is the playing field leveling in peru? the evolution of children’s opportunities
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Is the Playing Field Leveling in Peru? The Evolution of Children’s Opportunities. Javier Escobal, GRADE & Young Lives –Peru (and LCSPP/PREMPR – World Bank) Human Rights, Development and Economic Growth - Metrics, New Ways of Thinking, and New Strategies - PowerPoint PPT PresentationTRANSCRIPT
Is the Playing Field Leveling in Peru? The Evolution of Children’s Opportunities
Javier Escobal, GRADE & Young Lives –Peru
(and LCSPP/PREMPR – World Bank)
Human Rights, Development and Economic Growth - Metrics,
New Ways of Thinking, and New Strategies
April 7-8, 2011, Elliott School, Washington, DC
Outline
o Motivation: Recent trends in Poverty and Inequality
o The Human Opportunity Index
o Results based on Repeated Cross-Sections LSMS
o Some additional Results from a Longitudinal Sample
• Young Lives (Niños del Milenio)
• Access versus quality
• Multiple deprived children
The Context: Recent trends in Poverty and Inequality
Peru 2004-2009 - Poverty incidence and Gini coefficients
Poverty
PeruPoverty
UrbanPoverty
Rural
Gini(per capita
expenditure)2004 48.6 37.1 69.8 0.3752005 48.7 36.8 70.9 0.3792006 44.5 31.2 69.3 0.3852007 39.3 25.7 64.6 0.3792008 36.2 23.5 59.8 0.3532009 34.8 21.1 60.3 0.358
Sources: Poverty and Gini figures come from ENAHO 2004-2009. Gini figures are obtained from spatially price adjusted per capita expenditures. Adjusted Gini corrects the inequality index by the discrepancy between household survey data and national accounts.
25
30
35
40
45
50
0.0
2.0
4.0
6.0
8.0
10.0
2004 2005 2006 2007 2008 2009
Pove
rty
Rate
(%)
GD
P G
row
th (%
)
GDP Growth (%) Poverty Rate (%)
The Context: Inequality
o Some gaps are narrowing … but some gaps are expanding
o Education (gap ↓)
o Urban/Rural (gap ↑)o Large, Medium, small cities, rural towns, and
disperse rural areas (gap ↑)
In relation to Children Wellbeing
Basic Statistics: Child Wellbeing 2000 2005 2007 2008 2009Stunting (chronic malnutrition) Peru (NCHS/CDC/OMS standard) 25.4 22.9 22.6 21.5 18.3
Urban 13.4 9.9 11.8 11.8 9.9
Rural 40.2 40.1 36.9 36.0 32.8
Bottom 20% N.A. 46.8 45.1 45.0 37.1
Top 20% N.A. 4.3 4.2 5.4 2.3Low Weight at Birth (<2.5 kg) Peru (OMS standard) N.A. 8.7 8.4 7.2 7.1
Urban N.A. 7.8 7.7 6.4 6.6
Rural N.A. 10.6 9.5 8.9 8.4
Bottom 20% N.A. 12.1 11.7 10.3 8.9
Top 20% N.A. 5.4 7.2 4.8 4.9
Source: INEI. Based on DHS Survey
The Context: Inequality in the access to basic services in Children
o In addition to stunting and low weight at birth:• Acute Diarrhea (gap ↓)• Pre-natal checkups (gap ↓)• Delivery in a Health Institution (gap ↓)• Growth monitoring (gap ↓)
• Full Immunization (gap ↑)• Acute respiratory Infections (gap ↑)• Access to identity card (gap ↑)• Anemia (gap ≈)
Probability of Starting Primary School on Time (2009)
• Rosa is one of five children of a single mother whose native language is Quechua and who received only one year of formal education during her own childhood. The household’s income falls in the bottom quartile among all Peruvian households.
• Luis is the only child of high school-educated parents whose native tongue is Spanish. His household is among the top quarter in terms of income
0.0 0.2 0.4 0.6 0.8 1.0
Lima Met.
