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Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions

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  • Gourlay, Sydney
  • Kilic, Talip
  • Martuscelli, Antonio
  • Wollburg, Philip
  • Zezza, Alberto

Abstract

Following the onset of the COVID-19 pandemic, face-to-face survey data collection efforts came to a halt due to lockdowns, limitations on mobility and social distancing requirements. What followed was a surge in phone surveys to fulfill rapidly evolving needs for timely and policy-relevant microdata for understanding the socioeconomic impacts of and responses to the pandemic. Even as the face-to-face survey data collection efforts are resuming in different parts of the world with COVID-19 safety protocols, the rapidly-acquired experience with phone surveys on the part of national statistical offices and survey practitioners in low- and middle-income countries appears to have formed the foundation for phone surveys to be more commonly implemented in the post-pandemic era, in response to other shocks and as complementary efforts to face-to-face surveys. Informed by the practical experience with the high-frequency phone surveys that have been implemented with support from the World Bank Living Standards Measurement Study (LSMS) to monitor the socioeconomic impacts of the COVID-19 pandemic, this paper provides an overview of options for the design and implementation of phone surveys to collect representative data from households and individuals. Further, the discussion identifies the requirements for phone surveys to be a mainstay in the toolkits of national statistical offices and the directions for future research on the design and implementation of phone surveys.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jfpoli:v:105:y:2021:i:c:s0306919221001317
    DOI: 10.1016/j.foodpol.2021.102153
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    as
    1. Maros Ivanic & Will Martin, 2008. "Implications of higher global food prices for poverty in low‐income countries1," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 405-416, November.
    2. Kristen Himelein & Jonathan G. Kastelic, 2015. "The Socio-Economic Impacts of Ebola in Liberia," World Bank Publications - Reports 21893, The World Bank Group.
    3. Abay, Kibrom A. & Amare, Mulubrhan & Tiberti, Luca & Andam, Kwaw S. & Wang, Michael, 2022. "COVID-19-induced disruptions of school feeding services exacerbate food insecurity in Nigeria," IFPRI book chapters, in: COVID-19 and global food security: Two years later, chapter 23, pages 135-137, International Food Policy Research Institute (IFPRI).
    4. Kanyanda,Shelton Sofiel Elisa & Markhof,Yannick Valentin & Wollburg,Philip Randolph & Zezza,Alberto, 2021. "Acceptance of COVID-19 Vaccines in Sub-Saharan Africa : Evidence from Six National Phone Surveys," Policy Research Working Paper Series 9739, The World Bank.
    5. Bottan, Nicolas & Hoffmann, Bridget & Vera-Cossio, Diego A., 2021. "Stepping up during a crisis: The unintended effects of a noncontributory pension program during the Covid-19 pandemic," Journal of Development Economics, Elsevier, vol. 150(C).
    6. Priyanka & Dharmender Kumar, 2020. "Decision tree classifier: a detailed survey," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 12(3), pages 246-269.
    7. Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-López, Amparo, 2018. "Not your average job: Measuring farm labor in Tanzania," Journal of Development Economics, Elsevier, vol. 130(C), pages 160-172.
    8. Devika G. & Asha Gowda Karegowda & Ramesh D., 2020. "Survey of WSN Routing Protocols," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 11(1), pages 34-51, January.
    9. World Bank, 2020. "Bangladesh Right To Information Survey 2019," World Bank Publications - Reports 33734, The World Bank Group.
    10. Kilic, Talip & Moylan, Heather & Ilukor, John & Mtengula, Clement & Pangapanga-Phiri, Innocent, 2021. "Root for the tubers: Extended-harvest crop production and productivity measurement in surveys," Food Policy, Elsevier, vol. 102(C).
    11. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    12. Nicolas Bottan & Bridget Hoffmann & Diego Vera-Cossio, 2020. "The unequal impact of the coronavirus pandemic: Evidence from seventeen developing countries," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-10, October.
    13. Anna Josephson & Talip Kilic & Jeffrey D. Michler, 2021. "Socioeconomic impacts of COVID-19 in low-income countries," Nature Human Behaviour, Nature, vol. 5(5), pages 557-565, May.
    14. Ambel,Alemayehu A. & Mcgee,Kevin Robert & Tsegay,Asmelash Haile, 2021. "Reducing Bias in Phone Survey Samples : Effectiveness of Reweighting Techniques Using Face-to-Face Surveys as Frames in Four African Countries," Policy Research Working Paper Series 9676, The World Bank.
    15. Joshua Brubaker & Talip Kilic & Philip Wollburg, 2021. "Representativeness of individual-level data in COVID-19 phone surveys: Findings from Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-27, November.
