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Page 1: From  Parent to  Child

FROM  PARENT TO CHILDAssociation Between Parental Resources and Child Development in Peru

Milo Vandemoortele

DSA ConferenceNovember, 2013

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Overarching Research Question

How and to what extent are parental resources associated

with child development?

A case study of Peru

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Why do research on this topic?• A “conservative estimate that more than 200 million children under 5 years fail to reach their potential in cognitive development because of poverty…” and its attendant problems.1

• Long term consequences2

• Poor children are more likely to remain poor

• Limited research on the topic

1 Grantham-McGregor et al., 2007:60; 2 Walker et al., 2011

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Research QuestionsHow and to what extent are parental resources associated with child development? Particularly focusing on:i. Parental resources at birth and each subsequent

stages of lifeii. Changes in parental resources iii. Differential effect of parental wealth versus

parental expenditureiv. Shape of the association – is it linear?v. Does the effect of parental resources differ for

poorer children versus wealthier children

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Analytical Framework

Source: Adapted from Haveman and Wolfe (1995), Grantham-McGregor et al. (2007)

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Data: Young Lives• Four countries: Ethiopia, Andhra Pradesh

(India), Peru and Vietnam• Total sample of 12,000 children followed over a

period of 15 years• Sample size used here, younger cohort in Peru

~2000 children born in 2001/02• Three survey rounds (birth, 5/6 yrs and 7/8 yrs)• Extremely low attrition rates (7% in Peru)

• Limitations

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Analytic Approach• Challenge: Omitted variable bias and endogeniety leads to biased estimates

• Several approaches available to address this• Latent Trait Modeling to recalculate the wealth index

Models1) OLS with Community Fixed Effects2) Spline with Community Fixed Effects3) Child Level Fixed Effects (First-Differences)

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Control Variables•  Child specific:

• gender• race/ethnicity• birth weight• chronic health problems• stunting• age• subjective socio-economic status (at age 7/8 yrs)

• Household level: • siblings• caregivers level of education• proxies for household non-cognitive environment:

• maternal depression• caregiver’s educational aspirations of child• negative child rearing experience

• network/social capital• main language spoken at home

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Model 1: OLS with Community Fixed Effects

Where:• is the cognitive outcome observed in Round for child in

community • is expenditure (logged) in Round • is household wealth • are observed child-level factors, where there are number of

variables ( • represents the community fixed effects.• are the unobserved exogenous factors affecting child

development, where L is the number of variables (). • captures measurement error 

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Model 2: Spline with Community FE

• Are there non-linear effects? • A prototypical model is represented as follows:

• The only difference between Equation 2 and Equation 1 is the spline function around the household resources variables and

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Model 3: First-difference model • Controls for differences between households and communities• Allows to examine the effect of changes in parental resources on

child development

• : changes in the developmental outcome between age 5/6 yrs and 7/8 yrs

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Vocabulary 5/6 yrs

Vocabulary 7/8 yrs

Math 5/6 yrs

Math 7/8 yrs

Reading 7/8 yrs

VARIABLES (PPVT) (PPVT) (CDA-Q) (Math) (EGRA)

Wealth at birth 2.49*** 1.08 0.14 0.50* 0.31*

(0.67) (0.57) (0.10) (0.22) (0.15)

Log consumption at birth -0.56 -0.51 0.01 -0.13 -0.03

(0.32) (0.27) (0.05) (0.11) (0.07)

Wealth age 5/6yrs 4.55*** 2.00** 0.31** 0.53* 0.37*

(0.64) (0.63) (0.10) (0.25) (0.17)

Log consumption age 5/6yrs 1.87** -0.32 0.26** 0.22 0.08

(0.62) (0.54) (0.09) (0.21) (0.14)

Wealth age 7/8yrs

2.87***

1.01*** 0.44**

(0.61)

(0.24) (0.16)

Log consumption age 7/8yrs

1.59**

0.42 0.28

(0.57)

(0.22) (0.15)

Observations 1,806 1,765 1,849 1,807 1,668 Number of Communities 81 82 82 82 82 Standard errors in parentheses *** p<0.001, ** p<0.01, * p<0.05

Results: OLS with Community FE (1)

Consumption appears to have a positive and contemporaneous effect. Wealth too, but also a lagged effect.

