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

dc.contributor.author Zezza, Alberto
dc.contributor.author Mcgee, Kevin
dc.contributor.author Wollburg, Philip
dc.contributor.author Assefa, Thomas
dc.contributor.author Gourlay, Sydney
dc.date.accessioned 2022-09-12T20:04:49Z
dc.date.available 2022-09-12T20:04:49Z
dc.date.issued 2022-09
dc.description.abstract The COVID-19 pandemic has disrupted survey and data systems globally and especially in low- and middle-income countries. Lockdowns necessitated remote data collection as demand for data on the impacts of the pandemic surged. Phone surveys started being implemented at a national scale in many places that previously had limited experience with them. As in-person data collection resumes, the experience gained provides the grounds to reflect on how phone surveys may be incorporated into survey and data systems in low- and middle-income countries. This includes agricultural and rural surveys supported by international survey programs such as the World Bank’s Living Standards Measurement Study—Integrated Surveys on Agriculture, the Food and Agriculture Organization’s AGRISurvey, or the 50x2030 Initiative. Reviewing evidence and experiences from before and during the pandemic, the paper analyzes and provides guidance on the scope of and considerations for using phone surveys for agricultural data collection. It addresses the domains of sampling and representativeness, post-survey adjustments, questionnaire design, respondent selection and behavior, interviewer effects, as well as cost considerations, all with an emphasis on the particularities of agricultural and rural surveys. Ultimately, the integration of phone interviews with in-person data collection offers a promising opportunity to leverage the benefits of phone surveys while addressing their limitations, including the depth of content constraints and potential coverage biases, which are especially challenging for agricultural and rural populations in low- and middle-income countries. en
dc.identifier http://documents.worldbank.org/curated/en/099345509082228675/IDU0c4207dd90b4e904b2d0981606099605a594e
dc.identifier.uri http://hdl.handle.net/10986/37992
dc.language English
dc.language.iso en
dc.publisher World Bank, Washington, DC
dc.relation.ispartofseries Policy Research Working Papers;10168
dc.rights CC BY 3.0 IGO
dc.rights.holder World Bank
dc.rights.uri http://creativecommons.org/licenses/by/3.0/igo
dc.subject SURVEY METHODS
dc.subject LIVING STANDARDS
dc.subject HOUSEHOLD SURVEY
dc.subject PHONE SURVEY
dc.subject COVID-19 LOCK-DOWN
dc.subject COVID-19 IMPACT DATA
dc.subject AGRICULTURAL STATISTICS
dc.subject RURAL SURVEY TECHNIQUE
dc.subject RURAL POPULATION
dc.title From Necessity to Opportunity en
dc.title.subtitle Lessons for Integrating Phone and In-Person Data Collection for Agricultural Statistics in a Post-Pandemic World en
dc.type Working Paper en
dc.type Document de travail fr
dc.type Documento de trabajo es
dspace.entity.type Publication
okr.date.disclosure 2022-09-08
okr.date.lastmodified 2022-09-08T00:00:00Z en
okr.doctype Policy Research Working Paper
okr.doctype Publications & Research
okr.docurl http://documents.worldbank.org/curated/en/099345509082228675/IDU0c4207dd90b4e904b2d0981606099605a594e
okr.guid 099345509082228675
okr.identifier.doi 10.1596/1813-9450-10168
okr.identifier.externaldocumentum IDU-c4207dd9-b4e9-4b2d-9816-6099605a594e
okr.identifier.internaldocumentum 33895036
okr.identifier.report WPS10168
okr.imported true en
okr.language.supported en
okr.pdfurl http://documents.worldbank.org/curated/en/099345509082228675/pdf/IDU0c4207dd90b4e904b2d0981606099605a594e.pdf en
okr.topic Gender :: Gender Monitoring and Evaluation
okr.topic Health, Nutrition and Population :: Health Monitoring & Evaluation
okr.topic Information and Communication Technologies :: Digital Divide
okr.topic Poverty Reduction :: Poverty Monitoring & Analysis
okr.topic Social Development :: Poverty and Social Impact Analysis
okr.unit Data Production and Methods (DECPM)
relation.isSeriesOfPublication 26e071dc-b0bf-409c-b982-df2970295c87
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