    16. Abay,Kibrom A. & Berhane,Guush & Hoddinott,John & Hirfrfot,Kibrom Tafere, 2021. "Assessing Response Fatigue in Phone Surveys : Experimental Evidence on Dietary Diversity in Ethiopia," Policy Research Working Paper Series 9636, The World Bank.
    17. 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.
    18. Johannes Hoogeveen & Utz Pape, 2020. "Data Collection in Fragile States," World Bank Publications - Books, The World Bank Group, number 32576.
    19. Ivanic, Maros & Martin, Will, 2008. "Implications of higher global food prices for poverty in low-income countries," Policy Research Working Paper Series 4594, The World Bank.
    20. Amare, Mulubrhan & Abay, Kibrom A. & Tiberti, Luca & Chamberlin, Jordan, 2021. "COVID-19 and food security: Panel data evidence from Nigeria," Food Policy, Elsevier, vol. 101(C).
    21. Knippenberg, Erwin & Jensen, Nathaniel & Constas, Mark, 2019. "Quantifying household resilience with high frequency data: Temporal dynamics and methodological options," World Development, Elsevier, vol. 121(C), pages 1-15.
    22. Belot, Michèle & Choi, Syngjoo & Jamison, Julian C. & Papageorge, Nicholas W. & Tripodi, Egon & van den Broek-Altenburg, Eline, 2020. "Six-Country Survey on COVID-19," IZA Discussion Papers 13230, Institute of Labor Economics (IZA).
    23. A. Mor & M. G. Speranza, 2020. "Vehicle routing problems over time: a survey," 4OR, Springer, vol. 18(2), pages 129-149, June.
    24. Michael Kaganovich & Sinan Sarpca & Xuejuan Su, 2020. "Competition in Higher Education: A Survey," CESifo Working Paper Series 8220, CESifo.
    25. Furbush,Ann & Josephson,Anna Leigh & Kilic,Talip & Michler,Jeffrey David, 2021. "The Evolving Socioeconomic Impacts of COVID-19 in Four African Countries," Policy Research Working Paper Series 9556, The World Bank.
    26. 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.
    27. Palacios-Lopez,Amparo & Newhouse,David Locke & Pape,Utz Johann & Khamis,Melanie & Weber,Michael & Prinz,Daniel, 2021. "The Early Labor Market Impacts of COVID-19 in Developing Countries : Evidence from High-Frequency Phone Surveys," Policy Research Working Paper Series 9510, The World Bank.
    28. World Bank, 2020. "The COVID-19 Pandemic [Pandémie De Covid-19]," World Bank Publications - Reports 33696, The World Bank Group.
    29. Kilic,Talip & Serajuddin,Umar & Uematsu,Hiroki & Yoshida,Nobuo & Kilic,Talip & Serajuddin,Umar & Uematsu,Hiroki & Yoshida,Nobuo, 2017. "Costing household surveys for monitoring progress toward ending extreme poverty and boosting shared prosperity," Policy Research Working Paper Series 7951, The World Bank.
    30. 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.
    31. Kelly L’Engle & Eunice Sefa & Edward Akolgo Adimazoya & Emmanuel Yartey & Rachel Lenzi & Cindy Tarpo & Nii Lante Heward-Mills & Katherine Lew & Yvonne Ampeh, 2018. "Survey research with a random digit dial national mobile phone sample in Ghana: Methods and sample quality," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-11, January.
    32. 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.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Margherita Squarcina & Donato Romano, 2022. "Identifying the transmission channels of COVID-19 impact on poverty and food security in refugee-hosting districts of Uganda," Working Papers - Economics wp2022_08.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    2. Anderson, Ellen & Lybbert, Travis J. & Shenoy, Ashish & Singh, Rupika & Stein, Daniel, 2024. "Does survey mode matter? Comparing in-person and phone agricultural surveys in India," Journal of Development Economics, Elsevier, vol. 166(C).
    3. Joshua Brubaker & Talip Kilic & Philip Wollburg, 2021. "Representativeness of individual-level data in COVID-19 phone surveys: Findings from Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-27, November.
    4. Tilman Brück & Mekdim D. Regassa, 2023. "Usefulness and misrepresentation of phone surveys on COVID-19 and food security in Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(2), pages 423-453, April.
    5. Glazerman, Steven & Grépin, Karen A. & Mueller, Valerie & Rosenbaum, Michael & Wu, Nicole, 2023. "Do referrals improve the representation of women in mobile phone surveys?," Journal of Development Economics, Elsevier, vol. 162(C).
    6. Gouveia, Catarina & Kalakou, Sofia & Cardoso-Grilo, Teresa, 2023. "How to forecast mental healthcare needs? Distinguishing between perceived and unperceived needs and their impact on capacity requirements," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    7. Semakula, Henry Musoke & Liang, Song & Mukwaya, Paul Isolo & Mugagga, Frank, 2023. "Application of a Bayesian network modelling approach to predict the cascading effects of COVID-19 restrictions on the planting activities of smallholder farmers in Uganda," Agricultural Systems, Elsevier, vol. 211(C).
    8. Rodriguez-Segura, Daniel & Schueler, Beth E., 2022. "Can learning be measured by phone? Evidence from Kenya," Economics of Education Review, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    COVID-19; Phone surveys; Household surveys; Survey methods;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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