A distributional regression approach to income-related inequality of health in Australia

Table 2 Linear effects on log(μ) and log(s) for the transformed health variable

Variable	log(μ)	log(s)
log(Income)	−0.043^∗∗	−0.002
Indigenous	0.067^∗∗	0.019
Age	0.003^∗∗	−0.005^∗∗
Age squared	0.000^∗∗	0.000^∗∗
Children 0-4	−0.072^∗∗	0.017
Children 5-14	−0.021^∗∗	−0.013
Managers & professionals	−0.023^∗	0.020
Manual workers	0.036^∗	0.033
Unemployed	0.133^∗∗	−0.003
Not in labour force	0.183^∗∗	−0.063^∗∗
Smoking	0.058^∗∗	−0.007
Very good sleep quality	−0.154^∗∗	0.263^∗∗
Fairly bad sleep quality	0.143^∗∗	−0.050^∗∗
Very bad sleep quality	0.233^∗∗	−0.144^∗∗
Not reported	0.142^∗∗	0.028
Almost always stressed	0.150^∗∗	−0.060^∗∗
Often stressed	0.089^∗∗	−0.034^∗
Rarely stressed	−0.099^∗∗	0.190^∗∗
Never stressed	−0.163^∗∗	0.587^∗∗
Life satisfaction	−0.069^∗∗	0.087^∗∗
Very satisfied with weight	−0.084^∗∗	0.159^∗∗
Satisfied with weight	−0.027^∗	0.033^∗
Dissatisfied with weight	0.031^∗∗	−0.100^∗∗
Very dissatisfied with weight	0.121^∗∗	−0.135^∗∗
No physical activity	0.193^∗∗	−0.183^∗∗
Some physical activity	0.081^∗∗	−0.150^∗∗
Constant	−1.074^∗∗	−1.097^∗∗
Global deviance	-26,109.42
AIC	-26,001.42
BIC	-25,591.15

ISSN: 1475-9276