How To Calculate The Atlas Of Social Protection (Aspre)



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Social Protection in the World, Filling in Data Gaps: Where are We? Maddalena Honorati, Claudia Rodriguez Alas and Ruslan Yemtsov Social Protection and Labor Global Practice FAD seminar - IMF June 26, 2014

Outline 1. The Atlas of Social Protection Indicators of Resilience and Equity (ASPIRE) Objective Indicator types Social protection and labor programs classification Where we are Moving ahead 2. The ASPIRE external portal 3. The State of Safety Nets 2014

Outline 1. The Atlas of Social Protection Indicators of Resilience and Equity (ASPIRE) Objective Indicator types Social protection and labor programs classification Where we are Moving ahead 2. The ASPIRE external portal 3. The State of Safety Nets 2014

ASPIRE objectives 1. Build empirical evidence to measure for SPL programs and systems performance Focus also on program complementarities in addressing risks, overlaps Monitor the implementation of the WB 2012-22 SPL Strategy 2. Maintain a global comprehensive, standardized and upto-date database of SPL indicators across countries and time Optimize and capitalize on existing data collection efforts 3. Contribute to improve the quality, availability, comparability of survey and administrative data on SPL

ASPIRE indicator types Country context Country level indicators describing the socio-economic context where SPL programs operate [demographic patters, living arrangements, primary activity rates, age-based poverty rates, employment status, employment structure by sector] Expenditure and program size Program level public expenditure and number of beneficiaries based on administrative data Performance Program level indicators of program performance measured by coverage of the poor, targeting accuracy, adequacy, impacts on poverty and inequality reduction

ASPIRE data sources 1. Administrative records: program level administrative data published or directly collected by WB local consultants 2. Nationally representative household surveys: LSMS HH income expenditure/budget surveys Multiple Indicator Cluster Surveys (MICs) Welfare Monitoring Surveys Statistics on Income and Living Conditions (SILCs) LFS

ASPIRE classification of SPL programs SA LM SI Social assistance (Social Safety Nets) Labor Market Programs (active and passive) Social Insurance (contributory)

Social Assistance programs (not contributory) Classification Cash transfers Social pensions Other cash transfers Conditional cash transfers In kind transfers Public Works School Feeding Other social assistance programs Typology Cash transfer Low Income/last resort program Non-contributory social pensions Family allowances Birth/death grants Disability benefits Conditional cash transfers Food stamps and vouchers Food rations Supplementary feeding Emergency food distribution Cash for work Food for work School Feeding Housing allowances Scholarships Fee waivers, health Subsidies

Social Insurance programs (mostly contributory) Contributory and earnings related pensions Old age pensions National scheme Civil servant Other special Disability pensions National scheme Civil servant Other special Survivorship pensions National scheme Civil servant Other special Other social insurance Occupational injuries Sickness/injury leave Maternity/Paternity benefits Health insurance

Labor Market (LM) programs LM policy services (intermediation) LM policy measures (active LM programs) LM policy supports (passive LM programs) Labor market services (public employment services - PES -offices) Labor market training (vocational, life skills) Job rotation and job sharing Employment incentives (wage subsidies) Employment measures for disabled Workfare Startup incentives (cash and in kind grant, loans) Unemployment insurance (contributory) Unemployment assistance (noncontributory)

Harmonization process Analyze questionnaire and raw data Cleaning data Creation of program specific variables Raw data processing Harmonization Application of ASPIRE template Aggregation of program specific variables into SPL harmonized categories Run ADePT software to generate tables Validate indicators with country task teams Generation of indicators Metadata Generation of metadata to upload in the portal Generation of At Glance Tables

External partnership Inter-agency SPIAC-B (ILO, UNICEF) work on data harmonization: Mapping international SP statistics (Geneva, 2013) Identifying best practices in SPL data collection through HH survey data (Paris, 2013) Establishing collaboration with ADB on: Capacity building for data collection tools (survey and admin) Training Administrative data Luxemburg Income Study Knowledge sharing on survey data harmonization methodologies

Where are we? Portal V1: Performance indicators based on HH surveys for 70 developing countries publicly available in the external portal: Cross-country figures and tables Indicator disaggregation by program, quintiles of welfare (using 20% poorest quintile and $1.25 in PPP) Full documentation of main variables and program classification Include links to IHSN through common survey ID Harmonized program level administrative data on design features along with expenditures and beneficiaries numbers for 30 countries (incomplete data on 120 countries) Data collection ongoing in 15 countries (Africa and Latin America) ADB and ECLAC

www.worldbank.org/aspire

Moving ahead Portal V2 (expected to be live by July 2014) Expand performance indicators to 115 countries Add country context indicators for 120 countries (by gender and age groups) Disaggregation by urban-rural Updated charts/tables and documentation Exploit links and complementarities between admin and survey data Survey (overlap, incidence analysis, non covered, more costly, does not capture small scale programs) Admin (regular, overlap, more reliable in some cases)

www.worldbank.org/aspire

ASPIRE answers: How much do countries spend on SPL programs? How is the country socio economic context where SPL programs operate? What are the trends in the number of beneficiaries covered? How does it vary by quintile of the consumption distribution? What are the types of benefits? Are benefits adequate? Which percentage of benefits is going to poorest quintiles? What is the impact of SPL programs on poverty and inequality reduction?

