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Labor Migration in Indonesia and the Health of Children Left Behind Cover

Labor Migration in Indonesia and the Health of Children Left Behind

By:   
Open Access
|Sep 2019

Figures & Tables

Table 1a

Characteristics of children by migration status of parents (year 2000)

(1)
Full sample
(2)
Neither parent migrated
(3)
One parent migrated
HAZ−0.65 (1.65)−0.67 (1.63)−0.41 (1.81)
WAZ−1.05 (1.63)−1.07 (1.62)−0.92 (1.69)
Male0.52 (0.50)0.53 (0.50)0.48 (0.50)
Age (years)3.90 (2.14)3.98 (2.13)3.21 (2.15)
Father’s years of schooling7.78 (3.81)7.71 (3.81)8.41 (3.75)
Mother’s years of schooling7.28 (3.57)7.21 (3.53)7.93 (3.86)
Monthly household expenditure15,5760.6015,4960.5516,3487.31
per capita(198183.86)(202018.83)(156480.69)
Urban0.42 (0.49)0.42 (0.49)0.39 (0.49)
Observations2,8412,573268

[i] Notes: Sample consists of children from the 2000 wave of the Indonesia Family Life Survey.

HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 1b

Characteristics of children by migration status of parents (year 2007)

(1)
Full sample
(2)
Neither parent migrated
(3)
One parent migrated
HAZ−1.21 (1.18)−1.20 (1.18)−1.43 (1.17)
WAZ−1.11 (1.36)−1.09 (1.36)−1.36 (1.28)
Male0.52 (0.50)0.52 (0.50)0.53 (0.50)
Age (years)11.27 (2.24)11.25 (2.24)11.56 (2.19)
Father’s years of schooling7.52 (3.86)7.61 (3.86)6.43 (3.66)
Mother’s years of schooling6.98 (3.66)7.12 (3.67)5.01 (2.98)
Per capita monthly household3,52,422.433,58,573.252,61,259.84
expenditure (rupiah)(3,50,356.01)(3,58,271.27)(1,75,927.17)
Urban0.45 (0.50)0.46 (0.50)0.36 (0.48)
Observations2,8412,662179

[i] Notes: Sample consists of children from the 2007 wave of the Indonesia Family Life Survey.

HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 2a

Health of children by sex (year 2000)

(1)
Female Mean
SD(2)
Male Mean
SD(3)
Difference
P-value
HAZ−0.691.61−0.621.68−0.070.25
WAZ−1.081.58−1.021.67−0.060.34
Observations1,3531,4882,841

[i] Notes: Sample consists of children from the 2000 wave of the Indonesia Family Life Survey.

HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores; SD, standard deviation.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 2b

Health of children by sex (year 2007)

(1)
Female Mean
SD(2)
Male Mean
SD(3)
Difference
P value
HAZ−1.221.12−1.201.24−0.020.70
WAZ−1.011.27−1.201.420.190.00
Observations1,3531,4882,841

[i] Notes: Sample consists of children from the 2007 wave of the Indonesia Family Life Survey.

HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores; SD, standard deviation.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 3

Main regression results

(1)
HAZ
(2)
HAZ
(3)
WAZ
(4)
WAZ
Mother migrated for work−0.49** (0.20)−0.37* (0.20)−0.25 (0.24)−0.03 (0.19)
Father migrated for work0.04 (0.15)0.19 (0.14)−0.05 (0.16)0.05 (0.12)
Age (years)−1.01*** (0.06)−0.69*** (0.07)
Log age−1.00*** (0.10)−0.48*** (0.10)
Mother’s years of schooling
1–30.09 (0.15)0.30** (0.14)0.37* (0.22)0.52** (0.23)
4–60.00 (0.18)0.20 (0.18)0.43 (0.27)0.59** (0.27)
7–9−0.00 (0.30)0.32 (0.26)0.35 (0.39)0.58* (0.33)
10–120.44 (0.41)0.30 (0.43)0.54 (0.50)0.32 (0.47)
>120.23 (0.48)0.10 (0.47)0.02 (0.56)−0.18 (0.51)
Father’s years of schooling
1–30.07 (0.37)0.29 (0.32)−0.17 (0.37)−0.03 (0.21)
4–60.09 (0.38)0.35 (0.33)−0.24 (0.39)−0.13 (0.21)
7–90.34 (0.41)0.56 (0.36)−0.11 (0.44)−0.17 (0.25)
10–120.09 (0.43)0.20 (0.39)−0.21 (0.46)−0.30 (0.30)
>12−0.31 (0.46)−0.24 (0.43)−0.23 (0.48)−0.39 (0.33)
Log per capita monthly household expenditure−0.04 (0.06)−0.01 (0.05)−0.03 (0.07)0.02 (0.06)
Urban0.15 (0.14)−0.01 (0.14)0.28 (0.20)0.15 (0.19)
Year, 20077.04*** (0.45)0.78*** (0.11)5.15*** (0.50)0.73*** (0.12)
Observations3,1403,0643,1403,064
R-squared0.26250.20730.07300.0601

