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Table 10 Adjusted SES gradients in child development by region with IPW adjustments for missing data

From: Measuring socioeconomic gaps in nutrition and early child development in Bolivia

 

Height for age z-score

Weight for age z-score

Weight for height z-score

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

0.298*** (0.054)

0.240*** (0.086)

0.209*** (0.075)

0.302*** (0.095)

0.237*** (0.046)

0.193** (0.081)

0.267*** (0.069)

0.167** (0.075)

0.080* (0.045)

0.083 (0.066)

0.184** (0.080)

-0.023 (0.096)

Quintile 3 = 1

0.626*** (0.052)

0.417*** (0.081)

0.608*** (0.071)

0.611*** (0.092)

0.449*** (0.049)

0.313*** (0.084)

0.486*** (0.079)

0.390*** (0.077)

0.113** (0.050)

0.080 (0.082)

0.198*** (0.076)

0.040 (0.104)

Quintile 4 = 1

0.766*** (0.058)

0.516*** (0.117)

0.659*** (0.085)

0.767*** (0.088)

0.539*** (0.052)

0.436*** (0.091)

0.406*** (0.082)

0.562*** (0.086)

0.160*** (0.049)

0.248** (0.105)

0.062 (0.073)

0.175 (0.108)

Quintile 5 = 1

0.941*** (0.063)

0.715*** (0.100)

0.772*** (0.084)

0.986*** (0.111)

0.691*** (0.059)

0.564*** (0.138)

0.544*** (0.088)

0.739*** (0.099)

0.212*** (0.057)

0.191 (0.148)

0.145 (0.089)

0.262** (0.108)

Female

0.119*** (0.035)

0.183*** (0.055)

0.130** (0.060)

0.040 (0.060)

0.085*** (0.030)

0.223*** (0.047)

0.063 (0.049)

-0.005 (0.056)

0.038 (0.030)

0.177*** (0.053)

0.012 (0.046)

-0.040 (0.054)

Constant

-1.278*** (0.053)

-1.599*** (0.092)

-1.327*** (0.075)

-0.800*** (0.097)

-0.573*** (0.048)

-0.781*** (0.081)

-0.565*** (0.074)

-0.304*** (0.094)

0.200*** (0.051)

0.159** (0.077)

0.247*** (0.075)

0.201 (0.126)

Observations

10,870

3,446

3,701

3,723

10,469

3,404

3,395

3,670

10,453

3,397

3,391

3,665

R-squared

0.102

0.069

0.080

0.113

0.056

0.054

0.037

0.057

0.015

0.020

0.013

0.029

 

Stunting (%)

Underweight (%)

Overweight (%)

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

-0.112*** (0.018)

-0.141*** (0.030)

-0.074*** (0.028)

-0.070** (0.033)

-0.010 (0.006)

-0.010 (0.010)

-0.017* (0.009)

-0.005 (0.013)

0.004 (0.009)

0.005 (0.014)

0.009 (0.016)

-0.008 (0.019)

Quintile 3 = 1

-0.181*** (0.016)

-0.190*** (0.031)

-0.175*** (0.024)

-0.118*** (0.026)

-0.004 (0.006)

-0.006 (0.010)

-0.001 (0.010)

-0.007 (0.010)

0.013 (0.010)

0.013 (0.017)

0.026 (0.017)

-0.009 (0.024)

Quintile 4 = 1

-0.213*** (0.017)

-0.196*** (0.037)

-0.200*** (0.025)

-0.158*** (0.030)

-0.018*** (0.005)

-0.022*** (0.007)

-0.008 (0.010)

-0.026*** (0.008)

0.020* (0.011)

0.048* (0.025)

-0.001 (0.016)

0.012 (0.025)

Quintile 5 = 1

-0.232*** (0.016)

-0.259*** (0.034)

-0.219*** (0.022)

-0.156*** (0.031)

-0.015*** (0.006)

-0.013 (0.011)

-0.018** (0.009)

-0.015 (0.010)

0.042*** (0.013)

0.050 (0.033)

0.011 (0.017)

0.055* (0.028)

Female

-0.039*** (0.011)

-0.067*** (0.025)

-0.043** (0.018)

-0.011 (0.016)

-0.012*** (0.003)

-0.017*** (0.005)

-0.012* (0.006)

-0.009 (0.006)

-0.011 (0.007)

0.012 (0.011)

-0.018 (0.012)

-0.023* (0.013)

Constant

0.323*** (0.016)

0.382*** (0.031)

0.340*** (0.022)

0.200*** (0.031)

0.042*** (0.006)

0.041*** (0.010)

0.049*** (0.011)

0.036*** (0.011)

0.067*** (0.011)

0.055*** (0.017)

0.087*** (0.015)

0.066** (0.031)

