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Measuring Child Poverty

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Lucia Ferrone outlines how to measure the multi-faceted concept of child poverty. She then describes how this child poverty data can be used to influence policy. This slideshow was first presented as part of UNICEF's (Europe and Central Asia) conference on Regional Social Policy and Child Protection.

Published in: Government & Nonprofit
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Measuring Child Poverty

  1. 1. Office of Research Innocenti, Florence Measuring Child Poverty UNICEF ECAR 17 April 2018 Lucia Ferrone UNICEF Office of Research lferrone@unicef.org
  2. 2. 2 Poverty: a multi-faceted concept Monetary Poverty Psycho- social well- being Deprivation (MD Poverty) • Focus: RESOURCES, the MEANS TO ACCESS to goods and services necessary for the household members. • Usually measured by: Household income/consumption • Focus: REALIZATION and FULLFILLMENT of basic rights and needs. In particular, of the rights of the child. • Usually measured by: actual access to good and services • Focus: Mental health and SUBJECTIVE PERCEPTION of one’s condition of living. • Usually measured by individual perceptions— ’evaluative’ and ‘experienced’ well- being
  3. 3. 3 How is child poverty different? Why should we focus on child poverty? • Different because •Indicators of child well-being are different than those for adults •Children are dependent on others and less mobile, their environment is especially important •Children do not control income, income may not be spent in ways that benefit children, must therefore measure their welfare directly • Important to focus on children because •Poverty can have lasting effects, alter a child’s life forever •Returns to investing in children occur in the future, but policy- makers can be ‘short-sighted’ and focus on present, ignoring future
  4. 4. 4 SDG Target 1.2 • “1.2 By 2030, reduce at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions.” WHAT is and HOW we measure Child Poverty?
  5. 5. 5 UN Definition of Child Poverty •“Children living in poverty are deprived of nutrition, water and sanitation facilities, access to basic health-care services, shelter, education, participation and protection, and that while a severe lack of goods and services hurts every human being, it is most threatening and harmful to children, leaving them unable to enjoy their rights, to reach their full potential and to participate as full members of the society” (2007) • “Child poverty is everyone’s problem and it should be a national government’s priority” (Dr. Akousa Aidoo )
  6. 6. 6 WHAT can we measure • Poor children: children in poor households • Monetary Poverty lines • Multidimensional Poverty Index (MPI) • Targeted measures of child poverty that center the child as unit of analysis (MODA, Bristol, Child specific MPIs) • Globally / Regionally / Nationally
  7. 7. 7 Differences & Similarities between MODA and MPI • Uses a lot of the same indicators and base of data (DHS, MICS) • Base are binary (0-1) indicators of deprivation • Unit of measure of MPI is household, not child • Global MPI does not allow for life-cycle approach • MODA is used as a more of flexible tool, adaptable to context • Some important technical differences • Nested weights VS Union approach • Units of MPI are indicators, for MODA it’s dimensions
  8. 8. 8 Technical differences: MPI Nested weights Indicators Weight Nutrition 1/6 Child Mortality 1/6 Years of schooling 1/6 School attendance 1/6 Cooking fuel 1/18 Improved Sanitation 1/18 Drinking Water 1/18 Electricity 1/18 Flooring 1/18 Asset Ownership 1/18 Health Education Living Standard 1/3 1/3 1/3 Each dimension has equal weight, and each indicator within each dimension
  9. 9. 9 • A child is deprived in a dimension if she is deprived in ANY INDICATOR within a dimension. Technical differences: MODA Union Approach Dimensions Indicators Deprived if 1. Nutrition Fruit/vegetables No fruit or vegetable during a day Protein meal No protein meal (meat or equivalent) during the day Child Fruit/veg Protein Deprived in nutrition Joanne 0=not dep 0=not dep Not deprived Lori 0=not dep 1=deprived Deprived Lucia 1=dep 1=dep Deprived The implicit weight of each indicator is 1!
