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Poverty, Inequality and Social 
Change in Children’s Lives 
Advancing Equity for Children: 
25th Anniversary of the UN CRC 
Ginny Morrow, Senior Research Officer / 
Deputy Director, Young Lives 
Paul Dornan, Senior Policy Officer, Young Lives 
Presentation at the New School, New York, 5 November 2014
25 YEARS OF THE CRC 
• Huge progress achieved though holistic approach to child 
development 
• Child survival and enrolment in school 
• BUT widespread inequities affecting the poorest and most 
vulnerable children = a global issue 
• An ‘unfinished agenda’ 
• Emphasis on child protection 
• 47% of all people living in extreme poverty are aged 18 or 
younger (Olinto et al. 2013)
THE STUDY 
• Multi-disciplinary study that aims to: 
- improve understanding of childhood poverty 
- provide evidence to improve policies & practice 
• Following nearly 12,000 children in 4 countries: Ethiopia; India 
(Andhra Pradesh & Telangana); Peru and Vietnam, over 15 years 
• Now covers 11 year period: first data collected in 2002, with 5 survey 
rounds and 4 waves of qualitative research with nested sample 50 
children plus school survey of children in school 
• Two age cohorts in each country: 
- 2,000 children born in 2000-01 
- 1,000 children born in 1994-95 
• Pro-poor sample: 20 sites in each country, reflecting country diversity 
(rural-urban, diverse livelihoods, ethnicity) 
• Collaboration: 
- partners in each study country 
- core funded by DFID, DGIS, IrishAid 
- collaboration with UNICEF Office of Research
VISUALISING THIS 
Same age children at 
different time points 
Qualitative nested sample 
1 2 3 4 
AGES: 1 5 8 12 15 
YOUNGER COHORT 
Following 2,000 children 
OLDER COHORT 
Following 1,000 children 
AGES: 8 12 15 19 22 
Round 1 Round 2 Round 3 Round 4 Round 5 
2002 2006 2009 2013 2016 
Linked 
school surveys
TEN YEARS IN CHILDREN’S LIVES 
• The economies of all four Young Lives 
countries grew rapidly in the first 
decade of the 21st Century 
• This growth was accompanied by 
broad infrastructural improvements 
and increased service access 
(associated with the MDGs) e.g. 
– increased external investment, road 
and communications infrastructure 
– primary school enrolment = near 
universal across the sample in 3 of our 
countries and rapidly increasing in 
Ethiopia 
– Social protection: MGNREGA, India; 
Juntos, Peru; PSNP, Ethiopia 
– Health insurance in Vietnam, Peru and 
60 
2013 
2006 
2013 
2002 
2013 
2002 
2013 
2002 
2013 
Peru 
Flush 
toilet Electricity Internet 
in India. Health Extension Workers in 
Ethiopia 58 
74 
79 
93 
37 
55 
94 
29 
62 
0 50 100 
2006 
Piped 
Water Sanitation
WHAT HAPPENS? 
100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 
Men (%) 
Women (%) 
Men (%) 
Women (%) 
Men (%) 
Women (%) 
Men (%) 
Women (%) 
Ethiopia United 
Andhra 
Pradesh 
Peru Vietnam 
% of 19 year olds 
Not working 
or studying 
Working only 
Combining 
study and 
work 
Studying only
WHAT HAPPENS BY 19 YEARS? 
• Substantial numbers are still studying at 19 years - huge policy 
opportunity. But the least poor young people, those whose parents 
had higher levels of education and those growing up in urban areas 
stay longer in education 
• Gender differences in 3 out of 4 countries by age 19 in who 
studies. Young men much more likely to remain studying in AP, 
India; Young women in Ethiopia and Vietnam. 