Sierra Urbana
Costa Urbana
Selva Urbana
Costa Rural
Selva Rural
Sierra Rural
Rosa Luis
Poor
Rich
Inequality of Opportunity
o The Human Opportunity Index (O) incorporates into a single composite indicator both overall access rates and the D-index measure of opportunity distribution.
o The index combines average access to opportunities with how equitably those opportunities are distributed (D). The proposed index is given by
Areas with big Improvements Finishing primary on time
HOI (level) HOI (annual change)
-0.50 0.00 0.50 1.00 1.50 2.00 2.50
ArgentinaPanamaJamaica
Costa RicaChile
VenezuelaParaguay
GuatemalaEcuadorUruguay
NicaraguaBrazil
El SalvadorMexico
HondurasColombia
Dominican RepublicPeru
Annual Change (%)
0 10 20 30 40 50 60 70 80 90 100
GuatemalaBrazil
NicaraguaEl Salvador
HondurasDominican Republic
ParaguayCosta RicaColombia
PanamaPeru
VenezuelaUruguay
ArgentinaEcuador
ChileMexicoJamaica
HOI (%)
Areas were improvement is meager: Access to drinkable water
HOI (level) HOI (annual change)
0 10 20 30 40 50 60 70 80 90 100
JamaicaNicaragua
El SalvadorHonduras
PeruParaguay
GuatemalaColombia
Dominican RepublicEcuadorPanama
BrazilVenezuela
MexicoUruguay
Costa RicaArgentina
Chile
HOI (%)
-2.00 -1.00 0.00 1.00 2.00 3.00 4.00 5.00
JamaicaEl SalvadorVenezuelaColombia
Costa RicaArgentinaNicaragua
PeruPanama
HondurasDominican Republic
ChileGuatemala
BrazilUruguay
ParaguayEcuadorMexico
Annual Change (%)
Results from Repeated Cross-Sections: Education
2004 2009
Covera
ge rate
(%)
Dissimilari
ty Index
(%)
HO
I
(%)
Coverag
e rate
(%)
Dissimilar
ity Index
(%)
HOI
(%)
Pre-school attendance (4-5) 77.51 10.36
69.5 82.80 6.77
77.2
Begin primary school on time 67.04 10.46
60.0 70.25 9.17
63.8
Finish primary (6th) on time 54.75 17.46
45.2 58.34 14.55
49.9
School attendance (ages 10-14) 94.68 2.17
92.6 96.84 1.29
95.6
Relative importance of different circumstances in determining HOI for Education (2009)
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%Per capita expenditures
Region
Location
Educational of Head
Number of siblingsAltitude
Mother's Language
Single Parents
Sex
Pre-school attendance Begin primary on time Finish primary on time School attendance
Finishing Primary on Time
-
20
40
60
80
100
Lima Sierra Urbana
Costa Urbana
Selva Urbana
Costa Rural Selva Rural Sierra Rural
HO
I (%
)
2000 2004 2009
HOI related to Access to key Household Services
2004 2009
Coverage rate
(%)
Dissimilarity Index
(%)
HOI (%)
Coverage rate
(%)
Dissimilarity
Index (%)
HOI (%)
Adequate water supply 57.84 21.57
45.4 61.00 20.34 48.6
Adequate sanitation 58.56 25.33
43.7 65.19 15.98 54.8
Electricity 68.28 24.1251.8 78.66 14.48 67.3
Access to telephone 14.69 45.39 8.0 62.98 17.70 51.8
Relative importance of different circumstances in determining HOI for Infrastructure (2009)
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%Location
Sex
Mother's Language
Educational of Head
Single ParentsNumber of siblings
Region
Per capita expenditures
Altitude
Water Sanitation Electricity Telephone
Evidence from Longitudinal Data: Young Lives
o Young Lives: An international study of childhood poverty 12,000 children in 4 countries over 15 years) Longitudinal project gathering comparable information in Ethiopia, India (Andhra Pradesh), Peru and Vietnam
o In Peru YL is tracking a representative sample of Peruvian children from two cohorts: a younger cohort who were aged between 6 months and 18 months in 2002 (born 2000) and an older cohort of children aged between 7.5 years old and 8.5 years old in 2002 (born 1994)
o Advantages from the point of view of studying Inequality of opportunitieso A larger set of circumstanceso A larger array of Child wellbeing indicators (opportunities)o Following the children through their life cycle.
