Skip to main content

Table 7 Adjusted SES gradients in child development by subnational region: DBS Subsample

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

0.162 (0.125)

-0.087 (0.168)

0.090 (0.170)

0.562** (0.255)

0.218* (0.111)

0.080 (0.177)

0.226 (0.168)

0.336* (0.189)

0.169 (0.107)

0.146 (0.174)

0.234 (0.185)

0.074 (0.177)

Quintile 3 = 1

0.481*** (0.121)

0.155 (0.179)

0.407** (0.195)

0.612** (0.240)

0.409*** (0.107)

0.354** (0.178)

0.462** (0.181)

0.250 (0.177)

0.203* (0.104)

0.340* (0.176)

0.333** (0.167)

-0.082 (0.167)

Quintile 4 = 1

0.742*** (0.132)

0.736 (0.469)

0.360** (0.162)

0.817*** (0.231)

0.478*** (0.112)

0.491 (0.335)

0.260 (0.178)

0.410** (0.182)

0.126 (0.113)

0.154 (0.273)

0.081 (0.194)

0.011 (0.169)

Quintile 5 = 1

0.847*** (0.131)

0.526* (0.267)

0.794*** (0.184)

0.911*** (0.259)

0.686*** (0.116)

0.567** (0.217)

0.644*** (0.213)

0.603*** (0.174)

0.329** (0.136)

0.367 (0.293)

0.302 (0.241)

0.216 (0.174)

Female

0.275*** (0.073)

0.314*** (0.112)

0.177* (0.097)

0.448*** (0.135)

0.160** (0.073)

0.207 (0.140)

0.101 (0.112)

0.246* (0.128)

0.023 (0.082)

0.044 (0.147)

0.026 (0.147)

0.017 (0.134)

Constant

-0.899*** (0.119)

-1.327*** (0.187)

-0.792*** (0.157)

-0.577** (0.259)

-0.397*** (0.108)

-0.624*** (0.196)

-0.191 (0.171)

-0.333* (0.196)

0.212* (0.120)

0.263 (0.216)

0.401** (0.199)

0.030 (0.194)

Observations

1,597

544

530

523

1,553

534

502

517

1,553

534

502

517

R-squared

0.154

0.118

0.150

0.237

0.073

0.074

0.077

0.086

0.012

0.034

0.024

0.035

 

Stunting (%)

Underweight (%)

Overweight (%)

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

-0.089** (0.044)

-0.089 (0.076)

-0.063 (0.072)

-0.140 (0.086)

-0.018 (0.018)

-0.022 (0.030)

-0.036 (0.025)

0.008 (0.024)

-0.012 (0.016)

0.002 (0.026)

-0.036 (0.027)

-0.013 (0.026)

Quintile 3 = 1

-0.164*** (0.036)

-0.221*** (0.063)

-0.113* (0.066)

-0.156** (0.067)

-0.030* (0.017)

-0.050* (0.026)

-0.021 (0.032)

-0.012 (0.016)

0.005 (0.017)

-0.003 (0.013)

0.010 (0.036)

-0.010 (0.029)

Quintile 4 = 1

-0.202*** (0.039)

-0.187 (0.115)

-0.146*** (0.055)

-0.223*** (0.076)

-0.026 (0.018)

-0.051** (0.025)

-0.006 (0.035)

-0.014 (0.016)

0.001 (0.018)

0.058 (0.053)

-0.020 (0.032)

-0.021 (0.026)

Quintile 5 = 1

-0.224*** (0.035)

-0.226*** (0.075)

-0.193*** (0.048)

-0.227*** (0.076)

-0.024 (0.018)

-0.049** (0.024)

-0.022 (0.031)

0.005 (0.027)

0.034 (0.024)

0.070 (0.057)

0.025 (0.041)

-0.001 (0.030)

Female

-0.089*** (0.023)

-0.079 (0.050)

-0.050 (0.038)

-0.139*** (0.038)

-0.008 (0.009)

-0.024 (0.018)

-0.003 (0.019)

-0.002 (0.009)

0.001 (0.014)

0.012 (0.022)

0.006 (0.029)

-0.015 (0.020)

Constant

0.261*** (0.033)

0.322*** (0.073)

0.188*** (0.041)

0.288*** (0.076)

0.053*** (0.019)

0.084** (0.042)

0.023 (0.026)

0.053* (0.029)

0.062** (0.024)