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Vocabulary 5/6 yrs

Vocabulary 7/8 yrs

Math 5/6 yrs

Math 7/8 yrs

Reading 7/8 yrs

VARIABLES (PPVT) (PPVT) (CDA-Q) (Math) (EGRA)

Wealth at birth 2.49*** 1.08 0.14 0.50* 0.31*

(0.67) (0.57) (0.10) (0.22) (0.15)

Log consumption at birth -0.56 -0.51 0.01 -0.13 -0.03

(0.32) (0.27) (0.05) (0.11) (0.07)

Wealth age 5/6yrs 4.55*** 2.00** 0.31** 0.53* 0.37*

(0.64) (0.63) (0.10) (0.25) (0.17)

Log consumption age 5/6yrs 1.87** -0.32 0.26** 0.22 0.08

(0.62) (0.54) (0.09) (0.21) (0.14)

Wealth age 7/8yrs

2.87***

1.01*** 0.44**

(0.61)

(0.24) (0.16)

Log consumption age 7/8yrs

1.59**

0.42 0.28

(0.57)

(0.22) (0.15)

Observations 1,806 1,765 1,849 1,807 1,668 Number of Communities 81 82 82 82 82 Standard errors in parentheses *** p<0.001, ** p<0.01, * p<0.05

Results: OLS with Community FE (2)

Wealth is a better predictor of children’s math and reading skills at 7/8 yrs old than consumption.

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Results: Spline with Community FE (1)• The effect of wealth on vocabulary scores at age 5/6 yrs is non-

linear, whereas the effect of expenditure is linear. • This is differs with math scores at 5/6 yrs, where the effect of

wealth and expenditure in the same time period are broadly linear.

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Results: Spline and Community FE (3)With maths and reading scores at 7/8 yrs, wealth in the previous period (5/6 yrs) appears to have a nonlinear effect.

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Results: First-Differences (1)

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-10

010

2030

Cha

nge

in S

core

5/6

-7/8

yrs

Poorest Poorer Middle Wealthier WealthiestExpenditure Group at Birth

math_diff

Average Marginal EffectChanges in Expenditure (5/6-7/8yrs)

-10

010

20C

hang

e in

Sco

re 5

/6-7

/8 y

rs

Poorest Poorer Middle Wealthier WealthiestExpenditure Group at Birth

ppvt_dif

Average Marginal EffectChanges in Expenditure (5/6-7/8yrs)

Changes in expenditure between 5/6 and 7/8 years appear to benefit the poorest children more than the better off children.

Voca

bula

ry

Mat

h

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Summary• Consumption appears to have a contemporaneous effect, while wealth has both a contemporaneous and lagged effect on vocabulary test scores.

• Data on parental wealth are a better predictor of children’s maths and reading skills at 7/8 yrs old than consumption data.

• The assumption that wealth is linearly associated with cognitive development does not hold.

• A change in wealth appears to have a lagged effect, while changes in expenditure an immediate effect on both math and vocabulary test scores.

• This effect appears to benefit poorer children more than better off children.

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MechanismsGoods inputs and under-nutrition• Stunting - negative and significant effect generally• Long term health problems – no significant effect• Birth weight – no significant effect

Time inputs / under-stimulation • Caregiver’s depression – positive with reading at age 7/8 yrs• Parental aspirations – positive and significance with vocabulary at age

7/8 yrs

Demographic• Gender - significant differences in math and vocabulary at age 7/8

yrs, but small

SES• Subjective SES – small, positive and significant with reading at age

7/8 yrs only

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Results: First-Differences (2)Changes in wealth between birth and 5/6 yrs appears to benefit poorer children more than wealthier children in both maths and vocabulary scores.

-20

-10

010

20C

hang

e in

Sco

re 5

/6-7

/8 y

rs

Poorest Poorer Middle Wealthier WealthiestWealth Group at Birth

ppvt_dif

Average Marginal EffectChanges in Wealth (birth-5/6yrs)

-10

010

2030

Cha

nge

in S

core

5/6

-7/8

yrs

Poorest Poorer Middle Wealthier WealthiestWealth Group at Birth

math_diff

Average Marginal EffectChanges in Wealth (birth-5/6yrs)

Voca

bula

ry

Mat

h


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