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From Necessity to Opportunity : Lessons for Integrating Phone and In-Person Data Collectionfor Agricultural Statistics in a Post-Pandemic World

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  • Zezza,Alberto
  • Mcgee,Kevin Robert
  • Wollburg,Philip Randolph
  • Assefa,Thomas Woldu
  • Gourlay,Sydney

Abstract

The COVID-19 pandemic has disrupted survey and data systems globally and especially in low- andmiddle-income countries. Lockdowns necessitated remote data collection as demand for data on the impacts of the pandemicsurged. Phone surveys started being implemented at a national scale in many places that previously had limitedexperience with them. As in-person data collection resumes, the experience gained provides the grounds to reflect on howphone surveys may be incorporated into survey and data systems in low- and middle-income countries. This includesagricultural and rural surveys supported by international survey programs such as the World Bank’s Living StandardsMeasurement Study—Integrated Surveys on Agriculture, the Food and Agriculture Organization’s AGRISurvey, or the50x2030 Initiative. Reviewing evidence and experiences from before and during the pandemic, the paper analyzes andprovides guidance on the scope of and considerations for using phone surveys for agricultural data collection. Itaddresses the domains of sampling and representativeness, post-survey adjustments, questionnaire design, respondentselection and behavior, interviewer effects, as well as cost considerations, all with an emphasis on the particularitiesof agricultural and rural surveys. Ultimately, the integration of phone interviews with in-person datacollection offers a promising opportunity to leverage the benefits of phone surveys while addressing theirlimitations, including the depth of content constraints and potential coverage biases, which are especially challengingfor agricultural and rural populations in low- and middle-income countries.

Suggested Citation

  • Zezza,Alberto & Mcgee,Kevin Robert & Wollburg,Philip Randolph & Assefa,Thomas Woldu & Gourlay,Sydney, 2022. "From Necessity to Opportunity : Lessons for Integrating Phone and In-Person Data Collectionfor Agricultural Statistics in a Post-Pandemic World," Policy Research Working Paper Series 10168, The World Bank.
  • Handle: RePEc:wbk:wbrwps:10168
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    References listed on IDEAS

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    1. Aggarwal, Shilpa & Jeong, Dahyeon & Kumar, Naresh & Park, David S. & Robinson, Jonathan & Spearot, Alan, 2020. "Did COVID-19 Market Disruptions Disrupt Food Security? Evidence from Households in Rural Liberia and Malawi," Santa Cruz Department of Economics, Working Paper Series qt40r546sv, Department of Economics, UC Santa Cruz.
    2. Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012. "Reliability of recall in agricultural data," Journal of Development Economics, Elsevier, vol. 98(1), pages 34-41.
    3. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    4. 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.
    5. Carletto,Calogero & Dillon,Andrew S. & Zezza,Alberto, 2021. "Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage," Policy Research Working Paper Series 9745, The World Bank.
    6. 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).
    7. Bart Minten & Belay Mohammed & Seneshaw Tamru, 2020. "Emerging Medium-Scale Tenant Farming, Gig Economies, and the COVID-19 Disruption: The Case of Commercial Vegetable Clusters in Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(5), pages 1402-1429, December.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Deininger, Klaus & Carletto, Calogero & Savastano, Sara & Muwonge, James, 2012. "Can diaries help in improving agricultural production statistics? Evidence from Uganda," Journal of Development Economics, Elsevier, vol. 98(1), pages 42-50.
    13. Zezza, Alberto & Federighi, Giovanni & Kalilou, Amadou Adamou & Hiernaux, Pierre, 2016. "Milking the data: Measuring milk off-take in extensive livestock systems. Experimental evidence from Niger," Food Policy, Elsevier, vol. 59(C), pages 174-186.
    14. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
    15. Kilic,Talip & Van den Broeck,Goedele & Koolwal,Gayatri B. & Moylan,Heather G., 2020. "Are You Being Asked ? Impacts of Respondent Selection on Measuring Employment," Policy Research Working Paper Series 9152, The World Bank.
    16. Elisa M. Maffioli, 2020. "Collecting Data During an Epidemic: A Novel Mobile Phone Research Method," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(8), pages 1231-1255, November.
    17. Ben Leo, Robert Morello, Jonathan Mellon, Tiago Peixoto, and Stephen Davenport, 2015. "Do Mobile Phone Surveys Work in Poor Countries? - Working Paper 398," Working Papers 398, Center for Global Development.
    18. Dillon, Andrew & Karlan, Dean & Udry, Christopher & Zinman, Jonathan, 2020. "Good identification, meet good data," World Development, Elsevier, vol. 127(C).
    19. Gourlay, Sydney & Kilic, Talip & Lobell, David B., 2019. "A new spin on an old debate: Errors in farmer-reported production and their implications for inverse scale - Productivity relationship in Uganda," Journal of Development Economics, Elsevier, vol. 141(C).
    20. 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.
    21. Sara Randall & Ernestina Coast & Natacha Compaore & Philippe Antoine, 2013. "The power of the interviewer," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(27), pages 763-792.
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