0.080* (0.046)

0.081* (0.046)

0.042 (0.028)

Observations

1,597

544

530

523

1,553

534

502

517

1,553

534

502

517

R-squared

0.104

0.099

0.098

0.136

0.011

0.047

0.020

0.039

0.012

0.064

0.012

0.026

 

Anemia (%)

VAD (%)

Iron deficiency (%)

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

-0.041 (0.045)

-0.122* (0.067)

0.088 (0.069)

0.056 (0.098)

0.067 (0.055)

-0.122 (0.085)

0.216** (0.090)

0.134 (0.113)

0.029 (0.048)

0.095 (0.077)

0.032 (0.074)

-0.074 (0.086)

Quintile 3 = 1

-0.025 (0.042)

-0.001 (0.056)

-0.048 (0.077)

0.109 (0.095)

0.073 (0.049)

-0.141** (0.063)

0.068 (0.077)

0.177* (0.100)

0.020 (0.043)

0.103 (0.094)

0.097 (0.063)

-0.081 (0.078)

Quintile 4 = 1

-0.096** (0.045)

0.041 (0.064)

-0.091 (0.067)

0.010 (0.105)

-0.023 (0.064)

-0.184** (0.091)

-0.106* (0.061)

0.050 (0.126)

0.019 (0.047)

0.322*** (0.109)

0.090 (0.060)

-0.105 (0.090)

Quintile 5 = 1

-0.182*** (0.049)

-0.114 (0.088)

-0.182*** (0.069)

-0.054 (0.109)

-0.085* (0.044)

-0.144* (0.081)

-0.070 (0.061)

-0.077 (0.108)

-0.084** (0.038)

-0.017 (0.077)

-0.052 (0.056)

-0.099 (0.090)

Female

-0.048* (0.028)

-0.063 (0.051)

-0.085* (0.051)

-0.015 (0.042)

-0.012 (0.029)

-0.017 (0.050)

-0.017 (0.039)

-0.009 (0.056)

-0.109*** (0.029)

-0.150*** (0.050)

-0.122*** (0.044)

-0.069 (0.047)

Constant

0.741*** (0.045)

0.816*** (0.077)

0.767*** (0.071)

0.539*** (0.106)

0.466*** (0.045)

0.601*** (0.088)

0.353*** (0.064)

0.547*** (0.102)

0.229*** (0.040)

0.358*** (0.075)

0.148** (0.057)

0.216** (0.095)

Observations

1,593

545

528

520

1,609

548

535

526

1,609

548

535

526

R-squared

0.036

0.062

0.089

0.021

0.034

0.086

0.060

0.072

0.046

0.091

0.090

0.046

 

Gross motor z-score

Communication z-score

VARIABLES

All

Highlands

Valleys

Lowlands

All

Highlands

Valleys

Lowlands

Quintile 2 = 1

-0.168 (0.110)

-0.204 (0.168)

-0.057 (0.168)

-0.417* (0.240)

-0.302** (0.123)

-0.499*** (0.181)

-0.078 (0.186)

-0.409 (0.250)

Quintile 3 = 1

-0.084 (0.106)

-0.133 (0.221)

-0.162 (0.165)

-0.189 (0.197)

-0.086 (0.111)

-0.350** (0.175)

0.017 (0.187)

-0.149 (0.197)

Quintile 4 = 1

-0.072 (0.148)

-0.362 (0.293)

-0.246 (0.250)

-0.088 (0.271)

-0.152 (0.127)

-0.083 (0.252)

-0.117 (0.190)

-0.328 (0.222)

Quintile 5 = 1

0.173* (0.100)

0.154 (0.208)

0.193 (0.162)

-0.097 (0.215)

-0.016 (0.124)

-0.098 (0.195)

0.203 (0.223)

-0.290 (0.204)

Female

-0.107 (0.071)

0.007 (0.137)

-0.119 (0.109)

-0.183 (0.111)

0.105 (0.085)

0.174 (0.130)

0.079 (0.141)

0.097 (0.141)

Constant

-0.020 (0.101)

-0.133 (0.165)

-0.036 (0.144)

0.280 (0.251)

0.147 (0.109)

-0.019 (0.190)

0.000 (0.160)

0.558** (0.214)

Observations

1,473

515

489

469

1,473

515

489

469

R-squared

0.021

0.031

0.044

0.051

0.022

0.056

0.020

0.062

  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.