Table 4.
Effectiveness of relief programs.
| Outcome variable: number of COVID-19-driven shocks | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Any program |
Savings |
House mate |
Charity |
Family/friend |
Job keeper/seeker |
Intl. student fund |
Rent relief |
Super |
|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
| Effective support | −0.590⁎⁎⁎ | −0.438⁎⁎ | −0.639 | −0.793 | −0.522⁎ | −0.600⁎⁎ | −1.322⁎⁎⁎ | −0.431 | −0.364 |
| (0.163) | (0.218) | (0.601) | (1.249) | (0.316) | (0.237) | (0.483) | (0.439) | (0.411) | |
| Controls | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| N | 979 | 979 | 925 | 865 | 874 | 876 | 977 | 979 | 850 |
| Brant test | 0.278 | 0.237 | 0.198 | 0.212 | 0.256 | 0.215 | 0.189 | 0.231 | 0.197 |
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: 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. All regressions include the following controls: gender, age, income, visa holders, casual workers. Columns (1)–(9) indicate the group of individuals who received support from each specific program.