  10. 10. 10 Technical differences: Implications • MPI method more reactive to change in one indicator • Union aproach sets a higher bar to lower MD poverty, because it treats deprivation as non- tradable • How to weight contextual deprivation such as water, sanitation etc? Big differences between MODA and MPI • When using union approach the number of indicators for each dimension is crucial
  11. 11. 11 Ideal Priciples for a MDCP measure. • Defined and measured at individual child level •Some household level indicators important (e.g water) • Acknowledge different needs of children of different ages •Indicators, dimensions to be age specific • Reveal the profile of the most disadvantaged •guides the rights-based approach to programming, sheds light on inequality
  12. 12. 12 Comparative Measures vs National Measures • Comparative Measures •Standardized definition of indicators and deprivations, same or harmonized base of data • Global / Low-income countries / EU / Arab States • National Measures •Tailored to the specific country context •Given data availability, indicators and dimensions are defined according to national definitions •Aswer specific questions regarding overlaps, drivers of MDCP, groups of children more at risk etc. •Respond to national programming priorities
  13. 13. 13 1 - Global Extreme Poverty Numbers (1.90$ poverty line) 9.2 19.5 21.5 21.5 18.7 14.6 49.8 50.2 15.9 15.4 12.9 6 0 10 20 30 40 50 60 0 5 10 15 20 25 Adults 18+ Children 0- 17 Children 0-4Children 5-9Children 10- 14 Children 15- 17 Shareofthepoor Povertyrates Poverty rate Share of poor
  14. 14. 14 2 - Gloabl multidimensional CP numbers using the global MPI 37 21 37.2 41.5 37.5 30.1 0 5 10 15 20 25 30 35 40 45 All children Adults 18+ Children 0-4 Children 5-9 Children 10-14 Children 15-17 MPI-poor Children Source: OPHI Briefing 46, Alkire, Jindra, Robles, Vaz: Children’s Multidimensional Poverty: disaggregating the global MPI
  15. 15. 15 3 - Multdimensional child poverty in the Arab States (MODA) – innovation: use of 2 measures, acute and moderate
  16. 16. 16 4 - Multidimensional child poverty in the EU Lowest rate: Norway 5% Highest rate: Romania 85% Children deprived in 2+ dimensions, based on the EU-SILC 2014 child needs module.
  17. 17. 17 - 67% of all children below 18 experience 2-5 deprivations, equal to 247 millions of children - Large differences in multidimensional deprivation incidence across countries, ranging from 30% in Gabon and 90% in Ethiopia - Deprivation intensity highest in Chad, Ethiopia, Congo DR, Niger, CAR, and Mozambique 5 - Multidimensional deprivation incidence and intensity among children in SSA (30 countries) 67.1% 2.6 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Averagedeprivationintensity Multidimensionaldeprivationrate % of children deprived in 2-5 dimensions Average number of deprivations among children with 1-5 deprivations
  18. 18. 18 N-MODA Armenia: dimensions and indicators Dimension Indicator 0-5 years old 6-14 years old 15-17 years old Nutrition Exclusive breastfeeding for at least 6 months X ECEC ECEC attendance (3-5-year- olds) X Education "Place to do homework" X "Stationary necessary for school" X Not in employment or education X Leisure "Space to play outside" X X "Recreation items (toys; bicycle)" X "Books" X Social Interactions "Friends" X X Clothing "Shoes" X X Information No computer at home X X X No internet at home X X X Utilities Water (proteced source less than 8hrs per day or 20 days a month) X X X Heating (no or wood) X X X Housing Overcrowding X X X Housing problems X X X
  19. 19. 19 12.4 23.9 27 20.3 7.9 4.6 2.5 1.4 0 10 20 30 40 Deprived in 0 Deprived in 1 Deprived in 2 Deprived in 3 Deprived in 4 Deprived in 5 Deprived in 6 Deprived in 7 National Urban Rural N-MODA Armenia: Distribution of deprivation, all children 64%
  20. 20. 20 Relationship between n. of deprivation and consumption (Armenia) Big rural/urban divide Poverty line Weak relationship Stronger relationship
  21. 21. 21 What dataset to choose? Has detailed info on young children (esp. nutrition and health) • MICS • DHS Has monetary poverty, more detailed info on education and labour, can have child needs module. • Income and Living conditions survey • HBS Remember: the information needs to come from ONE dataset. Administrative sources, while rich, cannot be used for this analysis
  22. 22. Office of Research Innocenti, Florence Using child poverty data to influence policy UNICEF ECAR 17 April 2018
  23. 23. 23 We have the measure, now what? Using MDCP measure for good • MDCP as a targeting tool for policy • How are social policy doing in targeting deprived children? • Geographical disaggregation for programming •Poverty Mapping • Include MDCP in evaluation designs of Social Security •Evaluation of Cash Trasfers or other interventions • Link MDCP to fiscal analysis and PF4C • CEQ4C
  24. 24. 24 Examples of engagement and use of MDCP • Armenia: •Included in routine Social Snapshot by Statistical Service (http://www.armstat.am/file/article/poverty_2017_english_2.pdf) •Inclusion of child indicators in household survey • Tanzania: • Mapping of MDCP for programming, engagement at local level. • Update of measurement with new wave of survey • Arab Child Poverty: first child poverty measure of any kind for the region, strong advocacy tool •https://theforum.erf.org.eg/2018/02/13/multidimensional-poverty- poorest-parts-mena-agenda-action/
