Publication:
Reconstructing 2010–2022 Poverty and Inequality Trends in Bangladesh: A Statistical Matching Approach

Simple item page
dc.contributor.authorFernandez, Jaime
dc.contributor.authorOlivieri, Sergio
dc.contributor.authorWambile, Ayago
dc.date.accessioned2024-04-05T17:44:54Z
dc.date.available2024-04-05T17:44:54Z
dc.date.issued2024-04-05
dc.description.abstractThe 2022 Household Income and Expenditure Survey enhances fieldwork, data management, and information quality but poses comparability challenges with previous rounds. This study proposes a two-step process based on statistical matching to fill the information gap in previous survey rounds. This methodology uses the more comprehensive 2022 information to reconstruct comparable consumption measures over time. This allows for a consistent assessment of poverty and inequality measures, providing insights into the changes for policy makers, researchers, and stakeholders over the years. The results reveal that integrating this correction into previous survey rounds would have reduced poverty rates by around 10.6 percentage points between 2010 and 2016 and a further decrease of 7.8 percentage points between 2016 and 2022. Likewise, extreme poverty rates would have witnessed a decline of approximately 3 percentage points in the earlier period and a more substantial drop of 3.6 percentage points in the more recent one. These poverty reduction trends mirror improvements in other dimensions of well-being, like reductions in infant mortality and stunting and increases in access to electricity, sanitary toilets, and literacy rates.en
dc.identifierhttp://documents.worldbank.org/curated/en/099909004042424752/IDU1d09247aa11eea14880185151e814de37fa03
dc.identifier.doi10.1596/1813-9450-10749
dc.identifier.urihttps://hdl.handle.net/10986/41378
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 10749
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectPOVERTY TRENDS
dc.subjectINEQUALITY
dc.subjectPOVERTY MEASUREMENT
dc.subjectLASSO
dc.subjectSTATISTICAL MATCHING
dc.subjectNO POVERTY
dc.subjectSDG 1
dc.titleReconstructing 2010–2022 Poverty and Inequality Trends in Bangladeshen
dc.title.subtitleA Statistical Matching Approachen
dc.typeWorking Paper
dspace.entity.typePublication
okr.crossref.titleReconstructing 2010–2022 Poverty and Inequality Trends in Bangladesh: A Statistical Matching Approach
okr.date.disclosure2024-04-05
okr.date.lastmodified2024-04-04T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099909004042424752/IDU1d09247aa11eea14880185151e814de37fa03
okr.guid099909004042424752
okr.identifier.docmidIDU-d09247aa-1eea-4880-8515-e814de37fa03
okr.identifier.doi10.1596/1813-9450-10749
okr.identifier.doihttps://doi.org/10.1596/1813-9450-10749
okr.identifier.externaldocumentum34295891
okr.identifier.internaldocumentum34295891
okr.identifier.reportWPS10749
okr.import.id3812
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099909004042424752/pdf/IDU1d09247aa11eea14880185151e814de37fa03.pdfen
okr.region.administrativeSouth Asia
okr.region.countryBangladesh
okr.topicMacroeconomics and Economic Growth::Econometrics
okr.topicMacroeconomics and Economic Growth::Income
okr.topicPoverty Reduction::Poverty Assessment
okr.unitEFI-SAR-POV-Poverty and Equity (ESAPV)
relation.isAuthorOfPublicationed2b971d-2da6-512d-8cf3-fca4f4f5c513
relation.isAuthorOfPublication.latestForDiscoveryed2b971d-2da6-512d-8cf3-fca4f4f5c513
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
IDU1d09247aa11eea14880185151e814de37fa03.pdf
Size:
986.87 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
IDU1d09247aa11eea14880185151e814de37fa03.txt
Size:
92.95 KB
Format:
Plain Text
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description:
Download
Collections
Policy Research Working Papers