Table 2

 Self rated health regressed on independent variables (random intercept models): men

VariableModel 1Model 2Model 3Model 4
bSEbSEbSEbSE
Age−0.021(0.001)−0.021(0.001)−0.021(0.001)
Marital status
    Not marriedrefrefref
    Married0.061(0.028)0.062(0.028)0.063(0.028)
Type of settlement
    Urbanrefrefref
    Urban-rural0.024(0.070)0.031(0.071)0.056(0.070)
    Rural0.054(0.042)0.069(0.045)0.103(0.046)
Education
    1refrefref
    2−0.068(0.038)−0.068(0.038)−0.068(0.038)
    3−0.112(0.038)−0.113(0.038)−0.115(0.038)
    4−0.147(0.041)−0.149(0.041)−0.150(0.041)
    5−0.076(0.039)−0.079(0.039)−0.074(0.039)
    6−0.130(0.042)−0.134(0.042)−0.134(0.042)
Household income (ln)−0.011(0.007)−0.011(0.007)
Mean household income (ln)0.071(0.059)0.057(0.051)
Income distribution (Gini)7.221(2.605)
Income distribution (Gini) (squared)−8.617(2.886)
Intercept3.192(0.024)4.146(0.047)3.752(0.381)2.367(0.653)
Variance components
    Region (PSU)0.013(0.005)0.011(0.004)0.011(0.004)0.006(0.003)
    Population centre0.000(0.000)0.000(0.000)0.000(0.000)0.000(0.000)
    Census district0.021(0.007)0.019(0.005)0.018(0.005)0.019(0.005)
    Family0.000(0.000)0.025(0.018)0.026(0.018)0.025(0.018)
    Individual0.535(0.014)0.390(0.020)0.389(0.020)0.390(0.020)
    Total variance0.5690.4450.4440.440
Variance explained by region (PSU)2.28%2.47%2.48%1.36%
−2×loglikelihood7458.586633.216629.516619.28
n = 3306n = 3306n = 3306n = 3306