• Poorer girls and those living in rural areas are more likely to be 
married and had a child by age 19 
• Girls married by age 19 Had a child by age 19 
37% – AP India 24% - Peru 
25% - Peru 21% - AP India 
19% - Vietnam 12% - Vietnam 
13% - Ethiopia 9% - Ethiopia
KEY QUESTIONS FOR POLICY 
• Why such large differences by age 19 years? 
• What sorts of approaches might improve 
equality of opportunity and stop young people 
being left behind. 
Addressing the earlier roots of later differences 
in opportunities faced 
- Central importance of tackling under-nutrition 
- Crisis in learning, and potential of the 
school
TACKLING UNDER-NUTRITION 
45 
40 
35 
30 
25 
20 
15 
10 
5 
0 
Poorest third 
Least poor third 
Rural 
Urban 
Scheduled Tribe 
Scheduled Caste 
Backward Classes 
Other Castes 
Wealth level Location Caste/ethnicity 
% of children stunted 
2006 
2013 
Early under-nutrition 
associated 
with a range of 
negative outcomes 
The poorest 1/3 of 
children are around 
twice as likely to be 
stunted as the least 
poor third 
Andhra Pradesh, 12-year-old children 
Implication - central importance of early years policy to SDGs 
but importance to invest in middle childhood also
A CRISIS IN LEARNING? 
• Assumption made both by policy makers and by children and 
parents that education will lead to social mobility 
- But will it? 
o Improved enrolment rates are a great success - but don’t 
always lead to good learning 
o Learning influenced by household factors, not just the 
school 
o Unequal opportunities to learn 
Need to look at schooling in new light for SDGs
POLICY SOMETIMES WIDENS GAPS 
Andhra Pradesh, enrolment in private schools (% of 12-year-olds) 
80 
70 
60 
50 
40 
30 
20 
10 
0 
2006 2013 
Boys Girls Poorest third Least poor third Average
BUT POLICY CAN NARROW GAPS 
Vietnam, Maths tests results (standardised so average initial performance=500) 
(age 10 years) 
600 
500 
400 
300 
200 
100 
0 
Oct-11 Apr-12 
Kinh Ethnic Minority 
Narrowing learning gaps against tests based on the curricula
HOW, WHEN AND WHY GENDER INEQUITIES FORM 
Why? 
Decision making over 
who stays in school 
shaped by 
- economic pressures 
- institutional 
structural 
- socio-cultural 
context 
Gender gaps in enrolment by age 
10 
5 
0 
-5 
-10 
-15 
-20 
Ethiopia Andhra 
Pradesh 
Peru Vietnam 
At age 8 
At age 
12 
At age 
15 
Pro girl 
Pro boy 
Percentage point
IMPLICATIONS FOR POLICY 
• Cognitive gaps between social groups well in place before children 
enter school, but ways these widen after varies with the impact of 
school system: 
-Vietnam, high performer and more equalising 
- Andhra Pradesh, low performer and widening gaps 
(a) Early phase of life central foundation for later learning 
(b) Tackling household poverty supports education 
(b) Greater focus on school effectiveness for learning 
(c) Programming potential to capitalise on school for other purposes – 
e.g. school feeding programmes 
(d) Addressing gender disadvantages requires both policy targeted at 
children directly and engaging with wider societal structures which 
shape household decision-making
• UN GA 2014 
FINAL REFLECTIONS 
“Need to reduce implementation gap between principles and 
rights enshrined in UN CRC and actual living conditions of the 
most marginalised and excluded girls and boys who are left 
behind” 
“Many children find themselves living with multiple risks and 
multiple hazards … action must be on the basis of mappings of 
vulnerability that reflects these complexities” 
• SDGs and data revolution = potential to increase the profile 
of children, key messages include: 
- increase social protection coverage for households with 
children 
- identify and improve effectiveness of school for poorer 
and marginalised children
FINDING OUT MORE 
www.younglives.org.uk 
• methods and research papers 
• datasets (UK Data Archive) 
• publications 
• child profiles and photos 
• e-newsletter
ACKNOWLEDGEMENTS AND THANKS 
• Young Lives children, parents/caregivers as well as 
community leaders, teachers, health workers and 
others in communities. 
