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Collecting High-Frequency Data Using Mobile Phones: Do Timely Data Lead to Accountability?

Author

Listed:
  • Croke,Kevin

    (World Bank)

  • Dabalen, Andrew

    (World Bank)

  • Demombynes, Gabriel

    (World Bank)

  • Giugale, Marcelo

    (World Bank)

  • Hoogeveen, Johannes

    (World Bank)

Abstract

As mobile phone ownership rates have risen dramatically in Africa, there has been increased interest in using mobile telephones as a data collection platform. This note draws on two largely successful pilot projects in Tanzania and South Sudan that used mobile phones for high-frequency data collection. Data were collected on a wide range of topics and in a manner that was cost-effective, flexible, and rapid. Once households were included in the survey, they tended to stick with it: respondent fatigue has not been a major issue. While attrition and nonresponse have been challenges in the Tanzania survey, these were due to design flaws in that particular survey, challenges that can be avoided in future similar projects. Ensuring use of the data to demand better service delivery and policy decisions turned out to be as challenging as collecting the high-quality data. Experiences in Tanzania suggest that good data can be translated into public accountability, but also demonstrate that just putting data out in the public domain is not enough. This note discusses lessons learned and offers suggestions for future applications of mobile phone surveys in developing countries, such as those planned for the World Bank’s “Listening to Africa” initiative.

Suggested Citation

  • Croke,Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2013. "Collecting High-Frequency Data Using Mobile Phones: Do Timely Data Lead to Accountability?," World Bank - Economic Premise, The World Bank, issue 102, pages 1-5, January.
  • Handle: RePEc:wbk:prmecp:ep102
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    References listed on IDEAS

    as
    1. Lynn, Peter & Kaminska, Olena, 2011. "The impact of mobile phones on survey measurement error," ISER Working Paper Series 2011-07, Institute for Social and Economic Research.
    2. Baird, Sarah & Özler, Berk, 2012. "Examining the reliability of self-reported data on school participation," Journal of Development Economics, Elsevier, vol. 98(1), pages 89-93.
    3. Brian Dillon, 2012. "Using mobile phones to collect panel data in developing countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 24(4), pages 518-527, May.
    4. Croke, Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2012. "Collecting high frequency panel data in Africa using mobile phone interviews," Policy Research Working Paper Series 6097, The World Bank.
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    More about this item

    JEL classification:

    • H4 - Public Economics - - Publicly Provided Goods
    • H5 - Public Economics - - National Government Expenditures and Related Policies
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations
    • I0 - Health, Education, and Welfare - - General
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

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