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Table 5 Probability of determinants on reporting health outcome variables

From: Explaining household socio-economic related child health inequalities using multiple methods in three diverse settings in South Africa

Determinants

Infant mortality (<9 months)

HIV transmission

Immunisation at 24 weeks

Household socioeconomic position

   

Very poor

0.0173

0.0144

0.00708

 

(0.0318)

(0.0696)

(0.0608)

Poor

0.00835

0.00536

-0.0431

 

(0.0351)

(0.0761)

(0.0684)

Less poor

0.0124

0.00404

0.0708

 

(0.0369)

(0.0775)

(0.0679)

Least poor

-0.00415

-0.0322

0.0284

 

(0.0382)

(0.0816)

(0.0761)

Maternal education

   

Secondary

0.0620

-0.0164

-0.0975

 

(0.0390)

(0.0738)

(0.0743)

Matric

0.124

-0.0209

-0.0613

 

(0.0952)

(0.0819)

(0.0911)

Marital status

   

married

-0.0172

-0.0852*

0.0368

 

(0.0216)

(0.0511)

(0.0523)

Site

   

Rural area

0.0908**

0.227***

-0.434***

 

(0.0419)

(0.0779)

(0.0587)

Peri urban township area

0.0252

0.0775

-0.211***

 

(0.0276)

(0.0556)

(0.0537)

Maternal age

   

21-30

0.00570

-0.0447

0.0866*

 

(0.0234)

(0.0601)

(0.0506)

>30

-0.00321

-0.0360

0.0335

 

(0.0316)

(0.0686)

(0.0625)

Household income

   

(R/month)

-2.25e-06

2.83e-05

-1.92e-06

 

(6.73e-06)

(2.32e-05)

(1.53e-05)

Observations

692

432

642

  1. Robust standard errors in parentheses
  2. *** p < 0.01, ** p < 0.05, * p < 0.1
  3. The marginal effects demonstrate associations between explanatory variables and health outcomes. Those with positive signs indicate positive associations with the probability of child mortality/complete immunisation at 24 weeks/HIV transmission. The negative signs indicate negative associations. Furthermore, the larger the absolute value of a marginal effect, more substantial is the association. Reference groups were most poor households, primary education, non-married women, peri-urban farm area and women aged < = 20.