  25. 25. 25 • Policies that deal with child poverty should look at the complexity of the picture depicted by the interrelation of both multidimensional and monetary measures of poverty as complementary tools. • Policies that aim to reduce child poverty should, on the one hand, support household economic empowerment, both through transfers and the labour market; and, on the other hand, implement targeted programmes aimed at reducing a specific deprivation, in particular, more structural ones that can be addressed at the same time (such as utilities and housing). • Policies should concentrate on closing the rural/urban gaps in infrastructure. Also, social safety nets need to be strengthened in rural areas to have a positive impact on general household welfare. • Social protection for families with children need to be expanded to cover more children, coupled with targeted sectorial interventions. Reflections from Armenia
  26. 26. 26 Armenia dissemination brochure
  27. 27. 27 Reflections from Tanzania • Child poverty analysis has informed, and is now embedded in, the National Social Protection Framework • TASAF III/Productive Social Safety Net (PSSN) has the potential to reduce multidimensional child poverty amongst the poorest households, especially if linked to social services → child report triggered the creation of linkages between PSSN and stunting reduction programmes. • Discussions are on-going to include child poverty in the baseline for the SDGs and M&E plan of the Second 5-Year Development Plan. • More emphasis on child poverty by routine surveys: child module added to the HBS questionnaire (in order to enable a measurement of multidimensional poverty) and dedicated chapter on child poverty in Zanzibar HBS report. • Child Poverty report as entry point for enhanced social sector budget analysis (MoFP/UNICEF budget briefs are now routinely produced)
  28. 28. 28
  29. 29. 29 Strategic considerations for national studies • Over-arching objective of the exercise •SDG: track child poverty in all its forms •Get child MD poverty into NDP-open the space for policy dialogue •Not necessarily to pinpoint specific interventions • What measure to pick? Policy vs technical opportunities • Advocacy/Policy interventions/Programming •May be hard to define very specific policy rec. •Uncover the most disadvantaged children •Interests in specific populations groups
  30. 30. 30 Issues and Strategic Choices (1) • Choice of data set: MICS/DHS vs Household Income/Expenditure surveys •MICS/DHS have more detailed info on young children •BUT they don’t have monetary poverty and other detailed info such as child labour and education • We want monetary and MD poverty to get the full picture • Lets get child indicators into the HIES!! •Geographical disaggregation: level of representativeness (sample size)
  31. 31. 31 Don’tsDos Lessons learnt: dos and don’ts • Encourage partnership with national counterparts • Set a clear goal for the study • Disseminate the study as much as possible • Include Child Poverty in National reporting • Include specific further analysis according to national priorities • Start the process without national ownership • Expect too much: trust the technical experts! • Be too optimistic on timeline • Leave the study to dust
  32. 32. 32 Key Elements of a National Report • Analysis for all children, with one number for child MD poverty •Show entire distribution of deprivations •Need this single number to simplify message • Monetary poverty and overlap with deprivation •The ‘four groups’: deprived and poor, deprived only, poor only, not poor and not deprived •Alternative is to use quintiles of asset index, show overlaps with bottom quintile or bottom two quintiles
  33. 33. 33 Key Elements of a National Report • Drivers or ‘profiling’ of deprivation (especially by region) •Important to help identify areas of further research, policy ideas • Who are the most deprived? •From inequality perspective, would be important to see of this group has unique profile • Overlap between dimensions •Potentially hundreds of overlaps – what to do? • Policy recommendations: not easy to define specific policies.
  34. 34. 34 CEQ4C: An equity tool for children • Framework that integrates PF4C (child-related budgets); child poverty measurement; and fiscal policy analysis • Improve evidence base on child specific distributional effects of fiscal policies • Vision: UNICEF has a recognized, rigorous tool to generate evidence, participate in country policy dialogue, improve programming • Proof of concept Country applications UNICEF-CEQ tool (global public good)
  35. 35. 35 What questions can we answer: • What share of public spending in a given country do multidimensionally deprived children benefit from? • Are targeted social transfers benefiting the most deprived (highly MDP) children? • How tax burdens are borne across households with MD poor children? • To what extent public spending on children redress inequalities of consumption/income /wealth? • What are the expected effects of changing the composition and scale of public spending or a proposed fiscal reform into child poverty? • Do fiscal policies (spending and taxation) in a country reduce child poverty?
  36. 36. 36 CEQ4C: Towards an integrated approach
  37. 37. 37 Example: Uganda, using MDCP as filter to analyze budget Source: Author analysis based on UBS 2014. Transfer 1 refers to the Public Work Program; Transfer 2 to the Household Income Support Program; Transfer 3 to the Senior Citizen’s Grant; and Transfer 4 to the Vulnerable Family Support Grant.
  38. 38. 38 • MDCP can be a strategic tool in shaping policy at many levels • Targeting and evaluating social policy, interventions • It is crucial to engage with goverments and statistical offices from the start to ensure buy-in and commitment • Strategy: if the country already has a measure of MD poverty, better to ensure that one is child- friendly than push for a new one Concluding

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