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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.
    • Handle: RePEc:wbk:wbpubs:24595
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    File URL: https://openknowledge.worldbank.org/bitstream/handle/10986/24595/9781464809040.pdf?sequence=2
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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.
    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.
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    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.
    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.
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    Full references (including those not matched with items on IDEAS)

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    7. World Bank Group, 2016. "Republic of Guinea," World Bank Publications - Reports 24724, The World Bank Group.
    8. Gourlay, Sydney & Kilic, Talip & Martuscelli, Antonio & Wollburg, Philip & Zezza, Alberto, 2021. "Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions," Food Policy, Elsevier, vol. 105(C).
    9. Sofia Amaral & Lelys Dinarte-Diaz & Patricio Dominguez & Steffanny Romero & Santiago M. Perez-Vincent, 2022. "Talk or Text? Evaluating Response Rates by Remote Survey Method during Covid-19," CESifo Working Paper Series 9517, CESifo.
    10. Ambel, Alemayehu & McGee, Kevin & Tsegay, Asmelash, 2021. "Reducing Bias in Phone Survey Samples: Effectiveness of Reweighting Techniques Using Face-to-Face Surveys As Frames," 2021 Conference, August 17-31, 2021, Virtual 315301, International Association of Agricultural Economists.
    11. Johanna Choumert-Nkolo & Pascale Phelinas, 2018. "New paradigms for household surveys in low and middle income countries [Nouveaux paradigmes d'élaboration des enquêtes ménages dans les pays du Sud]," Working Papers halshs-01888609, HAL.
    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.
    13. Heath,Rachel & Mansuri,Ghazala & Rijkers,Bob & Seitz,William Hutchins & Sharma,Dhiraj, 2020. "Measuring Employment : Experimental Evidence from Urban Ghana," Policy Research Working Paper Series 9263, The World Bank.
    14. Rao, Lakshman Nagraj & Gentile, Elisabetta & Pipon, Dave & Roque, Jude David & Thuy, Vu Thi Thu, 2020. "The impact of computer-assisted personal interviewing on survey duration, quality, and cost: Evidence from the Viet Nam Labor Force Survey," GLO Discussion Paper Series 605, Global Labor Organization (GLO).

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