Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions
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DOI: 10.1016/j.foodpol.2021.102153
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Cited by:
- 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.
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- 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.
- 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.
- 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).
- 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).
- 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).
- 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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