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9. World Bank Presentation

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Presentation for Pew Research Center's Methodological Workshop on Public Opinion Research in Sub-Saharan Africa

Published in: Data & Analytics
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9. World Bank Presentation

  1. 1. Mobile Phone Panel Surveys in Africa Alvin Etang Ndip Poverty & Equity GP, World Bank Pew Research Center Nov 30, 2017
  2. 2. The development challenge  Reliable  Timely
  3. 3. New opportunities
  4. 4. http://www.worldbank.org/en/programs/listening-to-africa
  5. 5. - Pilot countries…
  6. 6. 1. Carry out a Baseline survey
  7. 7. 2. Mobile Phone Survey Monthly interviews Provide incentives Short questionnaires
  8. 8. 3. Analysis • Combine mobile data with baseline data • Test for non-response and allow for reweighting 56 70 65 78 77 72 73 75 89 20 47 41 49 59 48 60 54 59 67 24 26 17 17 3 55 36 60 50 55 71 76 73 68 72 44 30 35 22 23 28 27 25 11 80 53 59 51 41 52 40 46 41 33 76 74 83 83 97 100 100 100 100 45 64 40 50 45 29 24 27 32 28 Before 14-Jun 14-Aug 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr Before 14-Jun 14-Aug 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr Before 14-Jun 14-Aug 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr Before 14-Jun 14-Aug 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb IDPs Refguees Niger Refugees Mauritania Returnees Yes No Have you had paid employment in the past week? Impact of the Mali Crisis on Employment - Trends
  9. 9. 4. Dissemination • Invest significant resources in dissemination • All data and questionnaires released into the public domain
  10. 10. Wide range of data can be collected • Service delivery (health, education, water, electricity, etc.) • Migration; Prices; Nutrition and food security; Violence; labor….. Food insecurity is on the rise in Madagascar 0 10 20 30 40 50 60 70 80 Urban Rural Poorest Poor Middle Rich Riches National South %ofhouseholdsstatingYES In the past 7 days, did you worry that your household would not have enough food? Mar-14 Jul-14 Jan-15 Sep-15
  11. 11. Advantages of mobile phone panel surveys • Gathering data in volatile and high-risk environments No ‘boots on ground’ [Data collection in hard-to-access areas] Political crisis/unrest Epidemic e.g. Ebola impact survey: Liberia; S. Leone; Guinea • Quick response to new data needs (Flexibility) E.g. natural disasters • Quick Turnaround (Timeliness) • Cost effectiveness
  12. 12. What it is and it is not • NOT a replacement to household surveys • NOT right platform for lengthy interviews • BUT instead, they are complements to regular surveys • More suitable for: • Monitoring rapidly changing conditions • Obtaining feedback from households
  13. 13. Lessons learned • Attrition and Non-response: • Potentially a major problem (as in all high frequency panels) • Location (rural) matters • Owning own phone • Response rates generally high • Requires vigilance, especially initial stages • Technology can make a difference (Voice, IVR, USSD, SMS) • The quality of support (chargers, phone habits, quality of enumerators (training and protocols)) • There are several ways of minimizing attrition/non-response • If some of the support fail (re-weight ex-post to compensate)
  14. 14. Inspired poverty and conflict monitoring in volatile and high-risk environments (FCV) in Nigeria 14 0 5 10 15 20 25 30 35 North Central North East North West South South Frequency of conflict events Death Displacement Physical Harm Asset Loss Conflict events that happened to family members, by zone
  15. 15. Used for opinion polling in Africa 1. Informed Report of Assessment of Recovery and Development Priorities in Mali’s Conflicted Regions (2016) 7 6 12 9 16 4 26 18 77 90 62 73 Year 1 + 2 (Short term) Years 3-6 (medium term) Citizens Leaders Priority initiatives for households and authorities compared with MIEC financing priorities (%) Governance Security Socioeconomic Development
  16. 16. 2. Views of 1598 Tanzanian hhs, nationally representative Source: Twaweza, SzW Survey (Round 9, October 2013)
  17. 17. Thank you! Contact: aetangndip@worldbank.org

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