Publication:
Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models

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dc.contributor.authorZhang, Kexin
dc.contributor.authorTakamatsu, Shinya
dc.contributor.authorYoshida, Nobuo
dc.date.accessioned2024-01-03T22:08:20Z
dc.date.available2024-01-03T22:08:20Z
dc.date.issued2024-01-03
dc.description.abstractTo monitor the evolution of household living conditions during the COVID-19 pandemic, the World Bank conducted COVID-19 High-Frequency Phone Surveys in around 80 countries. Phone surveys are cheap and easy to implement, but they have some major limitations, such as the absence of poverty data, sampling bias due to incomplete telephone coverage in many developing countries, and frequent nonresponses to phone interviews. To overcome these limitations, the World Bank conducted pilots in 20 countries where the Survey of Wellbeing via Instant and Frequent Tracking, a rapid poverty monitoring tool, was adopted to estimate poverty rates based on 10 to 15 simple questions collected via phone interviews, and where sampling weights were adjusted to correct the sampling and nonresponse bias. This paper examines whether reweighting procedures and the Survey of Wellbeing via Instant and Frequent Tracking methodology can eliminate the bias in poverty estimation based on the COVID-19 High-Frequency Phone Surveys. Experiments using artificial phone survey samples show that (i) reweighting procedures cannot fully eliminate bias in poverty estimates, as previous research has demonstrated, but (ii) when combined with Survey of Wellbeing via Instant and Frequent Tracking poverty projections, they effectively eliminate bias in poverty estimates and other statistics.en
dc.identifierhttp://documents.worldbank.org/curated/en/099439112202312439/IDU1e2c666e61beea141bd192b812ed3b1ea5a99
dc.identifier.doi10.1596/1813-9450-10656
dc.identifier.urihttps://openknowledge.worldbank.org/handle/10986/40829
dc.languageEnglish
dc.language.isoen
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Papers; 10656
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectPHONE SURVEY DATA
dc.subjectWEIGHTING
dc.subjectPOVERTY PROJECTIONS
dc.subjectPOVERTY ESTIMATION
dc.subjectCORRECTION OF SAMPLING BIAS
dc.subjectNONRESPONSE BIAS
dc.subjectCOVID-19 PANDEMIC PHONE SURVEY
dc.subjectSURVEY OF WELLBEING
dc.titleCorrecting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Modelsen
dc.typeWorking Paper
dspace.entity.typePublication
okr.crossref.titleCorrecting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models
okr.date.disclosure2023-12-20
okr.date.lastmodified2023-12-20T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099439112202312439/IDU1e2c666e61beea141bd192b812ed3b1ea5a99
okr.guid099439112202312439
okr.identifier.docmidIDU-e2c666e6-beea-41bd-92b8-2ed3b1ea5a99
okr.identifier.doi10.1596/1813-9450-10656
okr.identifier.doihttp://dx.doi.org/10.1596/1813-9450-10656
okr.identifier.externaldocumentum34220656
okr.identifier.internaldocumentum34220656
okr.identifier.reportWPS10656
okr.import.id2664
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099439112202312439/pdf/IDU1e2c666e61beea141bd192b812ed3b1ea5a99.pdfen
okr.region.geographicalWorld
okr.topicPoverty Reduction::Living Standards
okr.topicPoverty Reduction::Poverty and Health
okr.topicPoverty Reduction::Poverty and Policy
okr.unitEFI-EAP-POV-Poverty and Equity (EEAPV)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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