o Data in the Public Domain
Evidence from Longitudinal Data: Young Lives
o Taking advantage of a broader set of circumstances• at least for Peru, extending the basic sets of circumstances
(i.e. urban/rural residence location; per capita household expenditure; gender; mother’s native language; educational attainment of the head of household and number of siblings) does not have an important effect on the HOI levels or their trends. Circumstances added:
• altitude of the dwelling were the children lives and the distance to the health facilities (as indicators or remoteness)
• mother’s marital status, • mother’s migration status and regions of residence (Costa,
Sierra, Selva)
• Basic circumstances were already capturing the bulk of the circumstance set. In particular mother’s native language; educational attainment and urban/rural location
Evidence from Longitudinal Data: Young Lives
Decomposition of Human Opportunity Index Changes for selected OutcomesYounger Cohort - Panel Sample
(considering extended circumstances)
Coverage Effect
(1)
Distributional Effect
(2)
Change in HOI
(3)=(1)+(2)
Relative Importance of
the Distributional
effect
(4)=(2)/(3)Has electricity 7.6 5.9 13.4 43.7Has proper sewerage 0.8 0.2 1.0 20.0Well Nourish (not stunted) -6.1 -3.1 -9.3 33.4Well Nourish (not underweighted) 0.9 0.4 1.2 28.7Source: YL data using Paes de Barros et al. (2008) methodology
YL: Changes in the Human Opportunity Index Within Urban and Rural Regions
URBANHOI R1
HOI R2
Coverage Effect
Distributional Effect
Changes in HOI
Has electricity 80.1 84.9 4.10 0.70 4.80Has proper sewerage 52.6 55.8 3.42 -0.23 3.19Well Nourish (not stunted) 77.8 72.5 -3.60 -1.73 -5.33Well Nourish (not underweighted) 94.6 95.8 0.91 0.33 1.23
RuralHOI R1
HOI R2
Coverage Effect
Distributional Effect
Changes in HOI
Has electricity 21.5 35.9 12.19 2.20 14.39Has proper sewerage 2.6 4.1 1.14 0.41 1.55Well Nourish (not stunted) 46.9 34.2 -13.00 0.32 -12.68Well Nourish (not underweighted) 86.6 88.5 0.91 0.96 1.86
Coverage Rates for Children under Alternative Circumstances Young Lives - Younger Cohort
Indigenous Language Non-Indigenous Language More than 4 siblings 3 or fewer siblings Low Education High Education & IncomeROUND 1
Has electricity 41.7% 90.9%Has proper sewerage 6.2% 73.2%Well Nourish-R1 (1-Stun) 43.5% 88.2%Well Nourish-R1 (1-Maln) 83.2% 98.2%ROUND 2
Has electricity 49.4% 94.6%Has proper sewerage 7.7% 79.2%Well Nourish-R2 (1-Stun) 32.6% 87.9%Well Nourish-R2 (1-Maln) 87.9% 99.0%Changes between Rounds (in percentage points)
Has electricity 7.7% 3.7%Has proper sewerage 1.5% 6.0%Well Nourish-R2 (1-Stun) -10.9% -0.3%Well Nourish-R2 (1-Maln) 4.7% 0.8%Note: Indicators are based in the Panel sub-sample
For the Older Cohort
Human Opportunity Index Decomposition for selected OutcomesOlder Cohort - Panel Sample
(considering extended circumstances)
Change in Coverage
Effect
(1)
Distributional Effect
(2)
Change in HOI
(3)=(1)+(2)
Relative Importance of the Distributional
effect
(4)=(2)/(3)Has electricity 6.9 5.4 12.3 43.9 Has proper sewerage 3.0 3.5 6.5 53.4 Well Nourish- (Not Stunted) -6.8 -2.1 -8.9 23.9 Verbal Skills 29.0 11.0 40.1 27.4 Math Skills 37.9 13.3 51.2 26.0 Not being overage 5.9 -0.1 5.7 n.a.Not working -5.8 -0.3 -6.0 4.8 Source: YL data using Paes de Barros et al. (2008) methodology
Conditioning for first round opportunities in Round 2
HOI for Well Nourished Children (not stunted)Younger Cohort
Round 1 Round 2 Round 2 6-18 month 4.5-5.5 Years 4.5-5.5 Years
Basic
CircumstancesBasic
CircumstancesBasic Circumstances +
Outcomes R1Urban 77.8 72.5 71.5Rural 46.9 34.2 30.1Gap 30.9 38.3 41.4Note: Outcomes R1 include Electricity, Water, Sanitation, Vaccine card
What happens when we look at individual trajectories?