• Fieldworkers, data-managers, survey enumerators 
and supervisors, principal investigators and 
country directors in each country 
• Funders: DFID, DGIS, IrishAid, Oak Foundation, 
Bernard Van Leer Foundation, UNICEF 
• Oxford team

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Advancing equity for children morrow and dornan

  • 1. Poverty, Inequality and Social Change in Children’s Lives Advancing Equity for Children: 25th Anniversary of the UN CRC Ginny Morrow, Senior Research Officer / Deputy Director, Young Lives Paul Dornan, Senior Policy Officer, Young Lives Presentation at the New School, New York, 5 November 2014
  • 2. 25 YEARS OF THE CRC • Huge progress achieved though holistic approach to child development • Child survival and enrolment in school • BUT widespread inequities affecting the poorest and most vulnerable children = a global issue • An ‘unfinished agenda’ • Emphasis on child protection • 47% of all people living in extreme poverty are aged 18 or younger (Olinto et al. 2013)
  • 3. THE STUDY • Multi-disciplinary study that aims to: - improve understanding of childhood poverty - provide evidence to improve policies & practice • Following nearly 12,000 children in 4 countries: Ethiopia; India (Andhra Pradesh & Telangana); Peru and Vietnam, over 15 years • Now covers 11 year period: first data collected in 2002, with 5 survey rounds and 4 waves of qualitative research with nested sample 50 children plus school survey of children in school • Two age cohorts in each country: - 2,000 children born in 2000-01 - 1,000 children born in 1994-95 • Pro-poor sample: 20 sites in each country, reflecting country diversity (rural-urban, diverse livelihoods, ethnicity) • Collaboration: - partners in each study country - core funded by DFID, DGIS, IrishAid - collaboration with UNICEF Office of Research
  • 4. VISUALISING THIS Same age children at different time points Qualitative nested sample 1 2 3 4 AGES: 1 5 8 12 15 YOUNGER COHORT Following 2,000 children OLDER COHORT Following 1,000 children AGES: 8 12 15 19 22 Round 1 Round 2 Round 3 Round 4 Round 5 2002 2006 2009 2013 2016 Linked school surveys
  • 5. TEN YEARS IN CHILDREN’S LIVES • The economies of all four Young Lives countries grew rapidly in the first decade of the 21st Century • This growth was accompanied by broad infrastructural improvements and increased service access (associated with the MDGs) e.g. – increased external investment, road and communications infrastructure – primary school enrolment = near universal across the sample in 3 of our countries and rapidly increasing in Ethiopia – Social protection: MGNREGA, India; Juntos, Peru; PSNP, Ethiopia – Health insurance in Vietnam, Peru and 60 2013 2006 2013 2002 2013 2002 2013 2002 2013 Peru Flush toilet Electricity Internet in India. Health Extension Workers in Ethiopia 58 74 79 93 37 55 94 29 62 0 50 100 2006 Piped Water Sanitation
  • 6. WHAT HAPPENS? 100 90 80 70 60 50 40 30 20 10 0 Men (%) Women (%) Men (%) Women (%) Men (%) Women (%) Men (%) Women (%) Ethiopia United Andhra Pradesh Peru Vietnam % of 19 year olds Not working or studying Working only Combining study and work Studying only
  • 7. WHAT HAPPENS BY 19 YEARS? • Substantial numbers are still studying at 19 years - huge policy opportunity. But the least poor young people, those whose parents had higher levels of education and those growing up in urban areas stay longer in education • Gender differences in 3 out of 4 countries by age 19 in who studies. Young men much more likely to remain studying in AP, India; Young women in Ethiopia and Vietnam. • Poorer girls and those living in rural areas are more likely to be married and had a child by age 19 • Girls married by age 19 Had a child by age 19 37% – AP India 24% - Peru 25% - Peru 21% - AP India 19% - Vietnam 12% - Vietnam 13% - Ethiopia 9% - Ethiopia
