Table 3.
The role of social support in mediating COVID-19 driven shocks.
| All shocks |
Work |
Income |
Mental health |
Housing |
Living cost |
Used charity |
Pawn/sold |
Skipped meals |
Rent payment |
|
|---|---|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | |
| Social support | −0.466⁎⁎⁎ | −0.159⁎⁎⁎ | −0.344⁎⁎⁎ | 0.026 | 0.076 | −0.778⁎⁎⁎ | −0.448⁎⁎ | −0.626⁎⁎⁎ | −0.861⁎⁎⁎ | −0.695⁎⁎⁎ |
| (0.127) | (0.070) | (0.121) | (0.152) | (0.154) | (0.141) | (0.228) | (0.184) | (0.189) | (0.188) | |
| Sector FE | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Controls | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| N | 979 | 850 | 977 | 978 | 979 | 718 | 925 | 865 | 874 | 876 |
| Brant test | 0.254 | 0.378 | 0.190 | 0.245 | 0.216 | 0.301 | 0.267 | 0.510 | 0.210 | 0.190 |
Note: Ordered logit regressions. The variable “All shocks” measures the number of COVID-19-driven shocks comprising of: 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. The set of controls include: gender, age, income, visa holders, casual workers.