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Improving Population and Poverty Estimates with Citizen Surveys: Evidence from East Africa

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  • Carr-Hill, Roy

Abstract

The paper sets out to explore the possibility that citizen-led surveys provide a better coverage of populations and specifically of hard-to-reach poorer areas than the international standardized household surveys which are the basis for many of the estimates used in assessing progress toward meeting the MDGs and will be for the SDGs. This hypothesis is based on the argument that, the local volunteer enumerators of citizen-led surveys are likely to be more sensitive to the specificities of local population distribution and (recent) changes than those centrally trained; and may be more effective at reaching hard-to reach groups such as those nomadic groups and those in urban slums.

Suggested Citation

  • Carr-Hill, Roy, 2017. "Improving Population and Poverty Estimates with Citizen Surveys: Evidence from East Africa," World Development, Elsevier, vol. 93(C), pages 249-259.
    • Handle: RePEc:eee:wdevel:v:93:y:2017:i:c:p:249-259
    DOI: 10.1016/j.worlddev.2016.12.017
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    References listed on IDEAS

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    1. Sara Randall & Ernestina Coast, 2016. "The quality of demographic data on older Africans," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(5), pages 143-174.
    2. repec:qeh:ophiwp:ophiwp072 is not listed on IDEAS
    3. Carr-Hill, Roy, 2013. "Missing Millions and Measuring Development Progress," World Development, Elsevier, vol. 46(C), pages 30-44.
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    Cited by:

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    2. Marion Borderon & Kelsea B. Best & Karen Bailey & Doug L. Hopping & Mackenzie Dove & Chelsea L. Cervantes de Blois, 2021. "The risks of invisibilization of populations and places in environment-migration research," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    3. Dana R Thomson & Douglas R Leasure & Tomas Bird & Nikos Tzavidis & Andrew J Tatem, 2022. "How accurate are WorldPop-Global-Unconstrained gridded population data at the cell-level?: A simulation analysis in urban Namibia," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-23, July.
    4. Matěj Bajgar & Petr Janský & Klára Kalíšková, 2019. "The poor outside the lamplight: on the prevalence of poverty among population groups not included in household surveys," Post-Communist Economies, Taylor & Francis Journals, vol. 31(2), pages 181-199, March.

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