  • 8. KEY QUESTIONS FOR POLICY • Why such large differences by age 19 years? • What sorts of approaches might improve equality of opportunity and stop young people being left behind. Addressing the earlier roots of later differences in opportunities faced - Central importance of tackling under-nutrition - Crisis in learning, and potential of the school
  • 9. TACKLING UNDER-NUTRITION 45 40 35 30 25 20 15 10 5 0 Poorest third Least poor third Rural Urban Scheduled Tribe Scheduled Caste Backward Classes Other Castes Wealth level Location Caste/ethnicity % of children stunted 2006 2013 Early under-nutrition associated with a range of negative outcomes The poorest 1/3 of children are around twice as likely to be stunted as the least poor third Andhra Pradesh, 12-year-old children Implication - central importance of early years policy to SDGs but importance to invest in middle childhood also
  • 10. A CRISIS IN LEARNING? • Assumption made both by policy makers and by children and parents that education will lead to social mobility - But will it? o Improved enrolment rates are a great success - but don’t always lead to good learning o Learning influenced by household factors, not just the school o Unequal opportunities to learn Need to look at schooling in new light for SDGs
  • 11. POLICY SOMETIMES WIDENS GAPS Andhra Pradesh, enrolment in private schools (% of 12-year-olds) 80 70 60 50 40 30 20 10 0 2006 2013 Boys Girls Poorest third Least poor third Average
  • 12. BUT POLICY CAN NARROW GAPS Vietnam, Maths tests results (standardised so average initial performance=500) (age 10 years) 600 500 400 300 200 100 0 Oct-11 Apr-12 Kinh Ethnic Minority Narrowing learning gaps against tests based on the curricula
  • 13. HOW, WHEN AND WHY GENDER INEQUITIES FORM Why? Decision making over who stays in school shaped by - economic pressures - institutional structural - socio-cultural context Gender gaps in enrolment by age 10 5 0 -5 -10 -15 -20 Ethiopia Andhra Pradesh Peru Vietnam At age 8 At age 12 At age 15 Pro girl Pro boy Percentage point
  • 14. IMPLICATIONS FOR POLICY • Cognitive gaps between social groups well in place before children enter school, but ways these widen after varies with the impact of school system: -Vietnam, high performer and more equalising - Andhra Pradesh, low performer and widening gaps (a) Early phase of life central foundation for later learning (b) Tackling household poverty supports education (b) Greater focus on school effectiveness for learning (c) Programming potential to capitalise on school for other purposes – e.g. school feeding programmes (d) Addressing gender disadvantages requires both policy targeted at children directly and engaging with wider societal structures which shape household decision-making
  • 15. • UN GA 2014 FINAL REFLECTIONS “Need to reduce implementation gap between principles and rights enshrined in UN CRC and actual living conditions of the most marginalised and excluded girls and boys who are left behind” “Many children find themselves living with multiple risks and multiple hazards … action must be on the basis of mappings of vulnerability that reflects these complexities” • SDGs and data revolution = potential to increase the profile of children, key messages include: - increase social protection coverage for households with children - identify and improve effectiveness of school for poorer and marginalised children
  • 16. FINDING OUT MORE www.younglives.org.uk • methods and research papers • datasets (UK Data Archive) • publications • child profiles and photos • e-newsletter
  • 17. ACKNOWLEDGEMENTS AND THANKS • Young Lives children, parents/caregivers as well as community leaders, teachers, health workers and others in communities. • Fieldworkers, data-managers, survey enumerators and supervisors, principal investigators and country directors in each country • Funders: DFID, DGIS, IrishAid, Oak Foundation, Bernard Van Leer Foundation, UNICEF • Oxford team