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Table 5 Contributions of socioeconomic factors to inequality in suspected developmental delay

From: Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis

 

Mean

\( {\overline{x}}_k \)

Marginal effect

β k

Elasticity

\( {\beta}_k{\overline{x}}_k/\mu \)

Concentration index

c k

Contribution

\( \left({\beta}_k{\overline{x}}_k/\mu \right){c}_k \)

Contribution rate (%)

\( \frac{\left({\beta}_k{\overline{x}}_k\right)/\mu }{c}{c}_k\times 100\% \)

Household

 Live in Guizhou

0.5014

0.0247

0.0332

−0.1302

−0.0043

4.9

 Per capita net income (1000 CNY)

3.6730

−0.0054

−0.0532

0.5623

−0.0299

34.1

Caregiver

 Middle school or above

0.6835

−0.0366

−0.0670

0.0868

−0.0058

6.6

 Depression

0.3896

0.1734

0.1811

−0.0682

−0.0123

14.1

Child

 Age (month)

18.5693

−0.0125

−0.6223

0.0011

−0.0007

0.8

 Male

0.5679

0.0383

0.0583

−0.0082

−0.0005

0.5

 Stunting

0.1363

0.0569

0.0208

−0.1062

−0.0022

2.5

 Wasting

0.0340

0.0831

0.0076

−0.0747

−0.0006

0.6

 Learning material

0.8981

−0.1364

−0.3284

0.0238

−0.0078

8.9

 Support for learning

0.8575

−0.0844

−0.1941

0.0318

−0.0062

7.0

  1. u, c represent the prevalence and concentration index of suspected developmental delay, respectively