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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.