0.094) | |||||
| Low debt | 1.210*** | 0.861*** | ||||
| (0.251) | (0.245) | |||||
| Young | 0.636** | 0.695*** | 0.566** | 0.650** | 0.614** | 0.649*** |
| (0.265) | (0.252) | (0.262) | (0.253) | (0.250) | (0.228) | |
| Visa holder | 0.610*** | 0.561*** | 0.384* | 0.892*** | 0.553*** | 0.481** |
| (0.205) | (0.216) | (0.202) | (0.216) | (0.210) | (0.226) | |
| Female | −0.054 | −0.083 | −0.011 | −0.153 | −0.087 | −0.183 |
| (0.210) | (0.208) | (0.205) | (0.218) | (0.209) | (0.210) | |
| N | 428 | 427 | 428 | 428 | 428 | 428 |
| Brant test | 0.256 | 0.312 | 0.217 | 0.194 | 0.321 | 0.295 |
Notes: Ordered logit regressions. * indicates statistical significance at the 10% level, ** indicates statistical significance at the 5% level, *** indicates statistical significance at the 1% level. The dependent variable measures the number of COVID-19-driven shocks comprising of the sum of the following shocks: work-related shocks (working less hours/job loss); lower income, worse mental health, change in housing arrangement, financial hardship, difficulty in paying rent. Standard errors are clustered at the postcode level.