Nutritional Trajectories at ages 5 and 8
38.3
2.4
25.8
33.4
74.7
2.3
12.4 10.7
61.3
2.3
17.3 19.1
Never stunted Non stunted at 5y - Stuntedat 8y
Stunted at 5y - Non stuntedat 8y
Always stunted
Rural Urban National
Basic and Extended Sets of Circumstances and Nutritional Trajectories between ages 5 and 8
Basic Set of CircumstancesCatch up between 5
and 8yStunted at 5
and 8y
Child sex (1=male) 46% 52% *Mother's language (1=spanish) 51% 40% *Education of the Household Head (years) 6.7 5.9 *Single Parent household (2006) 13% 13% Number of siblings (excluding index child) (2006) 1.8 2.1 Assets Value Index 2006 (at Median Prices of 2006) 764 542 Per capita household expenditure 2002 (monthly) 73 68 *Per capita household expenditure 2006 (monthly) 91 84 *Per capita household expenditure 2009 (monthly) 107 101 Altitude (2006) 2161 2234 Female head of household (2002) 88% 90% Mother's education (years of formal education) 6.0 4.7 ***Area of residence (2002) (1=urban) 41% 33% *Area of residence (2006) (1=urban) 45% 35% **Area of residence (2009) (1=urban) 52% 39% ***The household has received Juntos conditional transfers in some period between 2005 and 2009 36% 46% Number of months the family received CCTs between 2005 and 2009 7.6 10.1 *Statistical difference at 99% (***) 95% (**) and 90% (*) confidenceSource: own estimations based on Young Lives dataset. Only younger cohort is analyzed (i.e. children born in 2001)
Early opportunities and increasing access to basic services
Recovered from stunting between 5 and 8y
Stunted at 5 and 8y
Nutrition and Health related opportunities Received pre-natal care 90% 87% Normal weight at birth 93% 90% *Was not weigthed at birth 20% 23% Has a vaccination card (2002) 88% 88% Low height for age in 2002 (Stunting) 38% 76% ***Low weight for age in 2002 7% 23% ***Consumed proteines in last 24hours-2006 88% 84%
Cognitive related opportunities School attendence in 2006 (preschool level) 77% 70% *
Access to basic services Improved sanitation facilities At age 1 (2002) 64% 63% At age 5 (2006) 78% 74% At age 8 (2009) 93% 86% ***Improved drinking water At age 1 (2002) 47% 41% At age 5 (2006) 48% 46% At age 8 (2009) 69% 68% Time to the nearest education center 10.8 8.8 Time to the nearest health center 48.8 44.2
Statistical difference at 99% (***) 95% (**) and 90% (*) confidenceSource: own estimations based on Young Lives dataset. Only younger cohort is analyzed (i.e. children born in 2001)
One last Topic: Capturing differences in quality: the devil is in the details
Coverage rate (%)
Dissimilarity Index (%) HOI (%)
Education School attendance (ages 10-14) (ENAHO 2009) 96.84 1.29 95.59Begin primary school on time (ENAHO 2009) 70.25 9.17 63.81Finish primary (6th) on time (ENAHO 2009) 58.34 14.55 49.86
Coverage rate (%)
Dissimilarity Index (%) HOI (%)
Electricity Some Access to Electricity (YL Round 1) 60.68 25.09 45.45Electricity all days (last 15 days) (YL Round 1) 58.85 25.33 43.95Electricity 24 hours (YL Round 1) 57.86 25.41 43.16
Coverage rate
(%)Dissimilarity
Index (%) HOI (%)
Water Access de piped drinkable water (YL Round 2) 59.12 11.70 52.20Access 7 days a week (YL Round 2) 47.71 11.31 42.31Access 24 hours (YL Round 2) 21.45 15.27 18.17
Thanks!
YL data available at ESDS - UK http://www.ninosdelmilenio.orghttp://www.younglives.org.uk