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Frequency and Comparability of Poverty Data in SSA Andrew Dabalen Rose Mungai Nobuo Yoshida

Frequency and Comparability of Poverty Data in SSA Andrew Dabalen Rose Mungai Nobuo Yoshida. PREM Knowledge and Learning April 20, 2011. Availability of poverty data. Multiple goals: Monitor household welfare, demographic changes, Capture impact of short and long term shocks, etc.

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Frequency and Comparability of Poverty Data in SSA Andrew Dabalen Rose Mungai Nobuo Yoshida

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  1. Frequency and Comparability of Poverty Data in SSA Andrew DabalenRose MungaiNobuo Yoshida PREM Knowledge and Learning April 20, 2011

  2. Availability of poverty data • Multiple goals: • Monitor household welfare, demographic changes, • Capture impact of short and long term shocks, etc. • International obligations – MDGs, IDA results, etc. • Ideal Data – characteristics: • Content is relevant to context • Timely • Regularity – dependable cycle or constant frequency • Comparable • Do we have such data?

  3. How are we doing? • Recent WDI exercise • Many teams involved: • DECDG, DECRG, PRMPR, Regions • Increased data points: • 231 data points (Nov 2010) to 577 data points (April 2011) • Provides answers to these questions

  4. Timeliness?

  5. Newness Only 16 countries in Africa have undertaken a survey (2007-10)

  6. Comparability problems

  7. Surveys in Africa

  8. Comparability issues –contd.

  9. Lack of comparability and timeliness in selected Sub-Saharan African countries Availability of $2 a day poverty rates since 1980s

  10. Why Does Comparability Matter? • Development impact cannot be known. • Outcomes not credible • Results not believable

  11. Recognizing comparability problems • Expansion or contraction of consumption list • Food and non-food • Seasonality • Recall periods • Population samples • Field work errors – increase or decline • Ref: Kinnon

  12. What are we doing about these problems? • Short term goals: • Guideline Note – Survey choice and implementation • Support National statistics office to develop effective strategies • Rely on the guide as a tool for making good decisions • Regional project • Survey Based Harmonized Indicator Program (SHIP) • Retail interventions • Household survey clinics • Poverty Assessments • Partnerships – DECRG, PRMPR and DECDG

  13. What are we doing about these problems? • Longer term goals: • Regularize and shorten the survey cycle • Financing - Sustainability of surveys • Timeliness - Learn from on-going innovations/experiments and explore scalability • DREAM • Every country or a large plurality to undertake a survey for the period 2010-2014 to have results for the MDG in 2015.

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