Outline 1. The Atlas of Social Protection Indicators of Resilience and Equity (ASPIRE) Background and rationale Objective Where we are Ongoing efforts 2. The ASPIRE external portal 3. The State of Safety Nets 2014

Outline 1. The Atlas of Social Protection Indicators of Resilience and Equity (ASPIRE) Background and rationale Objective Where we are Ongoing efforts 2. The ASPIRE external portal 3. The State of Safety Nets 2014

Coverage Evidence 155 countries 475 programs 69 household surveys 276 publications 84 impact evaluations Programs features In-country innovations Spending

Universe of social safety net programs

What s the global coverage of social safety nets? Extreme poor 1 Billion (1.2 Billion) (1019 Million)

but glass one-third full Non-extreme poor covered Extreme poor covered 1 Billion people covered by social safety nets 674 Extreme poor not covered 345 1.2 Billion extreme poor people (living on less than $1.25/day)* 870 79 99 299 315 173 479 278 74 93 Total Low income countries Lower-middle income countries Upper-middle income countries *note: new World Bank poverty estimates based on 2011 PPP under elaboration

Percent population covered by flagship SSNs, % diverse set of country-level challenges 70 St. Lucia 60 Ecuador Dominican Rep. Brazil 50 40 Swaziland 30 Haiti Uruguay 20 10 0 Madagascar Burundi 0 10 20 30 40 50 60 70 80 Percent population below national poverty line, %

BENIN ZAMBIA GHANA CAMEROON TANZANIA NIGER MALI TOGO KENYA BURKINA FASO GAMBIA, THE RWANDA MADAGASCAR MAURITANIA LIBERIA MOZAMBIQUE SWAZILAND ERITREA NAMIBIA BOTSWANA SEYCHELLES SOUTH AFRICA SIERRA LEONE MAURITIUS LESOTHO PAPUA NEW GUINEA SOLOMON ISLANDS VANUATU MALAYSIA LAO, PDR PHILIPPINES VIETNAM SAMOA CHINA CAMBODIA THAILAND INDONESIA FIJI MARSHALL ISLANDS PALAU MONGOLIA KIRIBATI TIMOR-LESTE TAJIKISTAN LATVIA AZERBAIJAN KAZAKHSTAN BULGARIA MACEDONIA, FYR BELARUS TURKEY ARMENIA MONTENEGRO KOSOVO ALBANIA POLAND SERBIA LITHUANIA SLOVAKIA MOLDOVA UKRAINE ESTONIA SLOVENIA RUSSIA BOSNIA & HERZ. ROMANIA KYRGYZ REP. HUNGARY CROATIA GEORGIA PERU HONDURAS MEXICO COLOMBIA EL SALVADOR URUGUAY ST. LUCIA ST. KITTS AND NEV. ECUADOR JAMAICA ARGENTINA CHILE ST. VINCENT BRAZIL PANAMA BELIZE NICARAGUA EGYPT TUNISIA WEST BANK & GAZA KUWAIT MOROCCO SAUDI ARABIA LEBANON SYRIA JORDAN IRAQ YEMEN, REP. BAHRAIN AFGHANISTAN INDIA BANGLADESH BHUTAN PAKISTAN NEPAL MALDIVES SRI LANKA How much is spent on social safety nets? 7 6 % of GDP 5 4 3 2 1 1.6% Average 0 AFR EAP ECA LAC MENA SA Sub-Saharan Africa East Asia & Pacific Eastern Europe & Central Asia Latin America & Caribbean Middle-East & North Africa South Asia

spending is growing % of GDP 4.5 4 3.5 3 2.5 2 1.5 1 0.5 0 2000 2005 2010 Is the 1.6% level appropriate? It depends...

depends relative to what, e.g. to alternative uses of public spending East Asia & Pacific

or relative to specific objectives pursued Level of Income or consumption Average poverty gap $1.25/day poverty line Average level of consumption by the poor (34.8% below the poverty line) Average size of safety net transfers (23% of income/consumption of the poor)

Beginning of a journey 2014 next edition

www.worldbank.org/safetynets

External Domestic 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0%