Inside the crowd: Assessing the suitability of SMSbased surveys to monitor the food security situation in Uganda
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DOI: 10.22004/ag.econ.344389
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References listed on IDEAS
- Joshua Brubaker & Talip Kilic & Philip Wollburg, 2021.
"Representativeness of individual-level data in COVID-19 phone surveys: Findings from Sub-Saharan Africa,"
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- Brubaker,Joshua Milton & Kilic,Talip & Wollburg,Philip Randolph, 2021. "Representativeness of Individual-Level Data in COVID-19 Phone Surveys : Findings from Sub-Saharan Africa," Policy Research Working Paper Series 9660, The World Bank.
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- Cao, Gewei & Kornher, Lukas & Brandi, Clara, 2025. "How robust are machine learning approaches for improving food security amid crises? - Evidence from COVID-19 in Uganda," World Development, Elsevier, vol. 196(C).
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This paper has been announced in the following NEP Reports:- NEP-AGR-2025-12-08 (Agricultural Economics)
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