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Table 2 Decomposition estimates

From: Measuring and explaining changing patterns of inequality in institutional deliveries between urban and rural women in Ghana: a decomposition analysis

 

a: Combined Data

b: 2003 Data

c: 2008 Data

d: 2014 Data

Coefficient

Percentage

Coefficient

Percentage

Coefficient

Percentage

Coefficient

Percentage

 

Oaxaca Decomposition: Weight = 1

Explained Component

0.234a

72.3

0.306a

65.3

0.300a

75.3

0.192a

68.9

Unexplained Component

0.136a

42

0.159a

34

0.204a

51.1

0.122a

43.7

Interaction

−0.046

−14.3

0.003

0.7

−0.105a

−26.4

− 0.035

−12.6

Total

0.324a

100

0.468a

100

0.399a

100

0.278

100

 

Blinder Decomposition: Weight = 0

Explained Component

0.189a

58.1

0.309a

66

0.195a

48.9

0.156a

56.2

Unexplained Component

0.089a

27.6

0.162a

34.7

0.099a

24.7

0.087a

31.1

Interaction

0.046

14.3

−0.003

−0.7

0.105

26.4

0.035

12.6

Total

0.324a

100

0.468a

100

0.399a

100

0.278

100

Explained Component

Reimers Decomposition: Weight = 0.5

0.214a

66.3

0.319a

68.2

0.254a

63.6

0.177a

63.7

Advantage

0.038a

11.8

0.071a

15.2

0.043a

10.7

0.035a

12.4

Disadvantage

0.071a

21.9

0.077a

16.6

0.102a

25.6

0.067a

23.9

Total

0.324a

100

0.468a

100

0.399a

100

0.278

100

 

Cotton Decomposition

Weight = 0.60

Weight = 0.68

Weight = 0.66

Weight = 0.57

Explained Component

0.209a

64.7

0.318a

67.95

0.237a

59.4

0.174a

62

Advantage

0.029a

9.1

0.043a

9.1

0.029a

7.3

0.028a

10

Disadvantage

0.085a

26.2

0.108a

22.9

0.133a

33.3

0.077a

28

Total

0.324a

100

0.468a

100

0.399a

100

0.278a

100

  1. aSignificant at the 5% level