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Table 1 Details of all variables used for analysis to backfill missing data

From: The human right to safely give birth: data from 193 countries show that gender equality does affect maternal mortality

No.

Variablesa

Missing data (n = 193) (%)

Variable name used in SEMb

Missing data after backfilling (%)

1

Literacy rate

21.76

NA

 

2

Main variable:

 Primary education attainment

29.53

Primary education attainment

2.07

Proxy variables:

 Secondary enrolment—gross

5.18

 Secondary enrolment—net

11.92

 Progression to secondary school

16.58

3

Main variable:

 Post-secondary education attainment

25.91

Secondary education attainment

6.22

Proxy variables:

 Upper secondary education attainment

25.39

 Lower secondary education completion

25.91

 Tertiary school enrolment—gross

10.36

 Education attainment—short tertiary

25.39

4

Main variable:

 Education attainment—short tertiary

25.39

Tertiary education attainment

23.83

Proxy variables:

 Education attainment—bachelor’s

49.74

 Education attainment—master’s

54.40

 Education attainment—doctoral

62.18

5

Main variable:

 Firms with female ownership

25.39

Leadership participation

12.44

Proxy variables:

 Households with a female head

62.69

 Firms with a female in senior or middle management

50.26

 Firms with females at top management

34.20

6

Main variable:

 Child marriage

41.28

Child marriage

22.15

Proxy variables:

 Married before 18 years of age

36.27

 Married before 15 years of age

36.27

7

Wage and salaried workers

8.29

NA

8.29

8

Female employers

8.29

NA

8.29

9

Vulnerable employment

8.29

NA

8.29

10

Female representation in parliament

0.52

NA

0.52

11

Intimate partner violence

44.04

NA

44.04

12

Maternal mortality rate

6.74

NA

6.74

  1. a Variables used to backfill missing data; b The variable name used in the structural equation model (SEM) after backfilling data from proxy variables; NA = Not applicable