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Mobile Phone Panel Surveys in Developing Countries

Author

Listed:
  • Andrew Dabalen
  • Alvin Etang
  • Johannes Hoogeveen
  • Elvis Mushi
  • Youdi Schipper
  • Johannes von Engelhardt

Abstract

Household survey data are very useful for monitoring living conditions of citizens of any country. In developing countries, a lot of this data are collected through “traditional” face-to-face household surveys. Due to the remote and dispersed nature of many populations in developing countries, but also because of the complex nature of many survey questionnaires, collection of timely welfare data has often proved expensive and logistically challenging. Yet, there is a need for faster, cheaper to collect, lighter, more nimble data collection methods to address data gaps between big household surveys. The recent proliferation of mobile phone networks has opened new possibilities. By combining baseline data from a traditional household survey with subsequent interviews of selected respondents using mobile phones, this facilitates welfare monitoring and opinion polling almost real time. The purpose of this handbook is to contribute to the development of the new field of mobile phone data collection in developing countries. The handbook documents how this innovative approach to data collection works, its advantages and challenges. The handbook draws primarily from the authors’ first-hand experiences with mobile phone surveys in Africa and also benefits from experiences elsewhere. It is intended to serve a diverse audience including those involved in collecting (representative) data using mobile phones, and those using data collected through this approach. For those who will be implementing a mobile phone panel survey, the different chapters guide them through every stage of the implementation process. For potential users of the data collected via mobile phone technology, the handbook presents a new approach to data collection which they can use for monitoring programs and facilitate almost real time decision-making. A further purpose of this book is to contribute to the debate regarding the advantages of the method as well as the challenges associated with it.

Suggested Citation

  • Andrew Dabalen & Alvin Etang & Johannes Hoogeveen & Elvis Mushi & Youdi Schipper & Johannes von Engelhardt, 2016. "Mobile Phone Panel Surveys in Developing Countries," World Bank Publications - Books, The World Bank Group, number 24595, December.
  • Handle: RePEc:wbk:wbpubs:24595
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    References listed on IDEAS

    as
    1. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries : Lessons from 15 Years of the Living Standards Measurement Study, Volume 3," World Bank Publications - Books, The World Bank Group, number 15195, December.
    2. Lynn, Peter & Roberts, Caroline & Allum, Nick & Eva, Gillian, 2010. "Data quality in telephone surveys and the effect of questionnaire length: a cross- national experiment," ISER Working Paper Series 2010-36, Institute for Social and Economic Research.
    3. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications - Books, The World Bank Group, number 25338, December.
    4. Harold Alderman & Jere Behrman & Hans-Peter Kohler & John A. Maluccio & Susan Watkins, 2001. "Attrition in Longitudinal Household Survey Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(4), pages 79-124.
    5. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries : Lessons from 15 Years of the Living Standards Measurement Study, Volume 2," World Bank Publications - Books, The World Bank Group, number 15194, December.
    6. Demombynes, Gabriel & Gubbins, Paul & Romeo, Alessandro, 2013. "Challenges and opportunities of mobile phone-based data collection : evidence from South Sudan," Policy Research Working Paper Series 6321, The World Bank.
    7. 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.
    8. Daniel H. Hill & Robert J. Willis, 2001. "Reducing Panel Attrition: A Search for Effective Policy Instruments," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 416-438.
    9. 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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    12. Kalle Hirvonen & Alan de Brauw & Gashaw T. Abate, 2021. "Food Consumption and Food Security during the COVID‐19 Pandemic in Addis Ababa," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 772-789, May.
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