[i] Notes: *** significant at 1%, ** significant at 5%, and * significant at 10%. Standard errors are robust to clustering at the household level. Regressions include child and household fixed effects. The omitted category for years of schooling is 0 to 1 years. Household expenditure is the sum of expenses on food, nonfood items (durable and nondurable), and education, as reported by a female respondent, either the spouse of the household head or another person most knowledgeable about household affairs. HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 4

Uncontrolled regression results

(1)(2)(3)(4)
HAZHAZWAZWAZ
Mother migrated for work0.19 (0.17)0.38** (0.16)
Father migrated for work0.36*** (0.11)0.05 (0.11)
Observations5,6825,6825,6825,682
R-squared0.00060.00490.00260.0001

[i] Notes: *** significant at 1%, ** significant at 5%, and* significant at 10%. Standard errors are robust to clustering at the household level. Regressions do not include any controls. HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 5

Selective attrition

Attrited in 2007
HAZ−0.002 (0.004)
WAZ−0.002 (0.004)
Father migrated for work0.014 (0.021)
Mother migrated for work0.091* (0.048)
Age (years)−0.007*** (0.002)
Mother’s years of schooling
1–30.004 (0.008)
4–60.025** (0.010)
7–90.024* (0.013)
10–120.051*** (0.017)
>120.026 (0.020)
Father’s years of schooling
1–30.022* (0.011)
4–60.035*** (0.012)
7–90.025* (0.014)
10–120.023 (0.015)
>12−0.000 (0.016)
Log per capita monthly household expenditure0.007 (0.005)
Urban−0.000 (0.008)
Constant−0.090 (0.062)
Observations1804

[i] Notes: *** significant at 1%, ** significant at 5%, and * significant at 10%. Explanatory variables are from the 2000 wave of the Indonesia Family Life Survey. HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 6

Do parental migration coefficients vary by sex of child?

(1)
HAZ
(2)
WAZ
Mother migrated for work−0.48* (0.26)−0.26 (0.36)
Mother migrated for work × male−0.06 (0.39)−0.01 (0.44)
Father migrated for work−0.23 (0.16)−0.22 (0.18)
Father migrated for work × male0.63* (0.34)0.39 (0.33)
Age (years)−1.01*** (0.06)−0.69*** (0.07)
Mother’s years of schooling:
1–30.11 (0.16)0.38* (0.22)
4–60.02 (0.18)0.45* (0.27)
7–90.02 (0.31)0.36 (0.39)
10–120.48 (0.41)0.56 (0.50)
>120.26 (0.49)0.05 (0.56)
Father’s years of schooling:
1–30.07 (0.36)−0.17 (0.36)
4–60.08 (0.38)−0.24 (0.39)
7–90.34 (0.40)−0.11 (0.44)
10–120.11 (0.43)−0.19 (0.45)
>12−0.27 (0.46)−0.21 (0.47)
Log per capita monthly household expenditure−0.04 (0.06)−0.02 (0.07)
Urban0.14 (0.14)0.28 (0.20)
Year = 20077.03*** (0.45)5.15*** (0.51)
Observations3,1403,140
R-squared0.26600.0743

[i] Notes: *** significant at 1%, ** significant at 5%, and * significant at 10%. Standard errors are robust to clustering at the household level. Regressions include child and household fixed effects. The omitted category for years of schooling is 0–1 years. Household expenditure is the sum of expenses on food, nonfood items (durable and nondurable), and education, as reported by a female respondent, either the spouse of the household head or another person most knowledgeable about household affairs. HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores.

Source: Author’s calculation based on Indonesia Family Life Survey microdata.

Table 7

Migration’s impact on consumption as a possible mechanism

(1)
Log of per capita monthly household expenditure
Mother migrated for work0.06 (0.09)
Father migrated for work0.16** (0.07)
Age (years)0.06* (0.03)
Mother’s years of schooling
1–30.13 (0.15)
4–60.19 (0.16)
7–90.27 (0.18)
10–120.17 (0.25)
>120.17 (0.29)
Father’s years of schooling
1–30.08 (0.14)
4–60.17 (0.15)
7–90.15 (0.16)
10–120.43** (0.18)
>120.51** (0.22)
Urban0.14* (0.08)
Year=20070.43* (0.23)
Observations3,140
R-squared0.6860
Language: English
Published on: Sep 8, 2019
Published by: Sciendo
In partnership with: Paradigm Publishing Services
JEL:

© 2019 James Ng, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.