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. 2021 Jan 4;34(2):655–689. doi: 10.1007/s00148-020-00821-2

Table 5.

Financial wellbeing: any COVID-19 shocks inter-percentile range

(1) (2) (3) (4) (5) (6)
I(90-10) I(50-10) I(90-50) I(75-25) I(50-25) I(75-50)
Any shock 13.520** 2.612 10.907** 4.172 3.644 0.528
(5.084) (4.647) (3.567) (3.837) (3.649) (3.038)
Household size − 1.427 − 0.858 − 0.570 − 1.657 − 1.009 − 0.649
(1.710) (1.576) (1.205) (1.323) (1.192) (1.036)
Male − 3.897 − 3.687 − 0.210 − 2.511 − 1.884 − 0.627
(4.555) (4.134) (4.015) (4.569) (4.035) (3.301)
Age group:
  18–24 -- -- -- -- -- --
  25–34 − 9.057 − 9.869 0.812 − 2.887 − 2.236 − 0.651
(8.319) (6.987) (7.078) (6.527) (6.157) (5.990)
  35–44 0.763 − 6.806 7.569 11.773 2.564 9.209
(8.439) (7.285) (6.885) (7.571) (6.928) (5.408)
  45–54 1.463 − 2.544 4.007 10.102 1.503 8.599
(8.817) (7.443) (6.527) (6.187) (5.633) (5.161)
  55–64 − 0.863 − 8.799 7.935 2.824 − 4.224 7.048
(9.157) (7.250) (7.793) (6.769) (6.156) (5.945)
Occupation/activity:
  Unemployed -- -- -- -- -- --
  Managers − 3.570 − 9.996 6.426 − 5.045 − 6.835 1.790
(10.137) (8.192) (7.329) (7.826) (6.161) (5.284)
  Professionals − 8.134 − 5.613 − 2.521 − 4.426 − 8.308 3.882
(8.432) (7.896) (5.078) (6.684) (5.543) (4.434)
  Trades workers 10.797 0.078 10.719 − 2.163 − 2.948 0.785
(11.399) (9.810) (8.343) (8.456) (7.021) (6.771)
  Personal service 3.707 − 1.981 5.688 − 3.785 − 7.607 3.822
(11.518) (9.357) (7.472) (8.149) (6.702) (5.291)
  Clerical − 18.798* − 7.624 − 11.174 − 10.926 − 6.565 − 4.361
(8.363) (8.776) (6.361) (8.324) (6.379) (6.212)
  Sales 5.224 0.487 4.737 − 2.942 − 1.581 − 1.361
(12.897) (10.803) (7.617) (8.935) (7.408) (5.709)
  Machinery ops − 18.839* − 7.765 − 11.073 − 27.052** − 19.928* − 7.124
(9.490) (11.794) (8.471) (9.597) (9.339) (7.495)
  Labourers − 34.363*** − 34.313*** − 0.050 −26.552* − 25.998* − 0.554
(8.799) (9.925) (6.378) (11.504) (12.233) (6.529)
  Not stated − 8.941 − 7.578 − 1.363 − 7.836 − 11.969 4.133
(9.600) (9.795) (6.257) (8.514) (7.665) (4.457)
State:
  Australian Capital Territory 10.250 6.528 3.722 7.067 4.646 2.422
(18.216) (8.647) (16.968) (14.514) (5.952) (14.222)
  New South Wales − 5.841 − 10.771 4.930 − 6.627 − 10.878 4.252
(10.187) (8.917) (10.628) (9.360) (7.371) (9.816)
  Northern Territory 28.934 − 11.399 40.333 28.287* 0.459 27.828**
(35.057) (19.482) (22.500) (14.357) (10.489) (9.117)
  Queensland 15.070 − 1.202 16.271 18.425 12.672 5.753
(11.221) (8.937) (10.489) (11.009) (7.492) (9.102)
  South Australia 11.189 − 1.020 12.209 22.402 13.557 8.845
(19.240) (12.993) (16.240) (14.580) (9.414) (10.609)
  Tasmania 32.801 19.122 13.679 37.938* 20.178 17.761*
(37.684) (31.589) (13.130) (17.926) (14.718) (8.142)
  Victoria -- -- -- -- -- --
  Western Australia − 15.393 − 18.426* 3.033 3.738 − 7.411 11.149
(10.306) (9.133) (9.908) (11.111) (8.523) (8.208)
Week of year − 1.841 − 1.732 − 0.109 − 0.338 − 0.962 0.624
(0.978) (0.906) (0.841) (0.914) (0.741) (0.885)
State x time trend interactions:
  Australian Capital Territory # Week 2.071 2.282 −0.211 1.753 2.238 −0.486
(2.904) (2.021) (2.408) (2.106) (1.165) (1.870)
  New South Wales # Week 1.655 1.508 0.147 1.266 1.108 0.158
(1.599) (1.460) (1.532) (1.446) (1.207) (1.417)
  Northern Territory # Week − 3.859 1.876 − 5.735 − 3.740 0.777 − 4.517*
(6.224) (4.333) (3.403) (3.203) (2.633) (1.921)
  Queensland # Week − 1.246 0.624 − 1.870 − 0.263 − 0.435 0.172
(1.544) (1.352) (1.649) (1.843) (1.201) (1.500)
  South Australia # Week 0.826 1.793 − 0.967 − 2.319 − 1.465 − 0.854
(3.014) (2.195) (2.626) (2.360) (1.677) (1.853)
  Tasmania # Week − 0.772 0.704 − 1.476 − 3.393 − 0.669 − 2.724
(5.233) (4.541) (1.893) (2.616) (2.256) (1.665)
  Victoria # Week -- -- -- -- -- --
  Western Australia # Week 3.324 2.744 0.580 0.294 1.672 −1.377
(1.950) (1.654) (1.628) (1.803) (1.425) (1.333)
Constant 82.697*** 62.839*** 19.857* 38.337*** 34.716*** 3.620
(12.589) (11.602) (9.679) (11.278) (9.535) (9.828)
Adj. R2 .087 .054 .070 .099 .080 .055

Note: N = 2078. *p < 0.05, **p < 0.01, ***p < 0.001

Statistics are population weighted using data from the 2016 Australian Census, based on age, gender, occupation, and state