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. 2021 Mar 18;7(3):e06507. doi: 10.1016/j.heliyon.2021.e06507

Table 3.

Marginal effects of the multinomial logit regression model of health insurance schemes.

Model
I
II
III
Independent variables Scheme B Scheme C Scheme B Scheme C Scheme B Scheme C
Age -0.03 0.08∗∗∗ -0.01 0.08∗∗∗ 0.11∗∗∗ -0.03∗
Education level 0.05∗∗∗ -0.07∗∗∗ 0.06∗∗∗ -0.09∗∗∗ 0.05∗∗∗ -0.08∗∗∗
Working sector -0.29∗∗∗ 0.27∗∗∗ -0.30∗∗∗ 0.27∗∗∗ -0.26∗∗∗ 0.24∗∗∗
Household income -0.44∗∗∗ 0.40∗∗∗ -0.43∗∗∗ 0.38∗∗∗ -0.38∗∗∗ 0.33∗∗∗
Household children 0.10∗∗∗ -0.07∗∗ 0.12∗∗∗ -0.06∗∗ 0.32∗∗∗ -0.22∗∗∗
Chronic illness 0.26∗∗∗ -0.25∗∗∗ 0.26∗∗∗ -0.25∗∗∗ 0.32∗∗∗ -0.27∗∗∗
Family size 0.40∗∗∗ -0.38∗∗∗ 0.40∗∗∗ -0.37∗∗∗
Family health status -0.05∗ 0.02 -0.07∗∗ 0.02
Health expenditure -0.01 -0.01 -0.01 0.00
Marital status -0.02 -0.01 -0.02 -0.02
Acute illness 0.02 0.05
Be aware of health insurance 0.06∗ -0.08∗∗∗
Urban district -0.04∗ 0.03
Health priority 0.07∗ -0.02

∗, ∗∗, and ∗∗∗ indicate p < 0.05, p < 0.01, p < 0.001 significant levels, and non-significant, respectively (Z-test).

B (Compulsory scheme) and C (voluntary scheme).

Note: Out-of-pocket was select as the base outcome.