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Table 5 Probit and ordinary least squares models predicting determinants of marital-age preferences and attitudes approving child marriage among unmarried females aged 15–24, 2012 Indonesian Adolescent Reproductive Health Survey

From: An empirical exploration of female child marriage determinants in Indonesia

 

Martial-age preferences (years)

Attitudes approving child marriage (< 18 years)

Age splines (years, base = age 15)

(A)

(B)

Age 16 (years)

0.17

−0.01

(0.11)

(0.01)

Age 17 (years)

0.30

0.00

(0.11)***

(0.01)

Age 18 (years)

0.22

0.01

(0.12)*

(0.01)

Age 19 (years)

0.44

−0.01

(0.12)***

(0.01)

Age 20 (years)

0.67

0.00

(0.12)***

(0.01)

Age > 21 (years)

0.97

0.01

Education (base = some or complete secondary)

(0.10)***

(0.01)

No education

−0.27

0.02

(0.44)

(0.03)

Some or complete elementary education

−0.79

0.03

(0.10)***

(0.01)***

> secondary education

0.43

−0.03

(0.07)***

(0.01)***

Wealth quintile 2 (base = quintile 1)

−0.04

−0.01

(0.09)

(0.01)**

Wealth quintile 3

0.04

−0.02

(0.09)

(0.01)***

Wealth quintile 4

0.14

−0.03

(0.10)

(0.01)***

Wealth quintile 5

0.19

−0.04

(0.10)**

(0.01)***

Listens to radio at least once a week

0.01

0.00

(0.06)

(0.01)

Reads newspaper or magazine at least once a week

0.11

0.01

(0.06)*

(0.01)

Watches TV at least once a week

−0.04

−0.00

(0.08)

(0.01)

Rural (base = urban)

−0.21

0.02

(0.06)***

(0.01)***

Adjusted for provincial fixed effects

Yes

Yes

χ2-stat provincial fixed effects (p-value)

7.45 (0.000)

117.50 (0.000)

χ2-stat education indicators (p-value)

56.22 (0.000)

88.70 (0.000)

χ2-stat media exposure indicators (p-value)

1.02 (0.384)

2.41 (0.492)

Sample size

8779

8779

R2 / Pseudo-R2

0.11

0.12

  1. Notes: Coefficients for marital-age preferences models are from ordinary least squares regression models and coefficients for attitudes approving child marriage (< 18 years) are from probit models reported as marginal effects. Standard errors in parenthesis clustered at the primary-sampling unit (PSU) level. * p < 0.1 ** p < 0.05; *** p < 0.01. Wealth quintiles are pre-computed in the ARH using principle component analysis and a range of household-level durable asset ownership and housing quality indicators