Observations

10,870

3,446

3,701

3,723

10,453

3,397

3,391

3,665

10,453

3,397

3,391

3,665

R-squared

0.052

0.054

0.052

0.031

0.008

0.010

0.012

0.007

0.004

0.009

0.004

0.012

 

Anemia (%)

VAD (%)

Iron deficiency (%)

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

-0.072*** (0.020)

-0.116*** (0.031)

-0.038 (0.032)

-0.060* (0.033)

0.082 (0.052)

-0.117 (0.084)

0.204** (0.080)

0.111 (0.110)

0.024 (0.047)

0.102 (0.078)

0.018 (0.070)

-0.094 (0.092)

Quintile 3 = 1

-0.149*** (0.024)

-0.139*** (0.046)

-0.073** (0.036)

-0.197*** (0.036)

0.060 (0.052)

-0.158** (0.068)

0.025 (0.077)

0.158 (0.104)

0.047 (0.042)

0.104 (0.085)

0.135** (0.065)

-0.065 (0.078)

Quintile 4 = 1

-0.170*** (0.025)

-0.084** (0.042)

-0.137*** (0.035)

-0.190*** (0.042)

-0.022 (0.063)

-0.183** (0.092)

-0.105* (0.060)

0.036 (0.126)

0.047 (0.050)

0.418*** (0.107)

0.088 (0.067)

-0.098 (0.095)

Quintile 5 = 1

-0.278*** (0.023)

-0.267*** (0.049)

-0.232*** (0.032)

-0.272*** (0.038)

-0.080* (0.045)

-0.182** (0.083)

-0.058 (0.061)

-0.096 (0.105)

-0.059 (0.037)

-0.022 (0.069)

-0.022 (0.053)

-0.098 (0.092)

Female

-0.054*** (0.014)

-0.085*** (0.029)

-0.057*** (0.021)

-0.028 (0.023)

-0.001 (0.030)

0.011 (0.050)

-0.005 (0.039)

-0.006 (0.059)

-0.110*** (0.031)

-0.148*** (0.055)

-0.132*** (0.043)

-0.058 (0.053)

Constant

0.813*** (0.021)

0.907*** (0.032)

0.783*** (0.029)

0.749*** (0.039)

0.454*** (0.059)

0.611*** (0.104)

0.385*** (0.082)

0.504*** (0.133)

0.349*** (0.049)

0.465*** (0.088)

0.353*** (0.070)

0.270*** (0.100)

Observations

9,414

2,894

3,205

3,315

1,590

542

530

518

1,590

542

530

518

R-squared

0.042

0.045

0.040

0.034

0.017

0.039

0.046

0.034

0.028

0.111

0.051

0.011

 

Gross motor z-score

Communication z-score

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

-0.008 (0.070)

0.023 (0.103)

-0.069 (0.092)

-0.015 (0.186)

-0.166** (0.074)

-0.178 (0.108)

-0.156 (0.108)

-0.169 (0.173)

Quintile 3 = 1

-0.007 (0.066)

0.027 (0.141)

-0.145 (0.089)

0.013 (0.111)

0.041 (0.063)

-0.031 (0.117)

0.012 (0.104)

0.078 (0.114)

Quintile 4 = 1

0.006 (0.071)

-0.025 (0.142)

-0.179 (0.121)

0.039 (0.109)

-0.083 (0.071)

0.012 (0.126)

-0.155 (0.109)

-0.129 (0.119)

Quintile 5 = 1

0.110 (0.073)

-0.014 (0.173)

-0.033 (0.101)

0.165 (0.150)

0.099 (0.078)

0.051 (0.163)

0.113 (0.101)

0.061 (0.153)

Female

-0.101** (0.041)

-0.073 (0.076)

-0.064 (0.061)

-0.154** (0.076)

0.065 (0.040)

0.055 (0.074)

0.044 (0.059)

0.096 (0.071)

Constant

-0.031 (0.062)

-0.076 (0.113)

-0.047 (0.086)

0.084 (0.134)

0.084 (0.065)

-0.034 (0.112)

-0.003 (0.100)

0.284** (0.129)

Observations

5,753

1,909

1,912

1,932

5,753

1,909

1,912

1,932

R-squared

0.006

0.002

0.015

0.013

0.012

0.008

0.014

0.040

  1. Note: ***significant at the 1% level; ** significant at the 5% level; *significant at the 10% level. SE clustered at the PSU level (census sector or segment) in parentheses. OLS Estimation. Controls include child’s sex and a set of child dummies for age categories in months (0-2, 3-5, 6-8, 9-11, 12-14, 15-17, 18-20, 21-23, 24-26, 27-29, 30-32, 33-35, 36-38, 39-41, 42-44, 45-47, 48-50, 51-53, 54-56, 57-59). Quintiles are population quintiles using monthly per capita household consumption as the ranking variable. p-value (F-test for quintile effects) is the p-value of the F-test of Q2=Q3=Q4=Q5=0.