Tracing Pandemic Impacts in the Absence of Regular Survey Data: What Have We Learned from the World Bank’s High-Frequency Phone Surveys?

dc.contributor.authorBrunckhorst, Ben
dc.contributor.authorKim, Yeon Soo
dc.contributor.authorCojocaru, Alexandru
dc.date.accessioned2023-10-10T13:32:58Z
dc.date.available2023-10-10T13:32:58Z
dc.date.issued2023-10-10
dc.description.abstractThe World Bank’s High-Frequency Phone Surveys were deployed to support the monitoring of household welfare during the COVID-19 pandemic, when most of the regular household survey data collection was suspended. This paper reviews the analytical insights gained from the High-Frequency Phone Survey data, including uneven dynamics of household welfare during the pandemic across and within countries, as well as novel applications to simulate estimates of poverty and intergenerational mobility following the pandemic. The paper further derives lessons from the data collection experience. First, phone surveys, while inexpensive and quick, require reliable sampling frames. The predominant sampling strategies—previous household survey and random digit dialing—each have pros and cons in terms of representativeness, non-response, and post-survey adjustments. Second, on questionnaire design, country customization needs to be carefully balanced against standardization when cross-country comparisons are likely to be important. Finally, baseline metrics are critical for crisis monitoring; this requires more frequent welfare monitoring and better alignment of questions in phone surveys and existing data sources. While phone surveys can be a reliable toolkit for researchers and governments, more research is needed on key questions related to the survey mode effect, and the implications of different sampling frames and questionnaire design.en
dc.identifierhttp://documents.worldbank.org/curated/en/099352110062338328/IDU07af731dc0211104efa080d603d304efa4b54
dc.identifier.doi10.1596/1813-9450-10585
dc.identifier.urihttps://openknowledge.worldbank.org/handle/10986/40444
dc.languageEnglish
dc.language.isoen
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Papers; 10585
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectCOVID-19 IMPACTS
dc.subjectHIGH-FREQUENCY PHONE SURVEY
dc.subjectINEQUALITY
dc.subjectHOUSEHOLD WELFARE
dc.subjectSURVEY METHOD
dc.subjectHOUSEHOLD QUESTIONNAIRE DESIGN
dc.titleTracing Pandemic Impacts in the Absence of Regular Survey Dataen
dc.title.subtitleWhat Have We Learned from the World Bank’s High-Frequency Phone Surveys?en
dc.typeWorking Paper
okr.crossref.titleTracing Pandemic Impacts in the Absence of Regular Survey Data: What Have We Learned from the World Bank’s High-Frequency Phone Surveys?
okr.date.disclosure2023-10-06
okr.date.lastmodified2023-10-06T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099352110062338328/IDU07af731dc0211104efa080d603d304efa4b54
okr.guid099352110062338328
okr.identifier.docmidIDU-7af731dc-2111-4efa-80d6-3d304efa4b54
okr.identifier.doi10.1596/1813-9450-10585
okr.identifier.doihttp://dx.doi.org/10.1596/1813-9450-10585
okr.identifier.externaldocumentum34176010
okr.identifier.internaldocumentum34176010
okr.identifier.reportWPS10585
okr.import.id1955
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099352110062338328/pdf/IDU07af731dc0211104efa080d603d304efa4b54.pdfen
okr.sectorSocial Protection
okr.themeInclusive Growth,Gender,Human Development and Gender,Data Development and Capacity Building,Economic Policy,Social Protection,Social Development and Protection,Economic Growth and Planning,Disease Control,Private Sector Development,Pandemic Response,Fragility, Conflict and Violence,Public Sector Management,Jobs,Data production, accessibility and use,Social Safety Nets,Forced Displacement
okr.topicMacroeconomics and Economic Growth::Economic Theory & Research
okr.topicHealth, Nutrition and Population::Health Monitoring & Evaluation
okr.topicSocial Protections and Labor::Labor Markets
okr.topicGender::Gender and Public Expenditures
okr.unitEFI-Poverty and Equity-GE (EPVGE)
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