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

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

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

  1. Note.∗p<0.05;∗∗p<0.01