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Table 3 Decomposition results: illustrative example for reports of recent illness

From: Measuring and decomposing inequity in self-reported morbidity and self-assessed health in Thailand

(Col 1) (Col 2) (Col 3) (Col 4) (Col 5) (Col 6) (Col 7)
Determinant Marginal effect Weighted proportion Concentration Index (C k ) Deterministic contribution C recentillness -0.099 Unadjusted percentage contribution Adjusted percentage contribution
Demographic characteristics       
Age-sex       
   Males aged 30–44 0.058*** 0.144 0.085 0.003 -2.2  
   Males aged 45–59 0.146*** 0.103 0.045 0.003 -2.1  
   Males aged 60+ 0.302*** 0.061 -0.197 -0.016 11.3 (8.6%)
   Females aged 15–29 0.062*** 0.170 0.032 0.002 -1.1  
   Females aged 30–44 0.161*** 0.176 0.054 0.007 -4.7  
   Females aged 45–59 0.245*** 0.123 -0.008 -0.001 0.7 (0.5%)
   Females aged 60+ 0.403*** 0.079 -0.186 -0.026 18.3 (13.9%)
    Subtotal -0.029 20.2% (23.0%)
Household type       
   One-person male household 0.067** 0.023 0.156 0.001 -0.7  
   One-person female household 0.087*** 0.022 -0.104 -0.001 0.6 (0.5%)
   Household with children (no elderly) -0.012 0.279 -0.025 0.001 -0.4  
   Household with elderly -0.037** 0.209 -0.121 0.004 -2.9  
   Household with dependents only -0.020 0.047 -0.259 0.001 -0.8  
    Subtotal 0.006 -4.2% (0.5%)
Socioeconomic characteristics       
Income       
   Income quintile 1 – lowest 20% 0.031* 0.236 -0.848 -0.028 19.4 (14.7%)
   Income quintile 2 – lower 20% 0.032* 0.211 -0.365 -0.011 7.5 (5.7%)
   Income quintile 3 – middle 20% 0.001 0.181 0.037 0.000 0.0  
   Income quintile 4 – higher 20% 0.018 0.188 0.420 0.006 -4.3  
Education       
   Education: primary level 0.052*** 0.641 -0.141 -0.021 14.6 (11.1%)
   Education: secondary level 0.015 0.258 0.134 0.002 -1.6  
Work status       
   Work: agriculture and fishery -0.009 0.295 -0.424 0.005 -3.7  
   Work: elementary occupation -0.029* 0.090 0.057 -0.001 0.4 (0.3%)
   Not in workforce: housewife -0.033* 0.081 -0.049 0.001 -0.4  
   Not in workforce: disabled 0.250*** 0.015 -0.320 -0.006 3.8 (2.9%)
   Not in workforce: others -0.010 0.164 -0.169 0.001 -0.8  
    Subtotal -0.050 34.9% (34.8%)
Geographic characteristics       
   Bangkok 0.016 0.139 0.508 0.005 -3.5  
   Rural Central 0.041* 0.142 0.097 0.002 -1.7  
   Urban North 0.112*** 0.041 0.031 0.001 -0.4  
   Rural North 0.142*** 0.154 -0.380 -0.037 25.7 (19.5%)
   Urban Northeast 0.004 0.055 0.028 0.000 0.0  
   Rural Northeast 0.039* 0.286 -0.825 -0.041 28.4 (21.6%)
   Urban South 0.063** 0.024 0.068 0.000 -0.3  
   Rural South 0.079*** 0.086 -0.043 -0.001 0.9 (0.7%)
    Subtotal -0.071 49.1% (41.8%)
   Residual (unexplained) 0.045   
  1. Note: Reference groups were males aged 15–29; household with no dependent; income quintile 5; work status: others including professionals, technicians, or service workers; and urban Central excluding Bangkok. Readers could calculate the contributions of determinants for other health outcomes according to Equation 3 by using means and concentration indices of determinants provided in Table 1 and marginal effects provided in Table 2.
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